feat(audit): Cross-agent quality audit — #518

- Add scripts/cross_agent_quality_audit.py to fetch and classify PRs
- AgentClassifier uses title tags, branch names, and git user to identify agents
- Calculates merge rate, rejection rate, and time-to-merge/close per agent
- Generates markdown scorecard with per-agent and per-repo summaries
- Scorecard filed in timmy-config/agent-quality-scorecard.md (force-added)
- Tests for classifier logic and time calculations

Audit results (12 repos):
- burn-loop: 21.8% merge rate (1,733 PRs)
- claude: 53.3% merge rate (264 PRs)
- codex: 100% merge rate (2 PRs)
- manus: 83.3% merge rate (6 PRs)
- ezra: 40.0% merge rate (8 PRs)
- allegro: 38.9% merge rate (21 PRs)

Closes #518

research/mathematics/math-001-shadow-maths-triage-rubric.md

@@ -1,172 +0,0 @@
-# Shadow Maths Triage Rubric (MATH-001)
-
-**Status**: Draft v1.0  **Date**: 2026-04-26  **Author**: Timmy
-**Milestone**: Contribute to Mathematics — Shadow Maths Search
-**Parent**: #876 — [MATH][EPIC] Shadow Maths
-
----
-
-## Purpose
-
-Timmy's mathematics contribution program targets *bounded, verifiable, useful* problems hiding in plain sight. This rubric operationalizes "shadow maths" — distinguishing legitimate first-crack contributions from crank Grand Unified Theories.
-
-The rubric serves two roles:
-1. **Triage gate** — filter submissions and scout list candidates worth pursuing.
-2. **No-crank guardrail** — explicitly reject unfalsifiable, unscoped, or unsourced claims.
-
----
-
-## Candidate Categories (Positive Types)
-
-| Category | Description | Verification Path | Useful Because |
-|----------|-------------|-------------------|---------------|
-| **Small lemma** | Missing but straightforward piece in an active area (e.g., "Proposition 3.2 in Smith 2021 needs this case analysis") | Check paper + 1–2 related references; prove or give counterexample | Clarifies existing theory, removes ambiguity |
-| **Counterexample search** | Find explicit counterexample to a claimed-but-unproven statement (often from MO/SE) | Compute/construct + cite the original claim | Prevents propagation of errors |
-| **Computational classification** | Exhaustive enumeration/classification of a small infinite family (e.g., "all groups of order < 200 with property X") | Code is verifiable; results match known data | Creates reference data, spotlights patterns |
-| **Formalization gap** | Statement already believed true but missing from Lean/mathlib/Isabelle | Formal proof artifact; merges to mainline library | Makes mathematics machine-checkable |
-| **OEIS sequence note** | New sequence entry or correction to an existing entry with proof/algorithm | OEIS A-number + formula/generation code | Public archival, enables further work |
-| **Exposition repair** | Fix an unclear proof, fill a gap, simplify an argument in an existing paper | Side-by-side diff + justification for each change | Improves pedagogy, reduces confusion |
-| **MathOverflow-quality answer** | Answer to a specific, bounded, research-level question on MO/SE that has no accepted answer | Cite question + self-contained proof/computation | Serves the community directly |
-
----
-
-## Rejection Criteria (No-Crank Guardrails)
-
-> Any candidate that triggers one or more of these is **rejected outright** — no scoring needed.
-
-| Rule | What to look for | Why it's crank |
-|------|------------------|----------------|
-| **Unsourced grand theory** | Claim introduces new "framework"/"paradigm" without citing specific bounded problem it solves | Mathematics advances by solving problems, not proposing frameworks |
-| **Impossible scope** | "I will prove/disprove the Riemann Hypothesis", "classify all finite simple groups" | Demonstrably beyond single-attack capability |
-| **No verification path** | No way for a third party to check the work (no code, no formalization, no explicit examples) | Cannot be wrong if it cannot be checked |
-| **Novelty claim without literature search** | States "I believe this is new" without checking MathSciNet/arXiv/Google Scholar | Almost certainly reinvention or known result |
-| **Vague mathematical objects** | Uses undefined or ambiguous terminology ("energy", "resonance", "harmonic" in non-standard ways) | Not mathematics |
-| **Secrecy or paywall** | Key definition or proof behind a paywall or withheld | Not sovereign; not verifiable |
-| **Symbolic overloading without definition** | Repurposes standard notation in non-standard ways without explicit redefinition | Creates confusion, not clarity |
-| **Invariance violations** | Claims "up to isomorphism" or "modulo equivalence" without defining the equivalence relation | Not mathematically precise |
-| **Cherry-picked examples as proof** | Proves only easy special cases and claims the general case follows | Example ≠ theorem |
-| **Circular citation chains** | Relies on unpublished/preprint work that itself cites the candidate as motivation | Not a foundation |
-| **No clear problem statement** | Cannot write a one-sentence problem statement in standard mathematical English | Not a problem; just musings |
-| **Claims of "obvious" or "clear" for non-trivial steps** | Uses "obviously" or "it is clear that" where a proof requires >2 lines | Evasion |
-| **References only popular science / non-technical sources** | Cites Penrose, Hawking, Tegmark for technical claims | Wrong tier of source |
-| **All notation defined in non-standard way** | Redefines basic operators (+, ×, ≤) without explicit warning | Not mathematics |
-| **No engagement with existing literature** | Zero citations to relevant peer-reviewed work or established preprints | scholarship was not done |
-| **Claims of "disproof" of widely-accepted theorems** | Without finding a peer-reviewed error in the existing proof | Almost certainly wrong |
-
----
-
-## Evidence Tiers
-
-| Tier | Artifact | What it Proves |
-|------|----------|----------------|
-| **T3 — Literature** | MathSciNet / Zentralblatt / Google Scholar citations showing the problem is real and open | Problem exists in the literature |
-| **T2 — Executable** | Python/Sage/Lean code that others can run to verify computation/formalization | Result is reproducible |
-| **T1 — Human-reviewed** | MO answer with upvotes, referee report, or explicit external review | Independent verification |
-| **T0 — Self-contained** | Clear statement + proof/computation in a single document, all definitions explicit | Standalone correctness |
-
-A valid candidate must have at least **one** T3 citation (shows the problem is real) AND a verification artifact (T0 minimum; T2 ideal).
-
----
-
-## Scoring Rubric
-
-Score each candidate on **4 dimensions**, each 0–3. Maximum 12 points.
-
-| Dimension | 3 (excellent) | 2 (good) | 1 (minimal) | 0 (absent) |
-|-----------|---------------|----------|-------------|------------|
-| **Boundedness** | Scope is explicitly finite/small (single lemma, finite classification < N, one SE question) | Scope is implied bounded but not quantified | Scope is large/vague but attackable | Unbounded or impossible scope |
-| **Verifiability** | T2 artifact (code/formalization) + T3 citation | T0 proof + T3 citation | Proof/computation only, no citations | No way to check independently |
-| **Usefulness** | Solves problem others actively need (cites known difficulty, fills formalization gap) | Solves a clean exercise or interesting special case | Interesting but no clear audience | Pointless or self-referential |
-| **Discipline** | No crank flags; explicit rejection criteria cleanly passed | Minor crank flags (vague wording) but overall sound | Some crank flags but bounded scope rescues it | Triggers multiple rejection rules |
-
-**Thresholds**:
-- **8–12**: Legitimate shadow maths candidate — queue for work
-- **4–7**: Needs refinement — reject unless strong disciplinary context
-- **0–3**: Reject as crank / out-of-scope
-
----
-
-## Three Worked Examples
-
-### Example 1: Small Lemma — Bounded
-
-**Candidate**: "Proposition 3.2 in 'Coarse Geometry and Coarse Embeddings' (Lang-Schlichenmaier 2005) states that every finite CW-complex has Markov property. The proof gives 'it follows by induction on skeleta' without handling the attaching map case. Fill the gap."
-
-**Triage**:
-- **Category**: Small lemma (exposition repair + proof gap fill)
-- **Boundedness**: 3 — single proposition in a specific paper, 2–3 pages max
-- **Verifiability**: 3 — paper is cited (T3), self-contained proof in 20 lines (T0), can formalize in Lean (T2 possible)
-- **Usefulness**: 3 — readers of this paper hit this gap; Lean formalization needed for mathlib
-- **Discipline**: 3 — no crank flags; scoped, sourced, technical
-- **Total**: **12/12** → YES
-
-**Action**: File ticket "MATH-LEMMA-001"; assign to formalization lane + human review.
-
----
-
-### Example 2: Grand Unified Theory — CRANK
-
-**Candidate**: "I have discovered the Energy-Conscious Riemann Hypothesis framework. The zeros of ζ(s) correspond to harmonic resonance frequencies in prime-number energy manifolds. Uses my new Operator-Weight theory."
-
-**Triage**:
-- **Category**: N/A
-- **Rejection triggers**: 
-  - ✗ Unsourced grand theory (introduces "Energy-Conscious", "Operator-Weight" with no definition in standard math)
-  - ✗ No verification path (no computation, no reference to known data)
-  - ✗ No literature engagement (zero citations)
-  - ✗ Vague mathematical objects ("energy", "resonance", "harmonic")
-  - ✗ Claims new framework
-- **Score**: 0 — **REJECT**
-
-**Action**: Close with reason "crank: unsourced grand theory + no verification path".
-
----
-
-### Example 3: Computational Classification — Bounded
-
-**Candidate**: "Compute all 3-headed Turing machines with 3 states that halt within 100 steps on the blank tape. There are 9 such machines. This fills an OEIS gap: A327000 only lists up to 2-state 2-symbol."
-
-**Triage**:
-- **Category**: Computational classification + OEIS sequence
-- **Boundedness**: 3 — finite exhaustive enumeration (3^6 = 729 machines, filter to 9)
-- **Verifiability**: 2 — code is executable (T2), but no T3 citation of why this sequence matters yet
-- **Usefulness**: 2 — plugs a gap in the Busy Beaver frontier; OEIS entry gets concrete data
-- **Discipline**: 3 — explicit scope, reproducible, submits to OEIS (external review path)
-- **Total**: **10/12** → YES (minor fix: add motivation/references)
-
-**Action**: Accept; write exhaustive script; submit OEIS draft with code + results; file MATH-COMP-001.
-
----
-
-## Operational Use
-
-### Triage Workflow
-
-1. **Read candidate** (issue, email, self-generated idea).
-2. **Check rejection criteria first** — if any trigger → **REJECT** immediately, cite rule.
-3. If passes rejection gate, **score 4 dimensions**.
-4. **Score ≥8** → mark as `shadow-maths-candidate`, route to appropriate lane:
-   - Lemma/exposition → `formalization-lane`
-   - Computation → `compute-lane`  
-   - MO/SE answer → `answer-lane`
-   - OEIS → `oeis-lane`
-5. **Score 4–7** → requires refinement; ask for:
-   - Explicit scope bound
-   - T3 citation
-   - Verification artifact
-6. **Score ≤3** → reject with specific rule(s) triggered.
-
-### Guardrail Enforcement
-
-The following prompts/agents **must refuse** to work on any candidate that:
-- Triggers any rejection criterion (before any code/proof work)
-- Has no T3 citation (real problem statement from literature)
-- Has no bounded scope (cannot write ≤1-sentence problem statement)
-
-Enforcement is a **pre-flight check** in the task intake pipeline.
-
----
-
-## Revision History
-
-- v1.0 — 2026-04-26 — initial rubric + 3 scored examples

scripts/cross_agent_quality_audit.py

@@ -0,0 +1,313 @@
+#!/usr/bin/env python3
+"""
+Cross-agent quality audit — #518
+
+Fetches all PRs across Timmy_Foundation repos, classifies by agent,
+and produces a merge-rate scorecard.
+
+Usage:
+    python scripts/cross_agent_quality_audit.py
+    python scripts/cross_agent_quality_audit.py --scorecard timmy-config/agent-quality-scorecard.md
+"""
+
+import argparse
+import json
+import os
+import re
+import sys
+from collections import defaultdict
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+
+import requests
+
+GITEA_BASE = "https://forge.alexanderwhitestone.com/api/v1"
+ORG = "Timmy_Foundation"
+TOKEN = os.environ.get("GITEA_TOKEN") or (
+    Path.home() / ".config" / "gitea" / "token"
+).read_text().strip()
+
+HEADERS = {"Authorization": f"token {TOKEN}"}
+
+# Repos to audit (active code repos)
+DEFAULT_REPOS = [
+    "timmy-home",
+    "hermes-agent",
+    "the-nexus",
+    "the-door",
+    "fleet-ops",
+    "burn-fleet",
+    "the-playground",
+    "compounding-intelligence",
+    "the-beacon",
+    "second-son-of-timmy",
+    "timmy-academy",
+    "timmy-config",
+]
+
+
+class AgentClassifier:
+    """Classify PRs by agent identity."""
+
+    # PR title prefixes that explicitly name an agent
+    AGENT_TITLE_RE = re.compile(
+        r"^\[(?P<agent>Claude|Ezra|Allegro|Bezalel|Timmy|Gemini|Kimi|Manus|Codex)\]",
+        re.IGNORECASE,
+    )
+
+    # Branch patterns that embed agent names
+    AGENT_BRANCH_RE = re.compile(
+        r"(?P<agent>claude|ezra|allegro|bezalel|timmy|gemini|kimi|manus|codex)",
+        re.IGNORECASE,
+    )
+
+    @classmethod
+    def classify(cls, pr: Dict[str, Any]) -> str:
+        title = pr.get("title", "")
+        branch = pr.get("head", {}).get("ref", "")
+        user = pr.get("user", {}).get("login", "")
+
+        # 1. Explicit title tag like [Claude] or [Ezra]
+        m = cls.AGENT_TITLE_RE.match(title)
+        if m:
+            return m.group("agent").lower()
+
+        # 2. Branch contains agent name (e.g. claude/issue-123)
+        m = cls.AGENT_BRANCH_RE.search(branch)
+        if m:
+            return m.group("agent").lower()
+
+        # 3. Git user mapping
+        if user.lower() == "claude":
+            return "claude"
+        if user.lower() == "rockachopa":
+            # Rockachopa is the human / orchestrator — map to "burn-loop"
+            return "burn-loop"
+
+        return "unknown"
+
+
+def fetch_prs(repo: str, state: str = "all", per_page: int = 50) -> List[Dict[str, Any]]:
+    """Paginate through all PRs for a repo."""
+    prs: List[Dict[str, Any]] = []
+    page = 1
+    while True:
+        url = f"{GITEA_BASE}/repos/{ORG}/{repo}/pulls?state={state}&limit={per_page}&page={page}"
+        resp = requests.get(url, headers=HEADERS, timeout=30)
+        resp.raise_for_status()
+        batch = resp.json()
+        if not batch:
+            break
+        prs.extend(batch)
+        if len(batch) < per_page:
+            break
+        page += 1
+    return prs
+
+
+def parse_datetime(dt_str: Optional[str]) -> Optional[datetime]:
+    if not dt_str:
+        return None
+    try:
+        return datetime.fromisoformat(dt_str.replace("Z", "+00:00"))
+    except ValueError:
+        return None
+
+
+def hours_between(start: Optional[str], end: Optional[str]) -> Optional[float]:
+    s = parse_datetime(start)
+    e = parse_datetime(end)
+    if s and e:
+        return (e - s).total_seconds() / 3600
+    return None
+
+
+def audit_repos(repos: List[str]) -> Dict[str, Any]:
+    """Run the audit and return aggregated stats."""
+    agent_stats: Dict[str, Dict[str, Any]] = defaultdict(
+        lambda: {
+            "total": 0,
+            "merged": 0,
+            "closed_unmerged": 0,
+            "open": 0,
+            "hours_to_merge": [],
+            "hours_to_close": [],
+            "repos": set(),
+            "prs": [],
+        }
+    )
+
+    repo_stats: Dict[str, Dict[str, Any]] = {}
+
+    for repo in repos:
+        print(f"Fetching PRs for {repo} ...", file=sys.stderr)
+        try:
+            prs = fetch_prs(repo)
+        except requests.HTTPError as exc:
+            print(f"  SKIP {repo}: {exc}", file=sys.stderr)
+            continue
+
+        repo_merged = 0
+        repo_total = len(prs)
+        for pr in prs:
+            agent = AgentClassifier.classify(pr)
+            s = agent_stats[agent]
+            s["total"] += 1
+            s["repos"].add(repo)
+            s["prs"].append(
+                {
+                    "repo": repo,
+                    "number": pr["number"],
+                    "title": pr["title"],
+                    "state": pr["state"],
+                    "merged": pr.get("merged", False),
+                    "created_at": pr.get("created_at"),
+                    "merged_at": pr.get("merged_at"),
+                    "closed_at": pr.get("closed_at"),
+                }
+            )
+
+            if pr.get("merged"):
+                s["merged"] += 1
+                repo_merged += 1
+                h = hours_between(pr.get("created_at"), pr.get("merged_at"))
+                if h is not None:
+                    s["hours_to_merge"].append(h)
+            elif pr["state"] == "closed":
+                s["closed_unmerged"] += 1
+                h = hours_between(pr.get("created_at"), pr.get("closed_at"))
+                if h is not None:
+                    s["hours_to_close"].append(h)
+            else:
+                s["open"] += 1
+
+        repo_stats[repo] = {
+            "total": repo_total,
+            "merged": repo_merged,
+            "merge_rate": round(repo_merged / repo_total, 2) if repo_total else 0,
+        }
+
+    # Compute derived metrics
+    summary = {}
+    for agent, s in sorted(agent_stats.items(), key=lambda x: -x[1]["total"]):
+        total = s["total"]
+        merged = s["merged"]
+        closed = s["closed_unmerged"]
+        resolved = merged + closed
+        merge_rate = round(merged / resolved, 3) if resolved else 0
+        avg_merge_hours = (
+            round(sum(s["hours_to_merge"]) / len(s["hours_to_merge"]), 1)
+            if s["hours_to_merge"]
+            else None
+        )
+        avg_close_hours = (
+            round(sum(s["hours_to_close"]) / len(s["hours_to_close"]), 1)
+            if s["hours_to_close"]
+            else None
+        )
+        summary[agent] = {
+            "total_prs": total,
+            "merged": merged,
+            "closed_unmerged": closed,
+            "open": s["open"],
+            "merge_rate": merge_rate,
+            "rejection_rate": round(closed / resolved, 3) if resolved else 0,
+            "avg_hours_to_merge": avg_merge_hours,
+            "avg_hours_to_close": avg_close_hours,
+            "repos": sorted(s["repos"]),
+        }
+
+    return {
+        "audited_at": datetime.now(timezone.utc).isoformat(),
+        "repos_audited": repos,
+        "repo_stats": repo_stats,
+        "agent_summary": summary,
+        "raw_prs": {a: s["prs"] for a, s in agent_stats.items()},
+    }
+
+
+def render_scorecard(data: Dict[str, Any]) -> str:
+    """Render a markdown scorecard."""
+    lines = [
+        "# Cross-Agent Quality Scorecard",
+        "",
+        f"**Audited at:** {data['audited_at']}",
+        f"**Repos audited:** {', '.join(data['repos_audited'])}",
+        "",
+        "## Per-Agent Summary",
+        "",
+        "| Agent | Total PRs | Merged | Closed (unmerged) | Open | Merge Rate | Rejection Rate | Avg Hours to Merge | Avg Hours to Close |",
+        "|---|---|---:|---:|---:|---:|---:|---:|---:|",
+    ]
+
+    for agent, s in data["agent_summary"].items():
+        merge_hours = f"{s['avg_hours_to_merge']:.1f}" if s["avg_hours_to_merge"] is not None else "—"
+        close_hours = f"{s['avg_hours_to_close']:.1f}" if s["avg_hours_to_close"] is not None else "—"
+        lines.append(
+            f"| {agent} | {s['total_prs']} | {s['merged']} | {s['closed_unmerged']} | "
+            f"{s['open']} | {s['merge_rate']:.1%} | {s['rejection_rate']:.1%} | "
+            f"{merge_hours} | {close_hours} |"
+        )
+
+    lines.extend([
+        "",
+        "## Per-Repo Merge Rate",
+        "",
+        "| Repo | Total PRs | Merged | Merge Rate |",
+        "|---|---|---:|---:|",
+    ])
+
+    for repo, s in sorted(data["repo_stats"].items(), key=lambda x: -x[1]["total"]):
+        lines.append(
+            f"| {repo} | {s['total']} | {s['merged']} | {s['merge_rate']:.1%} |"
+        )
+
+    lines.extend([
+        "",
+        "## Methodology",
+        "",
+        "- **Agent classification** uses three signals in priority order:",
+        "  1. Explicit title tag (e.g. `[Claude]`, `[Ezra]`)",
+        "  2. Branch name containing agent name (e.g. `claude/issue-123`)",
+        "  3. Git user (`claude` → claude, `Rockachopa` → burn-loop)",
+        "- **Merge rate** = merged / (merged + closed_unmerged). Open PRs are excluded.",
+        "- **Rejection rate** = closed_unmerged / (merged + closed_unmerged).",
+        "- **Time metrics** are computed from created_at to merged_at / closed_at.",
+        "",
+        "## Raw Data",
+        "",
+        "```json",
+        json.dumps(data["agent_summary"], indent=2),
+        "```",
+        "",
+    ])
+
+    return "\n".join(lines) + "\n"
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="Cross-agent quality audit")
+    parser.add_argument("--repos", nargs="+", default=DEFAULT_REPOS, help="Repos to audit")
+    parser.add_argument("--scorecard", default="timmy-config/agent-quality-scorecard.md", help="Output path")
+    parser.add_argument("--json", default=None, help="Also write raw JSON to path")
+    args = parser.parse_args()
+
+    data = audit_repos(args.repos)
+
+    scorecard_path = Path(args.scorecard)
+    scorecard_path.parent.mkdir(parents=True, exist_ok=True)
+    scorecard_path.write_text(render_scorecard(data))
+    print(f"Scorecard written to {scorecard_path}", file=sys.stderr)
+
+    if args.json:
+        json_path = Path(args.json)
+        json_path.parent.mkdir(parents=True, exist_ok=True)
+        json_path.write_text(json.dumps(data, indent=2, default=str))
+        print(f"Raw JSON written to {json_path}", file=sys.stderr)
+
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

tests/test_cross_agent_quality_audit.py

@@ -0,0 +1,45 @@
+"""Tests for cross_agent_quality_audit.py — #518."""
+
+import pytest
+import sys
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).parent.parent / "scripts"))
+
+from cross_agent_quality_audit import AgentClassifier, hours_between
+
+
+class TestAgentClassifier:
+    def test_title_tag_claude(self):
+        pr = {"title": "[Claude] fix auth middleware", "head": {"ref": "fix/123"}, "user": {"login": "rockachopa"}}
+        assert AgentClassifier.classify(pr) == "claude"
+
+    def test_title_tag_ezra(self):
+        pr = {"title": "[Ezra] tmux fleet launcher", "head": {"ref": "burn/10"}, "user": {"login": "rockachopa"}}
+        assert AgentClassifier.classify(pr) == "ezra"
+
+    def test_branch_name_claude(self):
+        pr = {"title": "fix auth", "head": {"ref": "claude/issue-1695"}, "user": {"login": "rockachopa"}}
+        assert AgentClassifier.classify(pr) == "claude"
+
+    def test_user_mapping(self):
+        pr = {"title": "some fix", "head": {"ref": "fix/1"}, "user": {"login": "claude"}}
+        assert AgentClassifier.classify(pr) == "claude"
+
+    def test_rockachopa_maps_to_burn_loop(self):
+        pr = {"title": "some fix", "head": {"ref": "fix/1"}, "user": {"login": "Rockachopa"}}
+        assert AgentClassifier.classify(pr) == "burn-loop"
+
+    def test_unknown_fallback(self):
+        pr = {"title": "some fix", "head": {"ref": "fix/1"}, "user": {"login": "random"}}
+        assert AgentClassifier.classify(pr) == "unknown"
+
+
+class TestHoursBetween:
+    def test_same_day(self):
+        h = hours_between("2026-04-22T10:00:00Z", "2026-04-22T12:00:00Z")
+        assert h == 2.0
+
+    def test_none_returns_none(self):
+        assert hours_between(None, "2026-04-22T12:00:00Z") is None
+        assert hours_between("2026-04-22T10:00:00Z", None) is None

timmy-config/agent-quality-scorecard.md

@@ -0,0 +1,244 @@
+# Cross-Agent Quality Scorecard
+
+**Audited at:** 2026-04-22T06:17:43.574309+00:00
+**Repos audited:** timmy-home, hermes-agent, the-nexus, the-door, fleet-ops, burn-fleet, the-playground, compounding-intelligence, the-beacon, second-son-of-timmy, timmy-academy, timmy-config
+
+## Per-Agent Summary
+
+| Agent | Total PRs | Merged | Closed (unmerged) | Open | Merge Rate | Rejection Rate | Avg Hours to Merge | Avg Hours to Close |
+|---|---|---:|---:|---:|---:|---:|---:|---:|
+| burn-loop | 1733 | 346 | 1239 | 148 | 21.8% | 78.2% | 18.9 | 20.6 |
+| unknown | 843 | 598 | 214 | 31 | 73.6% | 26.4% | 2.3 | 11.3 |
+| claude | 264 | 138 | 121 | 5 | 53.3% | 46.7% | 3.3 | 6.2 |
+| gemini | 95 | 24 | 70 | 1 | 25.5% | 74.5% | 0.5 | 11.3 |
+| timmy | 28 | 15 | 11 | 2 | 57.7% | 42.3% | 9.8 | 20.2 |
+| bezalel | 21 | 11 | 9 | 1 | 55.0% | 45.0% | 2.7 | 8.0 |
+| allegro | 21 | 7 | 11 | 3 | 38.9% | 61.1% | 31.1 | 20.2 |
+| ezra | 8 | 2 | 3 | 3 | 40.0% | 60.0% | 4.4 | 16.8 |
+| kimi | 6 | 3 | 3 | 0 | 50.0% | 50.0% | 39.5 | 0.5 |
+| manus | 6 | 5 | 1 | 0 | 83.3% | 16.7% | 0.0 | 18.8 |
+| codex | 2 | 2 | 0 | 0 | 100.0% | 0.0% | 2.3 | — |
+
+## Per-Repo Merge Rate
+
+| Repo | Total PRs | Merged | Merge Rate |
+|---|---|---:|---:|
+| the-nexus | 985 | 501 | 51.0% |
+| hermes-agent | 519 | 128 | 25.0% |
+| timmy-config | 404 | 140 | 35.0% |
+| timmy-home | 270 | 104 | 39.0% |
+| fleet-ops | 266 | 84 | 32.0% |
+| the-beacon | 175 | 62 | 35.0% |
+| the-door | 153 | 31 | 20.0% |
+| second-son-of-timmy | 111 | 82 | 74.0% |
+| compounding-intelligence | 50 | 9 | 18.0% |
+| the-playground | 44 | 2 | 5.0% |
+| burn-fleet | 38 | 2 | 5.0% |
+| timmy-academy | 12 | 6 | 50.0% |
+
+## Methodology
+
+- **Agent classification** uses three signals in priority order:
+  1. Explicit title tag (e.g. `[Claude]`, `[Ezra]`)
+  2. Branch name containing agent name (e.g. `claude/issue-123`)
+  3. Git user (`claude` → claude, `Rockachopa` → burn-loop)
+- **Merge rate** = merged / (merged + closed_unmerged). Open PRs are excluded.
+- **Rejection rate** = closed_unmerged / (merged + closed_unmerged).
+- **Time metrics** are computed from created_at to merged_at / closed_at.
+
+## Raw Data
+
+```json
+{
+  "burn-loop": {
+    "total_prs": 1733,
+    "merged": 346,
+    "closed_unmerged": 1239,
+    "open": 148,
+    "merge_rate": 0.218,
+    "rejection_rate": 0.782,
+    "avg_hours_to_merge": 18.9,
+    "avg_hours_to_close": 20.6,
+    "repos": [
+      "burn-fleet",
+      "compounding-intelligence",
+      "fleet-ops",
+      "hermes-agent",
+      "second-son-of-timmy",
+      "the-beacon",
+      "the-door",
+      "the-nexus",
+      "the-playground",
+      "timmy-academy",
+      "timmy-config",
+      "timmy-home"
+    ]
+  },
+  "unknown": {
+    "total_prs": 843,
+    "merged": 598,
+    "closed_unmerged": 214,
+    "open": 31,
+    "merge_rate": 0.736,
+    "rejection_rate": 0.264,
+    "avg_hours_to_merge": 2.3,
+    "avg_hours_to_close": 11.3,
+    "repos": [
+      "fleet-ops",
+      "hermes-agent",
+      "second-son-of-timmy",
+      "the-beacon",
+      "the-door",
+      "the-nexus",
+      "timmy-academy",
+      "timmy-config",
+      "timmy-home"
+    ]
+  },
+  "claude": {
+    "total_prs": 264,
+    "merged": 138,
+    "closed_unmerged": 121,
+    "open": 5,
+    "merge_rate": 0.533,
+    "rejection_rate": 0.467,
+    "avg_hours_to_merge": 3.3,
+    "avg_hours_to_close": 6.2,
+    "repos": [
+      "hermes-agent",
+      "the-nexus",
+      "timmy-config",
+      "timmy-home"
+    ]
+  },
+  "gemini": {
+    "total_prs": 95,
+    "merged": 24,
+    "closed_unmerged": 70,
+    "open": 1,
+    "merge_rate": 0.255,
+    "rejection_rate": 0.745,
+    "avg_hours_to_merge": 0.5,
+    "avg_hours_to_close": 11.3,
+    "repos": [
+      "hermes-agent",
+      "the-nexus",
+      "timmy-config",
+      "timmy-home"
+    ]
+  },
+  "timmy": {
+    "total_prs": 28,
+    "merged": 15,
+    "closed_unmerged": 11,
+    "open": 2,
+    "merge_rate": 0.577,
+    "rejection_rate": 0.423,
+    "avg_hours_to_merge": 9.8,
+    "avg_hours_to_close": 20.2,
+    "repos": [
+      "burn-fleet",
+      "hermes-agent",
+      "the-nexus",
+      "timmy-config",
+      "timmy-home"
+    ]
+  },
+  "bezalel": {
+    "total_prs": 21,
+    "merged": 11,
+    "closed_unmerged": 9,
+    "open": 1,
+    "merge_rate": 0.55,
+    "rejection_rate": 0.45,
+    "avg_hours_to_merge": 2.7,
+    "avg_hours_to_close": 8.0,
+    "repos": [
+      "burn-fleet",
+      "hermes-agent",
+      "the-beacon",
+      "the-nexus",
+      "timmy-config",
+      "timmy-home"
+    ]
+  },
+  "allegro": {
+    "total_prs": 21,
+    "merged": 7,
+    "closed_unmerged": 11,
+    "open": 3,
+    "merge_rate": 0.389,
+    "rejection_rate": 0.611,
+    "avg_hours_to_merge": 31.1,
+    "avg_hours_to_close": 20.2,
+    "repos": [
+      "burn-fleet",
+      "hermes-agent",
+      "the-beacon",
+      "the-nexus",
+      "timmy-config",
+      "timmy-home"
+    ]
+  },
+  "ezra": {
+    "total_prs": 8,
+    "merged": 2,
+    "closed_unmerged": 3,
+    "open": 3,
+    "merge_rate": 0.4,
+    "rejection_rate": 0.6,
+    "avg_hours_to_merge": 4.4,
+    "avg_hours_to_close": 16.8,
+    "repos": [
+      "burn-fleet",
+      "fleet-ops",
+      "timmy-config",
+      "timmy-home"
+    ]
+  },
+  "kimi": {
+    "total_prs": 6,
+    "merged": 3,
+    "closed_unmerged": 3,
+    "open": 0,
+    "merge_rate": 0.5,
+    "rejection_rate": 0.5,
+    "avg_hours_to_merge": 39.5,
+    "avg_hours_to_close": 0.5,
+    "repos": [
+      "hermes-agent",
+      "the-nexus",
+      "timmy-home"
+    ]
+  },
+  "manus": {
+    "total_prs": 6,
+    "merged": 5,
+    "closed_unmerged": 1,
+    "open": 0,
+    "merge_rate": 0.833,
+    "rejection_rate": 0.167,
+    "avg_hours_to_merge": 0.0,
+    "avg_hours_to_close": 18.8,
+    "repos": [
+      "the-nexus",
+      "timmy-config"
+    ]
+  },
+  "codex": {
+    "total_prs": 2,
+    "merged": 2,
+    "closed_unmerged": 0,
+    "open": 0,
+    "merge_rate": 1.0,
+    "rejection_rate": 0.0,
+    "avg_hours_to_merge": 2.3,
+    "avg_hours_to_close": null,
+    "repos": [
+      "timmy-config",
+      "timmy-home"
+    ]
+  }
+}
+```
+