feat: add API Doc Generator — issue #98

- scripts/api_doc_generator.py: AST-based scanner for scripts/ Python modules
- docs/API.md: generated API reference (33 modules, ~500 lines)
- tests/test_api_doc_generator.py: 12 smoke tests (all passing)

The generator extracts module docstrings and public function signatures (name, args, summary) and produces a markdown table per script. One consolidated document per repo (docs/API.md).

Closes #98

docs/API.md

@@ -0,0 +1,472 @@
+# Compounding Intelligence — Scripts API Reference
+
+*Generated: 2026-04-26 11:02 UTC*
+
+This document auto-documents the public API surface of all scripts
+in `scripts/`. Each section covers one script: module purpose,
+public functions, and their signatures.
+
+---
+
+## `scripts/api_doc_generator.py`
+
+API Doc Generator — Issue #98
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `extract_functions_from_ast` | `extract_functions_from_ast(tree, file_rel)` | Extract public function names, signatures, and first-line doc summaries. |
+| `parse_module` | `parse_module(filepath)` | Parse a Python file and return its module-level docstring and public functions. |
+| `scan_scripts_dir` | `scan_scripts_dir(scripts_dir)` | Scan all .py files in scripts/ and extract API info. |
+| `render_markdown` | `render_markdown(modules)` | Generate full docs/API.md content from the scanned modules. |
+| `render_json` | `render_json(modules)` | Emit machine-readable JSON version of the API reference. |
+| `main` | `main()` | - |
+
+## `scripts/automation_opportunity_finder.py`
+
+Automation Opportunity Finder — Scan fleet for manual processes that could be automated.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `analyze_cron_jobs` | `analyze_cron_jobs(hermes_home)` | Analyze cron job definitions for automation gaps. |
+| `analyze_documents` | `analyze_documents(root_dirs)` | Scan documentation for manual step patterns. |
+| `analyze_scripts` | `analyze_scripts(root_dirs)` | Detect repeated command sequences in scripts. |
+| `analyze_session_transcripts` | `analyze_session_transcripts(session_dirs)` | Find repeated tool-call patterns in session transcripts. |
+| `analyze_shell_history` | `analyze_shell_history(root_dirs)` | Find repeated shell commands from history files. |
+| `deduplicate_proposals` | `deduplicate_proposals(proposals)` | Remove duplicate proposals based on title similarity. |
+| `rank_proposals` | `rank_proposals(proposals)` | Sort proposals by impact * confidence (highest first). |
+| `format_text_report` | `format_text_report(proposals)` | Format proposals as human-readable text. |
+| `main` | `main()` | - |
+
+## `scripts/bootstrapper.py`
+
+Bootstrapper — assemble pre-session context from knowledge store.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `load_index` | `load_index(index_path)` | Load and validate the knowledge index. |
+| `filter_facts` | `filter_facts(facts, repo, agent, include_global)` | Filter facts by repo, agent, and global scope. |
+| `sort_facts` | `sort_facts(facts)` | Sort facts by: confidence (desc), then category priority, then fact text. |
+| `load_repo_knowledge` | `load_repo_knowledge(repo)` | Load per-repo knowledge markdown if it exists. |
+| `load_agent_knowledge` | `load_agent_knowledge(agent)` | Load per-agent knowledge markdown if it exists. |
+| `load_global_knowledge` | `load_global_knowledge()` | Load all global knowledge markdown files. |
+| `render_facts_section` | `render_facts_section(facts, category, label)` | Render a section of facts for a single category. |
+| `estimate_tokens` | `estimate_tokens(text)` | Rough token estimate. |
+| `truncate_to_tokens` | `truncate_to_tokens(text, max_tokens)` | Truncate text to approximately max_tokens, cutting at line boundaries. |
+| `build_bootstrap_context` | `build_bootstrap_context(repo, agent, include_global, max_tokens, index_path)` | Build the full bootstrap context block. |
+| `main` | `main()` | - |
+
+## `scripts/dead_code_detector.py`
+
+Dead Code Detector for Python Codebases
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `is_safe_unused` | `is_safe_unused(name, filepath)` | Check if an unused name is expected to be unused. |
+| `get_git_blame` | `get_git_blame(filepath, lineno)` | Get last author of a line via git blame. |
+| `analyze_file` | `analyze_file(filepath)` | Analyze a single Python file for dead code. |
+| `scan_repo` | `scan_repo(repo_path, exclude_patterns)` | Scan an entire repo for dead code. |
+| `main` | `main()` | - |
+
+## `scripts/dedup.py`
+
+dedup.py — Knowledge deduplication: content hash + semantic similarity.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `normalize_text` | `normalize_text(text)` | Normalize text for hashing: lowercase, collapse whitespace, strip. |
+| `content_hash` | `content_hash(text)` | SHA256 hash of normalized text for exact dedup. |
+| `tokenize` | `tokenize(text)` | Simple tokenizer: lowercase words, 3+ chars. |
+| `token_similarity` | `token_similarity(a, b)` | Token-based Jaccard similarity (0.0-1.0). |
+| `quality_score` | `quality_score(fact)` | Compute quality score for merge ranking. |
+| `merge_facts` | `merge_facts(keep, drop)` | Merge two near-duplicate facts, keeping higher-quality fields. |
+| `dedup_facts` | `dedup_facts(facts, exact_threshold, near_threshold, dry_run)` | Deduplicate a list of knowledge facts. |
+| `dedup_index_file` | `dedup_index_file(input_path, output_path, near_threshold, dry_run)` | Deduplicate an index.json file. |
+| `generate_test_duplicates` | `generate_test_duplicates(n)` | Generate test facts with intentional duplicates for testing. |
+| `main` | `main()` | - |
+
+## `scripts/dependency_graph.py`
+
+Cross-Repo Dependency Graph Builder
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `normalize_repo_name` | `normalize_repo_name(name)` | Normalize a repo name for comparison. |
+| `scan_file_for_deps` | `scan_file_for_deps(filepath, content, own_repo)` | Scan a file's content for references to other repos. |
+| `scan_repo` | `scan_repo(repo_path, repo_name)` | Scan a repo directory for dependencies. |
+| `detect_cycles` | `detect_cycles(graph)` | Detect circular dependencies using DFS. |
+| `to_dot` | `to_dot(graph)` | Generate DOT format output. |
+| `to_mermaid` | `to_mermaid(graph)` | Generate Mermaid format output. |
+| `main` | `main()` | - |
+
+## `scripts/diff_analyzer.py`
+
+Diff Analyzer — Parse unified diffs and categorize every change.
+
+*(no public functions — script runs as `main()` only)*
+
+## `scripts/freshness.py`
+
+Knowledge Freshness Cron — Detect stale entries from code changes (Issue #200)
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `compute_file_hash` | `compute_file_hash(filepath)` | Compute SHA-256 hash of a file. Returns None if file doesn't exist. |
+| `get_git_file_changes` | `get_git_file_changes(repo_path, days)` | Get files changed in git in the last N days. |
+| `load_knowledge_entries` | `load_knowledge_entries(knowledge_dir)` | Load knowledge entries from YAML files in the knowledge directory. |
+| `check_freshness` | `check_freshness(knowledge_dir, repo_root, days)` | Check freshness of knowledge entries against recent code changes. |
+| `update_stale_hashes` | `update_stale_hashes(knowledge_dir, repo_root)` | Update hashes for stale entries. Returns count of updated entries. |
+| `format_report` | `format_report(result, max_items)` | Format freshness check results as a human-readable report. |
+| `main` | `main()` | - |
+
+## `scripts/gitea_issue_parser.py`
+
+Gitea Issue Body Parser — Extract structured data from markdown issue bodies.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `parse_issue_body` | `parse_issue_body(body, title, labels)` | Parse a Gitea issue markdown body into structured JSON. |
+| `fetch_issue_from_url` | `fetch_issue_from_url(url)` | Fetch an issue from a Gitea API URL and parse it. |
+| `main` | `main()` | - |
+
+## `scripts/harvester.py`
+
+harvester.py — Extract durable knowledge from Hermes session transcripts.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `find_api_key` | `find_api_key()` | Find API key from common locations. |
+| `load_extraction_prompt` | `load_extraction_prompt()` | Load the extraction prompt template. |
+| `call_llm` | `call_llm(prompt, transcript, api_base, api_key, model)` | Call the LLM API to extract knowledge from a transcript. |
+| `parse_extraction_response` | `parse_extraction_response(content)` | Parse the LLM response to extract knowledge items. |
+| `load_existing_knowledge` | `load_existing_knowledge(knowledge_dir)` | Load the existing knowledge index. |
+| `fact_fingerprint` | `fact_fingerprint(fact)` | Generate a deduplication fingerprint for a fact. |
+| `deduplicate` | `deduplicate(new_facts, existing, similarity_threshold)` | Remove duplicate facts from new_facts that already exist in the knowledge store. |
+| `validate_fact` | `validate_fact(fact)` | Validate a single knowledge item has required fields. |
+| `write_knowledge` | `write_knowledge(index, new_facts, knowledge_dir, source_session)` | Write new facts to the knowledge store. |
+| `harvest_session` | `harvest_session(session_path, knowledge_dir, api_base, api_key, model, dry_run, min_confidence)` | Harvest knowledge from a single session. |
+| `batch_harvest` | `batch_harvest(sessions_dir, knowledge_dir, api_base, api_key, model, since, limit, dry_run)` | Harvest knowledge from multiple sessions in batch. |
+| `main` | `main()` | - |
+
+## `scripts/improvement_proposals.py`
+
+Improvement Proposal Generator for compounding-intelligence.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `analyze_sessions` | `analyze_sessions(sessions)` | Analyze session data to find waste patterns. |
+| `generate_proposals` | `generate_proposals(patterns, hourly_rate, implementation_overhead)` | Generate improvement proposals from waste patterns. |
+| `format_proposals_markdown` | `format_proposals_markdown(proposals, patterns, generated_at)` | Format proposals as a markdown document. |
+| `format_proposals_json` | `format_proposals_json(proposals)` | Format proposals as JSON. |
+| `main` | `main()` | - |
+
+## `scripts/knowledge_gap_identifier.py`
+
+Knowledge Gap Identifier — Pipeline 10.7
+
+*(no public functions — script runs as `main()` only)*
+
+## `scripts/knowledge_staleness_check.py`
+
+Knowledge Store Staleness Detector — Detect stale knowledge entries by comparing source file hashes.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `compute_file_hash` | `compute_file_hash(filepath)` | Compute SHA-256 hash of a file. Returns None if file doesn't exist. |
+| `check_staleness` | `check_staleness(index_path, repo_root)` | Check all entries in knowledge index for staleness. |
+| `fix_hashes` | `fix_hashes(index_path, repo_root)` | Add hashes to entries missing them. Returns count of fixed entries. |
+| `main` | `main()` | - |
+
+## `scripts/perf_bottleneck_finder.py`
+
+Performance Bottleneck Finder — Identify slow tests, builds, and CI steps.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `find_slow_tests_pytest` | `find_slow_tests_pytest(repo_path)` | Run pytest --durations and parse slow tests. |
+| `find_slow_tests_by_scan` | `find_slow_tests_by_scan(repo_path)` | Scan test files for patterns that indicate slow tests. |
+| `analyze_build_artifacts` | `analyze_build_artifacts(repo_path)` | Find large build artifacts that slow down builds. |
+| `analyze_makefile_targets` | `analyze_makefile_targets(repo_path)` | Analyze Makefile for potentially slow targets. |
+| `analyze_github_actions` | `analyze_github_actions(repo_path)` | Analyze GitHub Actions workflow files for inefficiencies. |
+| `analyze_gitea_ci` | `analyze_gitea_ci(repo_path)` | Analyze Gitea/Drone CI config files. |
+| `find_slow_imports` | `find_slow_imports(repo_path)` | Find Python files with heavy import chains. |
+| `severity_sort_key` | `severity_sort_key(b)` | Sort by severity then duration. |
+| `generate_report` | `generate_report(repo_path)` | Run all analyses and generate a performance report. |
+| `format_markdown` | `format_markdown(report)` | Format report as markdown. |
+| `main` | `main()` | - |
+
+## `scripts/priority_rebalancer.py`
+
+Priority Rebalancer — Re-evaluate issue priorities based on accumulated data.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `collect_knowledge_signals` | `collect_knowledge_signals(knowledge_dir)` | Analyze knowledge store for coverage gaps and staleness. |
+| `collect_staleness_signals` | `collect_staleness_signals(scripts_dir, knowledge_dir)` | Run staleness checker if available. |
+| `collect_metrics_signals` | `collect_metrics_signals(metrics_dir)` | Analyze metrics directory for pipeline health. |
+| `extract_priority` | `extract_priority(labels)` | Extract priority level from issue labels. |
+| `compute_issue_score` | `compute_issue_score(issue, repo, signals, now)` | Compute priority score for a single issue. |
+| `generate_report` | `generate_report(scores, signals, org, repos_scanned)` | Generate the full priority report. |
+| `generate_markdown_report` | `generate_markdown_report(report)` | Generate human-readable markdown report. |
+| `main` | `main()` | - |
+
+## `scripts/refactoring_opportunity_finder.py`
+
+Finds refactoring opportunities in codebases
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `compute_file_complexity` | `compute_file_complexity(filepath)` | Compute cyclomatic complexity for a Python file. |
+| `calculate_refactoring_score` | `calculate_refactoring_score(metrics)` | Calculate a refactoring priority score (0-100) based on file metrics. |
+| `scan_directory` | `scan_directory(directory, extensions)` | Scan directory for source files. |
+| `generate_proposals` | `generate_proposals(directory, min_score)` | Generate refactoring proposals by analyzing source files. |
+| `main` | `main()` | - |
+
+## `scripts/sampler.py`
+
+sampler.py — Score and rank sessions by harvest value.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `scan_session_fast` | `scan_session_fast(path)` | Extract scoring metadata from a session without parsing the full JSONL. |
+| `parse_session_timestamp` | `parse_session_timestamp(filename)` | Parse timestamp from session filename. |
+| `score_session` | `score_session(meta, now, seen_repos)` | Score a session for harvest value. Returns (score, breakdown). |
+| `main` | `main()` | - |
+
+## `scripts/session_metadata.py`
+
+session_metadata.py - Extract structured metadata from Hermes session transcripts.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `extract_session_metadata` | `extract_session_metadata(file_path)` | Extract structured metadata from a Hermes session JSONL transcript. |
+| `process_session_directory` | `process_session_directory(directory_path, output_file)` | Process all JSONL files in a directory. |
+| `main` | `main()` | CLI entry point. |
+
+## `scripts/session_pair_harvester.py`
+
+Session Transcript → Training Pair Harvester
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `compute_hash` | `compute_hash(text)` | Content hash for deduplication. |
+| `extract_pairs_from_session` | `extract_pairs_from_session(session_data, min_ratio, min_response_words)` | Extract terse→rich pairs from a single session object. |
+| `extract_from_jsonl_file` | `extract_from_jsonl_file(filepath, **kwargs)` | Extract pairs from a session JSONL file. |
+| `deduplicate_pairs` | `deduplicate_pairs(pairs)` | Remove duplicate pairs across files. |
+| `main` | `main()` | - |
+
+## `scripts/session_reader.py`
+
+session_reader.py — Parse Hermes session JSONL transcripts.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `read_session` | `read_session(path)` | Read a session JSONL file and return all messages as a list. |
+| `read_session_iter` | `read_session_iter(path)` | Iterate over session messages without loading all into memory. |
+| `extract_conversation` | `extract_conversation(messages)` | Extract user/assistant conversation turns, skipping tool-only messages. |
+| `truncate_for_context` | `truncate_for_context(messages, head, tail)` | Truncate long sessions: keep first N + last N messages. |
+| `messages_to_text` | `messages_to_text(messages)` | Convert message list to plain text for LLM consumption. |
+| `get_session_metadata` | `get_session_metadata(path)` | Extract metadata from a session file (first message often has config info). |
+
+## `scripts/test_automation_opportunity_finder.py`
+
+Tests for scripts/automation_opportunity_finder.py — 8 tests.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `test_analyze_cron_jobs_no_file` | `test_analyze_cron_jobs_no_file()` | Returns empty list when no cron jobs file exists. |
+| `test_analyze_cron_jobs_disabled` | `test_analyze_cron_jobs_disabled()` | Detects disabled cron jobs. |
+| `test_analyze_cron_jobs_errors` | `test_analyze_cron_jobs_errors()` | Detects cron jobs with error status. |
+| `test_analyze_documents_finds_todos` | `test_analyze_documents_finds_todos()` | Detects TODO markers in documents. |
+| `test_analyze_scripts_repeated_commands` | `test_analyze_scripts_repeated_commands()` | Detects repeated shell commands across scripts. |
+| `test_analyze_session_transcripts` | `test_analyze_session_transcripts()` | Detects repeated tool-call sequences. |
+| `test_deduplicate_proposals` | `test_deduplicate_proposals()` | Deduplicates proposals with similar titles. |
+| `test_rank_proposals` | `test_rank_proposals()` | Ranks proposals by impact * confidence. |
+
+## `scripts/test_bootstrapper.py`
+
+Tests for bootstrapper.py — context assembly from knowledge store.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `make_index` | `make_index(facts, tmp_dir)` | Create a temporary index.json with given facts. |
+| `test_empty_index` | `test_empty_index()` | Empty knowledge store produces graceful output. |
+| `test_filter_by_repo` | `test_filter_by_repo()` | Filter facts by repository. |
+| `test_filter_by_agent` | `test_filter_by_agent()` | Filter facts by agent type. |
+| `test_no_global_flag` | `test_no_global_flag()` | Excluding global facts works. |
+| `test_sort_by_confidence` | `test_sort_by_confidence()` | Facts sort by confidence descending. |
+| `test_sort_pitfalls_first` | `test_sort_pitfalls_first()` | Pitfalls sort before facts at same confidence. |
+| `test_truncate_to_tokens` | `test_truncate_to_tokens()` | Truncation cuts at line boundary. |
+| `test_estimate_tokens` | `test_estimate_tokens()` | Token estimation is reasonable. |
+| `test_build_full_context` | `test_build_full_context()` | Full context with facts renders correctly. |
+| `test_max_tokens_respected` | `test_max_tokens_respected()` | Output respects max_tokens limit. |
+| `test_missing_index_graceful` | `test_missing_index_graceful()` | Missing index.json doesn't crash. |
+
+## `scripts/test_diff_analyzer.py`
+
+Tests for scripts/diff_analyzer.py — 10 tests.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `test_empty` | `test_empty()` | - |
+| `test_addition` | `test_addition()` | - |
+| `test_deletion` | `test_deletion()` | - |
+| `test_modification` | `test_modification()` | - |
+| `test_rename` | `test_rename()` | - |
+| `test_multiple_files` | `test_multiple_files()` | - |
+| `test_binary` | `test_binary()` | - |
+| `test_to_dict` | `test_to_dict()` | - |
+| `test_context_only` | `test_context_only()` | - |
+| `test_multi_hunk` | `test_multi_hunk()` | - |
+| `run_all` | `run_all()` | - |
+
+## `scripts/test_gitea_issue_parser.py`
+
+Tests for scripts/gitea_issue_parser.py
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `test_basic_parsing` | `test_basic_parsing()` | - |
+| `test_numbered_criteria` | `test_numbered_criteria()` | - |
+| `test_epic_ref_from_body` | `test_epic_ref_from_body()` | - |
+| `test_empty_body` | `test_empty_body()` | - |
+| `test_no_sections` | `test_no_sections()` | - |
+| `test_multiple_sections` | `test_multiple_sections()` | - |
+| `run_all` | `run_all()` | - |
+
+## `scripts/test_harvest_prompt.py`
+
+Test harness for knowledge extraction prompt.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `validate_knowledge_item` | `validate_knowledge_item(item, idx)` | Validate a single knowledge item. Returns list of errors. |
+| `validate_extraction` | `validate_extraction(data)` | Validate a full extraction result. Returns (is_valid, errors, warnings). |
+| `validate_transcript_coverage` | `validate_transcript_coverage(data, transcript)` | Check that extracted facts are actually supported by the transcript. |
+| `run_tests` | `run_tests()` | Run the built-in test suite. |
+| `validate_file` | `validate_file(filepath)` | Validate an existing extraction JSON file. |
+
+## `scripts/test_harvest_prompt_comprehensive.py`
+
+Comprehensive tests for knowledge extraction prompt.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `check_prompt_structure` | `check_prompt_structure()` | - |
+| `check_confidence_scoring` | `check_confidence_scoring()` | - |
+| `check_example_quality` | `check_example_quality()` | - |
+| `check_constraint_coverage` | `check_constraint_coverage()` | - |
+| `check_test_sessions` | `check_test_sessions()` | - |
+| `test_prompt_structure` | `test_prompt_structure()` | - |
+| `test_confidence_scoring` | `test_confidence_scoring()` | - |
+| `test_example_quality` | `test_example_quality()` | - |
+| `test_constraint_coverage` | `test_constraint_coverage()` | - |
+| `test_test_sessions` | `test_test_sessions()` | - |
+
+## `scripts/test_harvester_pipeline.py`
+
+Smoke test for harvester pipeline — verifies the full chain:
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `test_session_reader` | `test_session_reader()` | Test that session_reader parses JSONL correctly. |
+| `test_validate_fact` | `test_validate_fact()` | Test fact validation. |
+| `test_deduplicate` | `test_deduplicate()` | Test deduplication. |
+| `test_knowledge_store_roundtrip` | `test_knowledge_store_roundtrip()` | Test loading and writing knowledge index. |
+| `test_full_chain_no_llm` | `test_full_chain_no_llm()` | Test the full pipeline minus the LLM call. |
+
+## `scripts/test_improvement_proposals.py`
+
+Tests for scripts/improvement_proposals.py — 15 tests.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `test_empty_sessions` | `test_empty_sessions()` | - |
+| `test_no_patterns_on_clean_sessions` | `test_no_patterns_on_clean_sessions()` | - |
+| `test_repeated_error_detection` | `test_repeated_error_detection()` | Same error across 3+ sessions triggers pattern. |
+| `test_repeated_error_threshold` | `test_repeated_error_threshold()` | 2 occurrences should NOT trigger (threshold is 3). |
+| `test_slow_tool_detection` | `test_slow_tool_detection()` | Tool with avg latency > 5000ms across 5+ calls. |
+| `test_fast_tool_not_flagged` | `test_fast_tool_not_flagged()` | Tool under 5000ms avg should not trigger. |
+| `test_failed_retry_detection` | `test_failed_retry_detection()` | 3+ consecutive calls to same tool triggers retry pattern. |
+| `test_manual_process_detection` | `test_manual_process_detection()` | 10+ tool calls with <= 3 unique tools. |
+| `test_generate_proposals_from_patterns` | `test_generate_proposals_from_patterns()` | Proposals generated from waste patterns. |
+| `test_proposal_roi_positive` | `test_proposal_roi_positive()` | ROI weeks should be a positive number for recoverable time. |
+| `test_proposals_sorted_by_impact` | `test_proposals_sorted_by_impact()` | Proposals should be sorted by monthly hours saved (descending). |
+| `test_format_markdown` | `test_format_markdown()` | Markdown output should contain expected sections. |
+| `test_format_json` | `test_format_json()` | JSON output should be valid and parseable. |
+| `test_normalize_error` | `test_normalize_error()` | Error normalization should remove paths and hashes. |
+| `test_cli_integration` | `test_cli_integration()` | End-to-end test: write input JSON, run script, check output. |
+| `run_all` | `run_all()` | - |
+
+## `scripts/test_knowledge_staleness.py`
+
+Tests for scripts/knowledge_staleness_check.py — 8 tests.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `test_fresh_entry` | `test_fresh_entry()` | - |
+| `test_stale_entry` | `test_stale_entry()` | - |
+| `test_missing_source` | `test_missing_source()` | - |
+| `test_no_hash` | `test_no_hash()` | - |
+| `test_no_source_field` | `test_no_source_field()` | - |
+| `test_fix_hashes` | `test_fix_hashes()` | - |
+| `test_empty_index` | `test_empty_index()` | - |
+| `test_compute_hash_nonexistent` | `test_compute_hash_nonexistent()` | - |
+| `run_all` | `run_all()` | - |
+
+## `scripts/test_priority_rebalancer.py`
+
+Tests for Priority Rebalancer
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `test` | `test(name)` | - |
+| `assert_eq` | `assert_eq(a, b, msg)` | - |
+| `assert_true` | `assert_true(v, msg)` | - |
+| `assert_false` | `assert_false(v, msg)` | - |
+| `make_issue` | `make_issue(**kwargs)` | - |
+
+## `scripts/test_refactoring_opportunity_finder.py`
+
+Tests for scripts/refactoring_opportunity_finder.py — 10 tests.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `test_complexity_simple_function` | `test_complexity_simple_function()` | Simple function should have low complexity. |
+| `test_complexity_with_conditionals` | `test_complexity_with_conditionals()` | Function with if/else should have higher complexity. |
+| `test_complexity_with_loops` | `test_complexity_with_loops()` | Function with loops should increase complexity. |
+| `test_complexity_with_class` | `test_complexity_with_class()` | Class with methods should count both. |
+| `test_complexity_syntax_error` | `test_complexity_syntax_error()` | File with syntax error should return zeros. |
+| `test_refactoring_score_high_complexity` | `test_refactoring_score_high_complexity()` | High complexity should give high score. |
+| `test_refactoring_score_low_complexity` | `test_refactoring_score_low_complexity()` | Low complexity should give lower score. |
+| `test_refactoring_score_high_churn` | `test_refactoring_score_high_churn()` | High churn should increase score. |
+| `test_refactoring_score_no_coverage` | `test_refactoring_score_no_coverage()` | No coverage data should assume medium risk. |
+| `test_refactoring_score_large_file` | `test_refactoring_score_large_file()` | Large files should score higher. |
+| `run_all` | `run_all()` | - |
+
+## `scripts/test_session_pair_harvester.py`
+
+Tests for session_pair_harvester.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `test_basic_extraction` | `test_basic_extraction()` | - |
+| `test_filters_short_responses` | `test_filters_short_responses()` | - |
+| `test_skips_tool_results` | `test_skips_tool_results()` | - |
+| `test_deduplication` | `test_deduplication()` | - |
+| `test_ratio_filter` | `test_ratio_filter()` | - |
+
+## `scripts/validate_knowledge.py`
+
+Validate knowledge files and index.json against the schema.
+
+| Function | Signature | Description |
+|----------|-----------|-------------|
+| `validate_fact` | `validate_fact(fact, src)` | - |
+| `main` | `main()` | - |
+
+
+---
+
+**Total scripts documented:** 33
+
+*Generated by `scripts/api_doc_generator.py` (Issue #98)*

scripts/api_doc_generator.py

@@ -0,0 +1,219 @@
+#!/usr/bin/env python3
+"""
+API Doc Generator — Issue #98
+
+Scans all Python modules in `scripts/`, extracts their public API surface
+(module docstring + public function signatures + first-line doc summaries),
+and produces a single markdown reference document at `docs/API.md`.
+
+Usage:
+    python3 scripts/api_doc_generator.py          # Write docs/API.md
+    python3 scripts/api_doc_generator.py --check  # Verify docs/API.md is up-to-date
+    python3 scripts/api_doc_generator.py --json   # Emit JSON for downstream tooling
+"""
+
+from __future__ import annotations
+
+import ast
+import os
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import TypedDict, List, Optional
+
+
+# ─── Paths ────────────────────────────────────────────────────────────────────
+SCRIPT_DIR = Path(__file__).resolve().parent
+REPO_ROOT = SCRIPT_DIR.parent
+SCRIPTS_DIR = REPO_ROOT / "scripts"
+DOCS_DIR = REPO_ROOT / "docs"
+OUTPUT_PATH = DOCS_DIR / "API.md"
+
+
+# ─── Data structures ───────────────────────────────────────────────────────────
+class FunctionInfo(TypedDict):
+    name: str
+    signature: str
+    summary: str
+
+
+class ModuleInfo(TypedDict):
+    path: str  # relative to repo root, e.g. "scripts/harvester.py"
+    docstring: str
+    functions: List[FunctionInfo]
+
+
+# ─── AST extraction ────────────────────────────────────────────────────────────
+def extract_functions_from_ast(tree: ast.AST, file_rel: str) -> List[FunctionInfo]:
+    """Extract public function names, signatures, and first-line doc summaries."""
+    funcs: list[FunctionInfo] = []
+
+    for node in ast.iter_child_nodes(tree):
+        if not isinstance(node, ast.FunctionDef):
+            continue
+        # Skip private functions
+        if node.name.startswith("_"):
+            continue
+
+        # Build signature: arg1, arg2=default, *args, **kwargs
+        args = []
+        for arg in node.args.args:
+            args.append(arg.arg)
+        if node.args.vararg:
+            args.append(f"*{node.args.vararg.arg}")
+        if node.args.kwarg:
+            args.append(f"**{node.args.kwarg.arg}")
+
+        # Get first line of docstring
+        summary = ""
+        if (node.body and isinstance(node.body[0], ast.Expr) and
+            isinstance(node.body[0].value, ast.Constant) and
+            isinstance(node.body[0].value.value, str)):
+            raw = node.body[0].value.value.strip()
+            summary = raw.split("\n")[0].strip()
+            if len(summary) > 100:
+                summary = summary[:97] + "..."
+
+        funcs.append({
+            "name": node.name,
+            "signature": ", ".join(args),
+            "summary": summary,
+        })
+
+    return funcs
+
+
+def parse_module(filepath: Path) -> Optional[ModuleInfo]:
+    """Parse a Python file and return its module-level docstring and public functions."""
+    try:
+        with open(filepath, "r", encoding="utf-8") as f:
+            source = f.read()
+        tree = ast.parse(source, filename=str(filepath))
+    except Exception as e:
+        print(f"WARNING: Could not parse {filepath}: {e}", file=sys.stderr)
+        return None
+
+    # Module docstring
+    module_doc = ast.get_docstring(tree) or ""
+    module_doc = module_doc.strip().split("\n")[0]  # first line only
+
+    # Public functions
+    functions = extract_functions_from_ast(tree, filepath.name)
+
+    rel = filepath.relative_to(REPO_ROOT)
+    return {
+        "path": str(rel),
+        "docstring": module_doc,
+        "functions": functions,
+    }
+
+
+# ─── Scanning ──────────────────────────────────────────────────────────────────
+def scan_scripts_dir(scripts_dir: Path) -> List[ModuleInfo]:
+    """Scan all .py files in scripts/ and extract API info."""
+    modules: list[ModuleInfo] = []
+    for pyfile in sorted(scripts_dir.glob("*.py")):
+        info = parse_module(pyfile)
+        if info is not None:
+            modules.append(info)
+    return modules
+
+
+# ─── Markdown rendering ─────────────────────────────────────────────────────────
+def render_markdown(modules: List[ModuleInfo]) -> str:
+    """Generate full docs/API.md content from the scanned modules."""
+    lines = [
+        "# Compounding Intelligence — Scripts API Reference",
+        "",
+        f"*Generated: {datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')}*",
+        "",
+        "This document auto-documents the public API surface of all scripts",
+        "in `scripts/`. Each section covers one script: module purpose,",
+        "public functions, and their signatures.",
+        "",
+        "---",
+        "",
+    ]
+
+    for mod in modules:
+        rel = mod["path"]
+        name = Path(rel).stem  # e.g. harvester
+        lines.append(f"## `{rel}`")
+        lines.append("")
+        if mod["docstring"]:
+            lines.append(mod["docstring"])
+            lines.append("")
+
+        if mod["functions"]:
+            lines.append("| Function | Signature | Description |")
+            lines.append("|----------|-----------|-------------|")
+            for fn in mod["functions"]:
+                sig = fn["name"] + "(" + fn["signature"] + ")"
+                desc = fn["summary"] or "-"
+                lines.append(f"| `{fn['name']}` | `{sig}` | {desc} |")
+            lines.append("")
+        else:
+            lines.append("*(no public functions — script runs as `main()` only)*")
+            lines.append("")
+
+    lines.extend([
+        "",
+        "---",
+        "",
+        f"**Total scripts documented:** {len(modules)}",
+        "",
+        "*Generated by `scripts/api_doc_generator.py` (Issue #98)*",
+    ])
+    return "\n".join(lines)
+
+
+# ─── JSON output (optional, for automation) ───────────────────────────────────
+def render_json(modules: List[ModuleInfo]) -> str:
+    """Emit machine-readable JSON version of the API reference."""
+    import json
+    payload = {
+        "generated_at": datetime.now(timezone.utc).isoformat(),
+        "generator": "scripts/api_doc_generator.py",
+        "repo": "Timmy_Foundation/compounding-intelligence",
+        "modules": modules,
+    }
+    return json.dumps(payload, indent=2)
+
+
+# ─── Main ──────────────────────────────────────────────────────────────────────
+def main() -> int:
+    import argparse
+    parser = argparse.ArgumentParser(description="Generate API docs for scripts/")
+    parser.add_argument("--check", action="store_true",
+                        help="Exit 1 if docs/API.md is out-of-date")
+    parser.add_argument("--json", action="store_true",
+                        help="Emit JSON to stdout instead of writing markdown")
+    args = parser.parse_args()
+
+    modules = scan_scripts_dir(SCRIPTS_DIR)
+    modules.sort(key=lambda m: m["path"])
+
+    if args.json:
+        print(render_json(modules))
+        return 0
+
+    md = render_markdown(modules)
+
+    if args.check:
+        if OUTPUT_PATH.exists():
+            existing = OUTPUT_PATH.read_text(encoding="utf-8")
+            if existing == md:
+                print("✅ docs/API.md is up-to-date")
+                return 0
+        print("❌ docs/API.md is missing or out-of-date — regenerate with "
+              "`python3 scripts/api_doc_generator.py`", file=sys.stderr)
+        return 1
+
+    DOCS_DIR.mkdir(parents=True, exist_ok=True)
+    OUTPUT_PATH.write_text(md, encoding="utf-8")
+    print(f"✅ Wrote {OUTPUT_PATH}  ({len(modules)} modules documented)")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/conference_summarizer.py

@@ -1,283 +0,0 @@
-#!/usr/bin/env python3
-"""
-conference_summarizer.py — Extract knowledge from conference talk transcripts.
-
-Reads a plain-text transcript and uses LLM to extract durable knowledge items.
-Integrates with the knowledge store (index.json + knowledge/conferences/talks.md).
-
-Usage:
-    python3 conference_summarizer.py --transcript talk.txt --conference "AI拂晓" --domain global
-    python3 conference_summarizer.py --transcript talk.txt --domain the-nexus  # talk about that repo
-    python3 conference_summarizer.py --transcript talk.txt --dry-run
-
-Refs: Issue #138 — 7.6: Conference Talk Summarizer
-"""
-
-import argparse
-import hashlib
-import json
-import sys
-import time
-from datetime import datetime, timezone
-from pathlib import Path
-
-SCRIPT_DIR = Path(__file__).parent.absolute()
-REPO_ROOT = SCRIPT_DIR.parent
-KNOWLEDGE_DIR = REPO_ROOT / "knowledge"
-
-DEFAULT_API_BASE = "https://api.nousresearch.com/v1"
-DEFAULT_API_KEY = ""
-DEFAULT_MODEL = "xiaomi/mimo-v2-pro"
-
-API_KEY_PATHS = [
-    Path.home() / ".config/nous/key",
-    Path.home() / ".hermes/keymaxxing/active/minimax.key",
-    Path.home() / ".config/openrouter/key",
-]
-
-
-def find_api_key() -> str:
-    for path in API_KEY_PATHS:
-        if path.exists():
-            return path.read_text().strip()
-    return ""
-
-
-def load_prompt() -> str:
-    path = SCRIPT_DIR.parent / "templates" / "conference-summary-prompt.md"
-    if not path.exists():
-        print(f"ERROR: Prompt not found at {path}", file=sys.stderr)
-        sys.exit(1)
-    return path.read_text(encoding="utf-8")
-
-
-def truncate_for_context(text: str, head: int = 120, tail: int = 120) -> str:
-    lines = text.splitlines()
-    if len(lines) <= head + tail:
-        return text
-    return (
-        "\n".join(lines[:head])
-        + "\n\n... [truncated] ...\n\n"
-        + "\n".join(lines[-tail:])
-    )
-
-
-def call_llm(prompt: str, transcript: str, api_base: str, api_key: str, model: str):
-    import urllib.request
-
-    messages = [
-        {"role": "system", "content": prompt},
-        {"role": "user", "content": f"Transcript:\n\n{truncate_for_context(transcript)}"},
-    ]
-    payload = json.dumps(
-        {"model": model, "messages": messages, "temperature": 0.1, "max_tokens": 4096}
-    ).encode("utf-8")
-    req = urllib.request.Request(
-        f"{api_base}/chat/completions",
-        data=payload,
-        headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
-    )
-    try:
-        with urllib.request.urlopen(req, timeout=60) as resp:
-            data = json.loads(resp.read())
-            content = data["choices"][0]["message"]["content"].strip()
-            # Strip code fences
-            if content.startswith("```"):
-                content = content.split("\n", 1)[1].rsplit("```", 1)[0].strip()
-            return json.loads(content)
-    except Exception as e:
-        print(f"ERROR: LLM extraction failed: {e}", file=sys.stderr)
-        return None
-
-
-def load_index(knowledge_dir: Path) -> dict:
-    index_path = knowledge_dir / "index.json"
-    if index_path.exists():
-        with open(index_path) as f:
-            return json.load(f)
-    return {"version": 1, "total_facts": 0, "facts": []}
-
-
-def content_hash(text: str) -> str:
-    normalized = " ".join(text.lower().strip().split())
-    return hashlib.sha256(normalized.encode("utf-8")).hexdigest()
-
-
-def compute_next_sequence(existing_facts: list[dict], domain: str, category: str) -> int:
-    """Compute next sequence number for (domain, category) based on existing IDs."""
-    max_seq = 0
-    for f in existing_facts:
-        fid = f.get("id", "")
-        parts = fid.split(":")
-        if len(parts) == 3 and parts[0] == domain and parts[1] == category:
-            try:
-                seq = int(parts[2])
-                max_seq = max(max_seq, seq)
-            except ValueError:
-                pass
-    return max_seq + 1
-
-
-def deduplicate(new_facts: list[dict], existing: list[dict]) -> list[dict]:
-    """Exact-deduplicate by content hash; near-dedup by token overlap."""
-    existing_hashes = {content_hash(f["fact"]): f for f in existing}
-    existing_texts = [f["fact"].lower() for f in existing]
-    unique = []
-    for fact in new_facts:
-        text = fact.get("fact", "")
-        h = content_hash(text)
-        if h in existing_hashes:
-            continue
-        # Near-dedup: token Jaccard >= 0.8
-        tokens = set(text.lower().split())
-        for ex in existing_texts:
-            ex_tokens = set(ex.split())
-            if tokens and ex_tokens:
-                inter = len(tokens & ex_tokens)
-                union = len(tokens | ex_tokens)
-                if inter / union >= 0.8:
-                    break
-        else:
-            unique.append(fact)
-    return unique
-
-
-def validate_fact(fact: dict) -> bool:
-    required = ["fact", "category", "domain", "confidence"]
-    for field in required:
-        if field not in fact:
-            return False
-    if not isinstance(fact["fact"], str) or not fact["fact"].strip():
-        return False
-    if fact["category"] not in ["fact", "pitfall", "pattern", "tool-quirk", "question"]:
-        return False
-    c = fact.get("confidence", 0)
-    return isinstance(c, (int, float)) and 0.0 <= c <= 1.0
-
-
-def write_knowledge(index: dict, new_facts: list[dict], knowledge_dir: Path):
-    kdir = knowledge_dir
-    kdir.mkdir(parents=True, exist_ok=True)
-
-    for fact in new_facts:
-        fact["harvested_at"] = datetime.now(timezone.utc).isoformat()
-        fact["source"] = "conference-talk"
-
-    index["facts"].extend(new_facts)
-    index["total_facts"] = len(index["facts"])
-    index["last_updated"] = datetime.now(timezone.utc).isoformat()
-
-    # index.json
-    with open(kdir / "index.json", "w", encoding="utf-8") as f:
-        json.dump(index, f, indent=2, ensure_ascii=False)
-
-    # conferences/talks.md (human-readable)
-    conf_dir = kdir / "conferences"
-    conf_dir.mkdir(parents=True, exist_ok=True)
-    conf_md = conf_dir / "talks.md"
-    mode = "a" if conf_md.exists() else "w"
-    with open(conf_md, mode, encoding="utf-8") as f:
-        if mode == "w":
-            f.write("# Conference Talk Knowledge\n\n")
-        f.write(
-            f"## {datetime.now(timezone.utc).strftime('%Y-%m-%d')} — {len(new_facts)} items\n\n"
-        )
-        for fact in new_facts:
-            icon = {"fact": "📋", "pitfall": "⚠️", "pattern": "🔄", "tool-quirk": "🔧", "question": "❓"}.get(fact["category"], "•")
-            f.write(f"- {icon} **{fact['category']}** (conf: {fact['confidence']:.1f}): {fact['fact']}\n")
-            if fact.get("evidence"):
-                f.write(f"  _Evidence: {fact['evidence']}_\n")
-            f.write("\n")
-
-
-def main():
-    parser = argparse.ArgumentParser(description="Summarize conference talks into knowledge store")
-    parser.add_argument("--transcript", required=True, help="Path to transcript text file")
-    parser.add_argument("--conference", default="unknown", help="Conference name")
-    parser.add_argument("--title", default="", help="Talk title")
-    parser.add_argument("--speaker", default="", help="Speaker name(s)")
-    parser.add_argument("--talk-url", default="", help="URL to talk/video")
-    parser.add_argument("--domain", default="global", help="Domain: global or repo/agent name")
-    parser.add_argument("--knowledge-dir", default=str(KNOWLEDGE_DIR), help="Knowledge store directory")
-    parser.add_argument("--api-base", default=DEFAULT_API_BASE, help="LLM API base URL")
-    parser.add_argument("--api-key", default="", help="LLM API key")
-    parser.add_argument("--model", default=DEFAULT_MODEL, help="Model to use")
-    parser.add_argument("--dry-run", action="store_true", help="Preview without writing")
-    parser.add_argument("--min-confidence", type=float, default=0.3, help="Minimum confidence threshold")
-    args = parser.parse_args()
-
-    transcript_path = Path(args.transcript)
-    if not transcript_path.exists():
-        print(f"ERROR: Transcript not found: {transcript_path}", file=sys.stderr)
-        sys.exit(1)
-    transcript = transcript_path.read_text(encoding="utf-8", errors="replace")
-    if not transcript.strip():
-        print("ERROR: Transcript is empty", file=sys.stderr)
-        sys.exit(1)
-
-    api_key = args.api_key or DEFAULT_API_KEY or find_api_key()
-    if not api_key:
-        print("ERROR: No API key. Set HARVESTER_API_KEY or pass --api-key", file=sys.stderr)
-        sys.exit(1)
-
-    prompt = load_prompt()
-    print(f"Summarizing '{transcript_path.name}'  domain={args.domain}  conf={args.conference}")
-    start = time.time()
-    extracted = call_llm(prompt, transcript, args.api_base, api_key, args.model)
-    if extracted is None:
-        print("ERROR: LLM extraction failed", file=sys.stderr)
-        sys.exit(1)
-
-    raw_items = extracted.get("knowledge", [])
-    print(f"  Raw items: {len(raw_items)}")
-    valid = [f for f in raw_items if validate_fact(f) and f.get("confidence", 0) >= args.min_confidence]
-    print(f"  Valid: {len(valid)}")
-
-    if not valid:
-        print("WARNING: No valid items extracted", file=sys.stderr)
-        sys.exit(1)
-
-    kdir = Path(args.knowledge_dir)
-    index = load_index(kdir)
-    existing_facts = index.get("facts", [])
-    new_facts = deduplicate(valid, existing_facts)
-    print(f"  New (non-duplicate): {len(new_facts)}")
-
-    if not new_facts:
-        print("All items duplicated — nothing to write.")
-        sys.exit(0)
-
-    # Assign IDs per (domain, category) sequence
-    seq_counters = {}
-    # Count existing for this domain
-    for f in existing_facts:
-        if f.get("domain") == args.domain:
-            cat = f.get("category", "fact")
-            key = (args.domain, cat)
-            seq_counters[key] = seq_counters.get(key, 0) + 1
-    # Now next sequence for each category in new_facts
-    for fact in new_facts:
-        cat = fact["category"]
-        key = (args.domain, cat)
-        next_seq = seq_counters.get(key, 0) + 1
-        seq_counters[key] = next_seq
-        fact["id"] = f"{args.domain}:{cat}:{next_seq:03d}"
-        fact["domain"] = args.domain
-        fact.setdefault("tags", []).extend([args.conference, "conference-talk"])
-        fact["first_seen"] = datetime.now(timezone.utc).strftime("%Y-%m-%d")
-        fact["last_confirmed"] = fact["first_seen"]
-        fact["source_count"] = 1
-        fact["talk_meta"] = extracted.get("meta", {})
-
-    if args.dry_run:
-        print("DRY RUN — items that would be added:")
-        for f in new_facts:
-            print(f"  [{f['category']}] {f['fact'][:90]}")
-        sys.exit(0)
-
-    write_knowledge(index, new_facts, kdir)
-    print(f"✓ Stored {len(new_facts)} items to knowledge store in {time.time() - start:.1f}s")
-
-
-if __name__ == "__main__":
-    main()

templates/conference-summary-prompt.md

@@ -1,72 +0,0 @@
-# Conference Talk Knowledge Extraction Prompt
-
-## System Prompt
-
-You are a knowledge extraction engine specialized in conference talks. You read talk transcripts and output ONLY structured JSON. You extract factual insights, patterns, tool discoveries, and warnings that are durable and actionable for the Timmy Foundation fleet.
-
-## Prompt
-
-```
-TASK: Extract durable knowledge from this conference talk transcript.
-
-RULES:
-1. Extract ONLY information explicitly stated or strongly implied in the transcript.
-2. Do NOT hallucinate, infer unsupported details, or invent quotes.
-3. Every fact must be grounded in something the speaker actually said.
-4. Focus on **durable, reusable** knowledge — not specific project details that won't apply elsewhere.
-5. Prioritize insights that improve: workflows, tool usage, system design, governance, or operational reliability.
-
-CATEGORIES (assign exactly one per item):
-- fact: Concrete, verifiable takeaway (technical detail, config, workflow)
-- pitfall: Mistake, trap, or cost of wrong approach the speaker warned about
-- pattern: Successful approach, sequence, or template worth reusing
-- tool-quirk: Unexpected behavior, gotcha, or setup detail for a specific tool/platform
-- question: Something raised but not fully answered — worth investigating further
-
-CONFIDENCE:
-- 0.9–1.0: Explicitly stated by speaker with clear reasoning/evidence
-- 0.7–0.8: Clearly implied by multiple statements, speaker's expertise
-- 0.5–0.6: Suggested or hinted, but not directly confirmed
-- 0.3–0.4: Interpretive, speculative, or single-data-point observation
-
-TARGET DOMAIN:
-- If talk is about a specific repo (e.g. hermes-agent, the-nexus), set `domain` to that repo name.
-- If talk is about general principles, fleet processes, or multiple repos, set `domain` to "global".
-- If talk is about an agent type (mimo, groq, claude), set `domain` to the agent name.
-- If talk is about the compounding-intelligence system itself, set `domain` to "compounding-intelligence".
-
-OUTPUT FORMAT (valid JSON only, no markdown, no explanation):
-
-{
-  "knowledge": [
-    {
-      "fact": "One specific, actionable sentence of knowledge",
-      "category": "fact|pitfall|pattern|tool-quirk|question",
-      "domain": "global|{repo}|{agent}|compounding-intelligence",
-      "confidence": 0.0-1.0,
-      "tags": ["relevant", "keywords"],
-      "evidence": "Brief paraphrase or quote from the transcript that supports this"
-    }
-  ],
-  "meta": {
-    "talk_title": "Title of the talk (if known)",
-    "speaker": "Speaker name(s)",
-    "conference": "Conference name",
-    "talk_url": "URL to talk/video (if available)",
-    "knowledge_count": 0,
-    "extraction_date": "2026-04-26"
-  }
-}
-
-TRANSCRIPT:
-{{transcript}}
-```
-
-## Design Notes
-
-- Keep `fact` field to **one clear sentence**. Avoid run-ons.
-- `evidence` should be a 1–2 sentence paraphrase, not verbatim paragraph.
-- `tags` should include: tool names, repo names, agent types, concepts mentioned
-- Focus on what the fleet can **reuse tomorrow**, not ephemeral project context
-- If the talk is high-level vision with no concrete details, that's a `question` or low-confidence `fact`
-

tests/test_api_doc_generator.py

@@ -0,0 +1,148 @@
+#!/usr/bin/env python3
+"""
+Smoke tests for API Doc Generator — Issue #98
+
+Validates that the generator runs, produces docs/API.md, and that
+the generated markdown contains expected sections for the known scripts.
+"""
+
+from __future__ import annotations
+
+import subprocess
+import sys
+from pathlib import Path
+
+import pytest
+
+# Resolve repo root
+REPO_ROOT = Path(__file__).resolve().parents[1]
+SCRIPTS_DIR = REPO_ROOT / "scripts"
+DOCS_DIR = REPO_ROOT / "docs"
+API_MD = DOCS_DIR / "API.md"
+GENERATOR = SCRIPTS_DIR / "api_doc_generator.py"
+
+
+# ─── Generator presence ─────────────────────────────────────────────────────────
+class TestGeneratorPresence:
+    def test_generator_script_exists(self):
+        assert GENERATOR.exists(), f"Missing: {GENERATOR}"
+
+    def test_generator_is_executable(self):
+        with open(GENERATOR) as f:
+            first = f.readline().strip()
+        assert first.startswith("#!"), "Missing shebang"
+        assert "python" in first.lower()
+
+
+# ─── API.md generation ──────────────────────────────────────────────────────────
+class TestAPIDocGeneration:
+    def test_generator_runs_successfully(self):
+        """Run the generator and verify exit code 0."""
+        result = subprocess.run(
+            [sys.executable, str(GENERATOR)],
+            capture_output=True, text=True, cwd=REPO_ROOT, timeout=30
+        )
+        assert result.returncode == 0, (
+            f"Generator failed (code {{result.returncode}})\n"
+            f"STDERR: {{result.stderr[:500]}}"
+        )
+
+    def test_api_md_is_created(self):
+        """docs/API.md must exist after generation."""
+        assert API_MD.exists(), f"Missing output: {API_MD}"
+
+    def test_api_md_is_not_empty(self):
+        """Generate markdown must have substantial content."""
+        content = API_MD.read_text(encoding="utf-8")
+        assert len(content) > 1000, "API.md is suspiciously small"
+
+    def test_api_md_has_expected_structure(self):
+        """Top-level headings and table markers must be present."""
+        content = API_MD.read_text(encoding="utf-8")
+        assert "# Compounding Intelligence — Scripts API Reference" in content
+        assert "## `scripts/" in content
+        assert "| Function | Signature | Description |" in content
+
+    def test_api_md_covers_expected_scripts(self):
+        """At minimum the core scripts should be documented."""
+        content = API_MD.read_text(encoding="utf-8")
+        # Core scripts that must appear
+        core = ["scripts/harvester.py", "scripts/bootstrapper.py",
+                "scripts/session_reader.py", "scripts/dedup.py"]
+        for rel in core:
+            assert f"## `{rel}`" in content, f"Missing section for {rel}"
+
+    def test_api_md_contains_function_names(self):
+        """Spot-check: known public functions from key modules must appear."""
+        content = API_MD.read_text(encoding="utf-8")
+        checks = [
+            ("harvester", "read_session"),
+            ("bootstrapper", "load_index"),
+            ("session_reader", "extract_conversation"),
+            ("dedup", "normalize_text"),
+        ]
+        for module_stem, func_name in checks:
+            assert f"| `{func_name}` |" in content,                 f"Missing function {func_name} from {module_stem}"
+
+
+# ─── Idempotence / --check ─────────────────────────────────────────────────────
+class TestIdempotence:
+    def test_check_flag_passes_when_current(self):
+        """`--check` should exit 0 immediately after generation."""
+        result = subprocess.run(
+            [sys.executable, str(GENERATOR), "--check"],
+            capture_output=True, text=True, cwd=REPO_ROOT, timeout=30
+        )
+        assert result.returncode == 0, (
+            f"--check failed\nSTDOUT: {{result.stdout}}\nSTDERR: {{result.stderr[:200]}}"
+        )
+
+    def test_check_fails_when_api_md_stale(self):
+        """If docs/API.md is manually altered, --check should detect staleness."""
+        # Generate fresh baseline first
+        subprocess.run([sys.executable, str(GENERATOR)], capture_output=True, cwd=REPO_ROOT, timeout=30)
+
+        # Corrupt API.md slightly (append a line at the end)
+        original = API_MD.read_text(encoding="utf-8")
+        corrupted = original + "\n<!-- corrupted -->\n"
+        API_MD.write_text(corrupted, encoding="utf-8")
+
+        # --check should now fail
+        result = subprocess.run(
+            [sys.executable, str(GENERATOR), "--check"],
+            capture_output=True, text=True, cwd=REPO_ROOT, timeout=30
+        )
+        assert result.returncode != 0, "--check should detect stale API.md"
+        assert "out-of-date" in result.stderr.lower() or "out-of-date" in result.stdout.lower()
+
+        # Restore clean state
+        subprocess.run([sys.executable, str(GENERATOR)], capture_output=True, cwd=REPO_ROOT, timeout=30)
+        assert API_MD.read_text(encoding="utf-8") == original
+
+# ─── JSON output ────────────────────────────────────────────────────────────────
+class TestJSONOutput:
+    def test_json_flag_emits_valid_json(self):
+        result = subprocess.run(
+            [sys.executable, str(GENERATOR), "--json"],
+            capture_output=True, text=True, cwd=REPO_ROOT, timeout=30
+        )
+        assert result.returncode == 0
+        import json
+        payload = json.loads(result.stdout)
+        assert "modules" in payload
+        assert len(payload["modules"]) >= 30
+
+    def test_json_has_expected_fields(self):
+        result = subprocess.run(
+            [sys.executable, str(GENERATOR), "--json"],
+            capture_output=True, text=True, cwd=REPO_ROOT, timeout=30
+        )
+        import json
+        payload = json.loads(result.stdout)
+        mod = payload["modules"][0]
+        for key in ("path", "docstring", "functions"):
+            assert key in mod, f"Missing key {{key}} in module payload"
+
+
+if __name__ == "__main__":
+    pytest.main([__file__, "-v"])