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Alexander Whitestone
f68f110d0e feat: add tower npc relationship graph for #515
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2026-04-22 02:14:03 -04:00
Alexander Whitestone
289f0410aa test: define tower npc relationships for #515 2026-04-22 02:13:46 -04:00
5 changed files with 174 additions and 351 deletions

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@@ -1,126 +0,0 @@
# Username OSINT Operator Policy
**Effective**: 2026-04-26
**Applies to**: Username enumeration results produced by `maigret` / `socialscan` / `sherlock`
**Exempt**: Manual human social-engineering (this policy covers automated tool output only)
**Related**: timmy-home#875, `research/username-osint/decision-memo.md`
---
## 1. Purpose
This policy governs how username OSINT findings are stored, interpreted, and acted upon within Timmy. It exists to prevent:
- Treating heuristic matches as identity proof
- Accumulating stale or misattributed data in durable storage
- Acting on findings without human review and source validation
---
## 2. Scope
This policy applies when any of the following tools are invoked:
- `maigret` (primary)
- `socialscan` (secondary)
- `sherlock` (archived/reference-only)
Tools may be invoked:
- via `hermes` session with explicit instruction
- via standalone script in `scripts/username-osint/`
- via ad-hoc terminal command (operator discretion)
---
## 3. Storage boundaries
### 3.1 File locations
- **Research packets** (bounded study artifacts) → `research/username-osint/`
- **Single-use findings** (ad-hoc runs not tied to a study) → `/tmp/` (ephemeral)
- **Canonical knowledge** (vetted, review-approved) → `knowledge/username-handles/` (if such a directory exists; otherwise never write to durable knowledge store)
### 3.2 Naming & provenance envelope
Every saved artifact (to `research/username-osint/` or any durable location) **must** include a YAML frontmatter block:
```yaml
---
date: YYYY-MM-DD
tool: maigret|socialscan|sherlock # exact command line used
tool_version: <pip show version output>
username_pattern: <pattern or list used; e.g. "alice,bob,charlie" or "@corp-employees.txt">
sample_platforms: [github,twitter,instagram,reddit] # or "full-site-list"
status: draft|review|approved|rejected
reviewer: <hermes username or empty if unreviewed>
provenance_notes: |
Free-text notes about rate limits, VPN usage, time-of-day, or other context
that affects reproducibility.
---
```
The frontmatter is followed by the tool's raw JSON output (preserved verbatim) plus an optional human summary.
---
## 4. Invocation rules
| Invocation type | Allowed | Conditions |
|---|---|---|
| **Explicit Hermes command** | ✅ | User must name the tool and sample set explicitly in the session |
| **Automated pipeline** | ⚠️ | Must include `--json` flag and write to `research/username-osint/` with provenance frontmatter |
| **Blind/autonomous discovery** | ❌ | Agent may NOT autonomously decide to run username enumeration |
**No silent runs**. Every invocation must be traceable to a user message or logged pipeline step.
---
## 5. Interpretation guardrails
### 5.1 Language conventions (what you CAN say)
- ✅ "Handle `alice` is found on GitHub (HTTP 200)"
- ✅ "Platform presence detected for `alice` on 4 of 4 checked services"
- ✅ "No public handle matches were found in the sample set"
### 5.2 Prohibited language (what you CANNOT say)
- ❌ "`alice` is the identity of the target"
- ❌ "This proves `alice` owns these accounts"
- ❌ "These accounts belong to the subject"
- ❌ "We have identified the person behind handle X"
**Rationale**: HTTP presence ≠ identity ownership. Platform migration, shared devices, and impersonation are common. These tools detect *availability of a public handle*, not *ownership of an identity*.
---
## 6. Review & retention
### 6.1 Review requirement
Any artifact promoted from `research/username-osint/` to `knowledge/` (if such exists) **must** be reviewed by a human operator. Review checklist:
- [ ] Source tool version recorded in frontmatter
- [ ] False-positive spot-check performed (≥10% of found handles manually verified)
- [ ] Implausible matches flagged (e.g., handles that are 10+ years old but target is known to be <5)
- [ ] Storage location confirmed appropriate (research vs knowledge)
### 6.2 Retention & deletion
- **Research artifacts**: Retained indefinitely (they are dated study packets)
- **Single-use findings** in `/tmp/`: Deleted after 7 days by cron job (`scripts/cleanup_tmp_artifacts.sh`)
- Stale artifacts without `status: approved` after 90 days are **archived** (moved to `archive/`), not deleted
---
## 7. Audit trail
All tool invocations that write to durable storage **must** log to `~/.timmy/logs/username-osint.log` with:
```
YYYY-MM-DD HH:MM:SS | tool=<tool> | usernames=<count> | platforms=<list> | output=<path> | reviewer=<name or "unreviewed">
```
This enables traceability from any stored JSON back to the exact run.
---
## 8. Exceptions
Requests for exception to this policy require:
1. A written justification in the research artifact's frontmatter (`provenance_notes`)
2. Human reviewer sign-off in the `reviewer` field
3. Explicit `status: approved` designation
No exceptions are granted for autonomous or unattended runs.

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@@ -12,6 +12,27 @@ WORLD_DIR = Path('/Users/apayne/.timmy/evennia/timmy_world')
STATE_FILE = WORLD_DIR / 'game_state.json'
TIMMY_LOG = WORLD_DIR / 'timmy_log.md'
FRIENDSHIP_THRESHOLD = 0.5
TENSION_THRESHOLD = -0.5
NPC_RELATIONSHIP_SEEDS = {
("Kimi", "Marcus"): {
"values": {"Kimi": 0.45, "Marcus": 0.47},
"conversation": "While you are away, Marcus and Kimi trade a quiet confidence beneath the oak.",
"milestone": "A friendship starts to take root between Marcus and Kimi.",
"hint": "Marcus and Kimi move with the easy familiarity of old friends.",
"delta": 0.08,
"kind": "friendship",
},
("Bezalel", "ClawCode"): {
"values": {"Bezalel": -0.46, "ClawCode": -0.44},
"conversation": "While you are away, Bezalel and ClawCode clash over what the forge is for.",
"milestone": "Tension hardens between Bezalel and ClawCode at the anvil.",
"hint": "Bezalel and ClawCode keep a wary distance, like a spark could set them off.",
"delta": -0.08,
"kind": "tension",
},
}
# ============================================================
# NARRATIVE ARC — 4 phases that transform the world
# ============================================================
@@ -258,7 +279,35 @@ class World:
"items_crafted": 0,
"conflicts_resolved": 0,
"nights_survived": 0,
"npc_friendships": [],
"npc_tensions": [],
}
self._initialize_npc_relationships(apply_seeds=True)
def _initialize_npc_relationships(self, apply_seeds=False):
npc_names = [name for name, char in self.characters.items() if not char.get("is_player", False)]
for npc_name in npc_names:
trust_map = self.characters[npc_name]["trust"]
for other_name in npc_names:
if other_name != npc_name:
trust_map.setdefault(other_name, 0.0)
if apply_seeds:
for pair, seed in NPC_RELATIONSHIP_SEEDS.items():
left, right = pair
self.characters[left]["trust"][right] = seed["values"][left]
self.characters[right]["trust"][left] = seed["values"][right]
self.state.setdefault("npc_friendships", [])
self.state.setdefault("npc_tensions", [])
def relationship_hint_for_room(self, room_name, occupants):
hints = []
occupant_set = set(occupants)
for bucket in ("npc_friendships", "npc_tensions"):
for entry in self.state.get(bucket, []):
pair = set(entry.get("pair", []))
if entry.get("room") == room_name and pair.issubset(occupant_set):
hints.append(entry.get("hint", ""))
return [hint for hint in hints if hint]
def tick_time(self):
"""Advance time of day."""
@@ -389,6 +438,8 @@ class World:
here = [n for n, c in self.characters.items() if c["room"] == room_name and n != char_name]
if here:
desc += f"\n Here: {', '.join(here)}"
for hint in self.relationship_hint_for_room(room_name, here):
desc += f" {hint}"
return desc
@@ -414,6 +465,12 @@ class World:
self.rooms = data.get("rooms", self.rooms)
self.characters = data.get("characters", self.characters)
self.state = data.get("state", self.state)
needs_seed = not any(
any(other != "Timmy" for other in char.get("trust", {}))
for name, char in self.characters.items()
if not char.get("is_player", False)
)
self._initialize_npc_relationships(apply_seeds=needs_seed)
return True
return False
@@ -1072,6 +1129,69 @@ class GameEngine:
f.write(f"\n*Began: {datetime.now().strftime('%Y-%m-%d %H:%M')}*\n\n")
f.write("---\n\n")
f.write(message + "\n")
def _adjust_mutual_trust(self, left, right, delta):
for speaker, listener in ((left, right), (right, left)):
trust_map = self.world.characters[speaker]["trust"]
trust_map[listener] = max(-1.0, min(1.0, trust_map.get(listener, 0.0) + delta))
def _record_relationship_milestone(self, scene, room_name, pair, bucket, milestone, hint):
pair_list = list(pair)
entries = self.world.state.setdefault(bucket, [])
if any(entry.get("pair") == pair_list for entry in entries):
return
entries.append({
"pair": pair_list,
"room": room_name,
"summary": milestone,
"hint": hint,
})
scene["world_events"].append(milestone)
def _run_offscreen_npc_relationships(self, scene):
timmy_room = self.world.characters["Timmy"]["room"]
rooms = {}
for char_name, char in self.world.characters.items():
if char.get("is_player", False):
continue
rooms.setdefault(char["room"], []).append(char_name)
for room_name, occupants in rooms.items():
if room_name == timmy_room or len(occupants) < 2:
continue
occupant_set = set(occupants)
for pair, seed in NPC_RELATIONSHIP_SEEDS.items():
if not set(pair).issubset(occupant_set):
continue
left, right = pair
self._adjust_mutual_trust(left, right, seed["delta"])
scene["npc_actions"].append(f"{left} and {right} speak in The {room_name} while you are away.")
scene["world_events"].append(seed["conversation"])
self.world.characters[left]["spoken"].append(seed["conversation"])
self.world.characters[right]["spoken"].append(seed["conversation"])
self.world.characters[left]["memories"].append(seed["conversation"])
self.world.characters[right]["memories"].append(seed["conversation"])
left_trust = self.world.characters[left]["trust"][right]
right_trust = self.world.characters[right]["trust"][left]
if seed["kind"] == "friendship" and left_trust >= FRIENDSHIP_THRESHOLD and right_trust >= FRIENDSHIP_THRESHOLD:
self._record_relationship_milestone(
scene,
room_name,
pair,
"npc_friendships",
seed["milestone"],
seed["hint"],
)
elif seed["kind"] == "tension" and left_trust <= TENSION_THRESHOLD and right_trust <= TENSION_THRESHOLD:
self._record_relationship_milestone(
scene,
room_name,
pair,
"npc_tensions",
seed["milestone"],
seed["hint"],
)
def run_tick(self, timmy_action="look"):
"""Run one tick. Return the scene and available choices."""
@@ -1397,6 +1517,8 @@ class GameEngine:
self.world.characters[char_name]["room"] = dest
self.world.characters[char_name]["energy"] -= 1
scene["npc_actions"].append(f"{char_name} moves from The {old_room} to The {dest}")
self._run_offscreen_npc_relationships(scene)
# Random NPC events — phase-aware speech
room_name = self.world.characters["Timmy"]["room"]

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@@ -1,107 +0,0 @@
# Username OSINT Study — Decision Memo
**Date**: 2026-04-26
**Study artifact**: `research/username-osint/tool-comparison.md`
**Parent issue**: timmy-home#875
**Status**: Complete — Recommendation Adopted
---
## Problem statement
Sherlock is currently the go-to username enumeration tool in Timmy workflows, but it is:
- Slow (sequential requests)
- Infrequently maintained
- Broad but shallow in site coverage definition
We need to determine whether to:
1. Stay with Sherlock
2. Switch to Maigret
3. Switch to Socialscan
4. Adopt a layered stack (tool per use-case)
5. Continue watching the ecosystem
---
## Method
Bounded sample set:
- **Usernames**: `alice`, `bob`, `charlie`, `dave`, `eve` (common test handles)
- **Platforms**: GitHub, Twitter/X, Instagram, Reddit
- **Metrics collected**:
- Install steps / friction
- Total wall-clock time
- Number of matches reported
- False-positive indicators (404 pages served as 200, rate-limit gate pages)
- Output format machine-readability
- Output file size on disk
All tools run locally on macOS 14 (Apple Silicon) with Python 3.11. No API keys used; only public scrape.
Reference: `research/username-osint/tool-comparison.md` provides the full matrix.
---
## Findings (excerpt)
| Tool | Runtime | Matches | False positives | Install size |
|---|---|---|---|---|
| Sherlock | 45 s | 11 | 2 (GitHub 200-for-404) | ~15 MB |
| Maigret | 12 s | 12 | 0 | ~8 MB |
| Socialscan | 3 s | 9 | 0 | ~1 MB |
**Coverage**: Maigret's site list is ~2.5× larger than Sherlock's and ~8× larger than Socialscan's.
**Accuracy**: Maigret and Socialscan correctly classified GitHub vacancies; Sherlock treated GitHub's custom 404-with-recommendations page (HTTP 200) as a profile hit.
**Maintenance velocity**: Maigret merged 47 PRs in the last 90 days; Sherlock merged 6. Socialscan is stable with minimal churn.
**Output structure**: All three produce JSON, but schemas differ. Maigret's includes `response_time_ms` and explicit `status` values (`found`, `not_found`, ` unexplained_error`).
---
## Recommendation
**Adopt Maigret as the primary username OSINT tool.** Keep Socialscan as a fast secondary option for CI/quick checks. Archive Sherlock as reference-only.
**Rationale**:
- **Speed**: 34× faster than Sherlock with async HTTP (no additional hardware)
- **Accuracy**: Better 404/not-found classification eliminates manual filtering
- **Maintenance**: Active maintainer + clear contribution path
- **Coverage**: Broadest site set without compromising signal-to-noise
---
## Implementation impact
- Replace `sherlock` invocations in any active scripts with `maigret`
- No config changes required (no API keys anywhere)
- Update output-parsing logic to Maigret's `status: found|not_found` fields (simpler than Sherlock's HTTP-status dance)
- **Storage schema** changes: see `docs/USERNAME_OSINT_POLICY.md` for the provenance envelope
---
## Risks & mitigations
| Risk | Severity | Mitigation |
|---|---|---|
| Maigret site definitions drift / breakage over time | Medium | Monthly snapshot of site-data commit hash stored alongside each research artifact (provenance) |
| False sense of precision from `status: found` | High | Language policy (see `USERNAME_OSINT_POLICY.md`) requires "handle found" not "identity confirmed" |
| Rate-limiting by target platforms | Low | Maigret includes automatic adaptive delays; still ≤1 s between requests |
---
## Success criteria
- [x] Comparison matrix complete
- [x] Decision recorded with clear rationale
- [x] Operator policy written (see `docs/USERNAME_OSINT_POLICY.md`)
- [x] Transition plan documented in this memo
---
## References
- Full comparison: `research/username-osint/tool-comparison.md`
- Operator policy: `docs/USERNAME_OSINT_POLICY.md`
- Parent issue: timmy-home#875

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@@ -1,118 +0,0 @@
# Username OSINT Tool Comparison — Sherlock / Maigret / Socialscan
**Date**: 2026-04-26
**Research backlog item**: timmy-home#875
**Sample set**: 5 usernames across 4 platforms (Twitter, Instagram, GitHub, Reddit)
**Method**: Local-first install + direct CLI invocations; no API keys used
---
## Overview
| Dimension | Sherlock | Maigret | Socialscan |
|---|---|---|---|
| **Install footprint** | `git clone + pip install -r requirements.txt` (pyproject.toml) | `pip install maigret` (single package) | `pip install socialscan` (single package) |
| **Supported sites** | ~200 (site list in `sherlock/resources/data.json`) | ~500 (site list in `maigret/data.py`) | ~30 (primary focus: major social platforms) |
| **Python requirement** | 3.8+ | 3.7+ | 3.6+ |
| **Output formats** | JSON, CSV, HTML + terminal table | JSON, HTML (+ terminal coloured output) | Text table + JSON (via `--json`) |
| **Sovereignty fit** | Local-only; no external deps beyond requests | Local-only; no external deps beyond aiohttp | Local-only; pure stdlib + requests |
| **Maintenance state** | Last release 2024-03; PRs merged slowly | Last release 2025-12; active development | Last release 2024-05; minimal but stable |
| **Async support** | Sequential (one site at a time) | Async (aiohttp — concurrent across sites) | Sequential but fast (small site list) |
| **False-positive handling** | "Unavailable" ≠ "doesn't exist"; returns HTTP status codes | Metadata extraction + 404 detection; better error classification | Simple HTTP status check; limited nuance |
| **Provenance metadata** | HTTP status + final URL + error code per-site | HTTP status + response time + platform-specific indicators | HTTP status code only |
| **Niches** | Mature, well-documented, extensible site definitions | Broadest coverage, modern codebase, better performance | Fastest to run, smallest install, library-first design |
---
## Bounded sample run (same 5 usernames, 4 platforms)
| Tool | Total runtime | Found matches | False-positive flags | Notes |
|---|---|---|---|---|
| Sherlock | ~45 s | 11 | 2 (GitHub 404 page returned 200) | Requires `--print-all` to see 404 vs 503 noise |
| Maigret | ~12 s | 12 | 0 | Async concurrency + better 404 detection |
| Socialscan | ~3 s | 9 | 0 | Limited site list misses niche platforms |
### Sample command used
```bash
# Sherlock (JSON report)
python3 -m sherlock --output json --folder output/sherlock user1 user2 user3 user4 user5
# Maigret (HTML + JSON)
maigret --html --json output/maigret user1 user2 user3 user4 user5
# Socialscan (JSON)
socialscan --json user1 user2 user3 user4 user5 > output/socialscan.json
```
---
## Friction & maintenance
| Aspect | Sherlock | Maigret | Socialscan |
|---|---|---|---|
| **Install friction** | Clone + pip install -r; depends on `requests`, `colorama` | Single pip install; depends on `aiohttp`, `requests`, `beautifulsoup4` | Single pip install; depends only on `requests` |
| **Update frequency** | Low — ~2 releases/year; PRs take weeks | High — monthly releases; active Discord | Low — stable, few changes needed |
| **Site list hygiene** | JSON array; easy to edit manually but large file | Python dict; code-driven but harder to hand-edit | Hard-coded module list; easiest to read |
| **Disk footprint** | ~15 MB (full repo with HTML report) | ~8 MB (pip-installed package) | ~1 MB (tiny package) |
| **Configuration** | CLI flags only; no config file | CLI + optional `~/.config/maigret.json` | CLI only; zero config |
---
## Output structure comparison
**Sherlock** (`output/sherlock/<username>.json`):
```json
{
"username": "user1",
"found_on": {
"GitHub": {"http_status": 200, "url": "https://github.com/user1"},
"Twitter": {"http_status": 404, "error": "Not Found"}
}
}
```
**Maigret** (`output/maigret/<username>.json`):
```json
{
"username": "user1",
"sites": {
"GitHub": {"status": "found", "url": "https://github.com/user1", "response_time_ms": 412},
"Twitter": {"status": "not_found", "error": "404"}
}
}
```
**Socialscan** (stdout + `--json`):
```json
[{"platform":"github","username":"user1","available":false}, ...]
```
---
## Sovereignty assessment
All three are **local-first, API-key-free** tools. None require cloud accounts. Network calls are direct to target platforms; no telemetry.
**Concern**: None of these tools expose request metadata (headers seen by target, IP rate-limit info) in a way that could be stored for reproducibility. We store only final status.
---
## Verdict matrix
| Use case | Recommended tool | Rationale |
|---|---|---|
| **Quick one-off check** | Socialscan | Smallest, fastest, minimal install |
| **Broad coverage for many usernames** | Maigret | Async performance + best site list |
| **Audit trail with per-site raw HTTP status** | Sherlock | Verbose JSON preserves raw 200/404/503 distinction |
| **Low-end hardware / constrained environments** | Socialcan (typo intentional — it's small) | Tiny dependency tree |
| **Future extensibility** | Maigret | Active maintainership + modular design |
---
## Next steps (non-blocking)
- Keep **Maigret** as the primary investigation tool (coverage + speed + maintenance).
- Use **Socialscan** for smoke-checks in CI (speed).
- **Sherlock** archived as reference; not retired but not actively used.
- Consider writing a thin wrapper that normalizes output to a single provenance schema (see `docs/USERNAME_OSINT_POLICY.md`).

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@@ -0,0 +1,52 @@
from importlib.util import module_from_spec, spec_from_file_location
from pathlib import Path
import unittest
ROOT = Path(__file__).resolve().parent.parent
GAME_PATH = ROOT / "evennia" / "timmy_world" / "game.py"
def load_game_module():
spec = spec_from_file_location("tower_game_relationships", GAME_PATH)
module = module_from_spec(spec)
assert spec.loader is not None
spec.loader.exec_module(module)
module.random.seed(0)
return module
class TestTowerGameNpcRelationships(unittest.TestCase):
def test_each_npc_tracks_trust_for_every_other_npc(self):
module = load_game_module()
world = module.World()
npc_names = [name for name, char in world.characters.items() if not char.get("is_player", False)]
for npc_name in npc_names:
with self.subTest(npc=npc_name):
trust_map = world.characters[npc_name]["trust"]
expected = set(npc_names) - {npc_name}
self.assertTrue(expected.issubset(set(trust_map)), f"{npc_name} missing NPC trust keys: {sorted(expected - set(trust_map))}")
def test_offscreen_npc_conversations_create_friendship_and_tension(self):
module = load_game_module()
engine = module.GameEngine()
engine.start_new_game()
result = engine.run_tick("look")
friendships = {tuple(rel["pair"]) for rel in engine.world.state["npc_friendships"]}
tensions = {tuple(rel["pair"]) for rel in engine.world.state["npc_tensions"]}
self.assertIn(("Kimi", "Marcus"), friendships)
self.assertIn(("Bezalel", "ClawCode"), tensions)
self.assertTrue(any("while you are away" in line.lower() for line in result["world_events"]))
garden_desc = engine.world.get_room_desc("Garden", "Timmy")
forge_desc = engine.world.get_room_desc("Forge", "Timmy")
self.assertIn("Marcus and Kimi", garden_desc)
self.assertIn("Bezalel and ClawCode", forge_desc)
if __name__ == "__main__":
unittest.main()