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Author SHA1 Message Date
Timmy Agent
3f45cae90a feat(audit): Cross-agent quality audit — #518
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- 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
2026-04-22 02:20:54 -04:00
6 changed files with 602 additions and 267 deletions

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@@ -62,24 +62,6 @@ Writes:
## Usage
### Timmy Mac wiring helper
Use the dedicated Timmy helper when you want to wire a real RunPod or Vertex-style endpoint into the local Mac Hermes config:
```bash
python3 scripts/timmy_gemma4_mac.py --base-url https://your-openai-bridge.example/v1 --write-config
python3 scripts/timmy_gemma4_mac.py --vertex-base-url https://your-vertex-bridge.example --write-config
python3 scripts/timmy_gemma4_mac.py --pod-id <runpod-id> --write-config --verify-chat
```
The helper writes to `~/.hermes/config.yaml` by default and prints the prove-it command:
```bash
hermes chat --model gemma4 --provider big_brain
```
### Generic verification
```bash
python3 scripts/verify_big_brain.py
python3 scripts/big_brain_manager.py

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@@ -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())

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@@ -1,164 +0,0 @@
#!/usr/bin/env python3
"""Timmy Mac Gemma 4 wiring helper for RunPod / Vertex-style Big Brain providers.
Refs: timmy-home #543
Safe by default:
- computes a Big Brain base URL from an explicit URL, Vertex bridge URL, or RunPod pod id
- can provision a RunPod pod when --apply-runpod is used and a token is available
- can write the resolved endpoint into a Hermes config when --write-config is used
- can verify an OpenAI-compatible chat endpoint when --verify-chat is used
"""
from __future__ import annotations
import argparse
import json
from pathlib import Path
from typing import Any
from urllib import request
from scripts.bezalel_gemma4_vps import (
DEFAULT_CLOUD_TYPE,
DEFAULT_GPU_TYPE,
DEFAULT_MODEL,
DEFAULT_PROVIDER_NAME,
build_runpod_endpoint,
deploy_runpod,
update_config_text,
)
DEFAULT_TOKEN_FILE = Path.home() / ".config" / "runpod" / "access_key"
DEFAULT_CONFIG_PATH = Path.home() / ".hermes" / "config.yaml"
def _normalize_openai_base(base_url: str | None) -> str:
if not base_url:
return ""
cleaned = str(base_url).strip().rstrip("/")
return cleaned if cleaned.endswith("/v1") else f"{cleaned}/v1"
def choose_base_url(*, vertex_base_url: str | None = None, base_url: str | None = None, pod_id: str | None = None) -> str:
if vertex_base_url:
return _normalize_openai_base(vertex_base_url)
if base_url:
return _normalize_openai_base(base_url)
if pod_id:
return build_runpod_endpoint(pod_id)
return "https://YOUR_BIG_BRAIN_HOST/v1"
def write_config_file(config_path: Path, *, base_url: str, model: str = DEFAULT_MODEL, provider_name: str = DEFAULT_PROVIDER_NAME) -> str:
original = config_path.read_text() if config_path.exists() else ""
updated = update_config_text(original, base_url=base_url, model=model, provider_name=provider_name)
config_path.parent.mkdir(parents=True, exist_ok=True)
config_path.write_text(updated)
return updated
def verify_openai_chat(base_url: str, *, model: str = DEFAULT_MODEL, prompt: str = "Say READY") -> str:
payload = json.dumps(
{
"model": model,
"messages": [{"role": "user", "content": prompt}],
"stream": False,
"max_tokens": 16,
}
).encode()
req = request.Request(
f"{base_url.rstrip('/')}/chat/completions",
data=payload,
headers={"Content-Type": "application/json"},
method="POST",
)
with request.urlopen(req, timeout=30) as resp:
data = json.loads(resp.read().decode())
return data["choices"][0]["message"]["content"]
def build_summary(*, base_url: str, model: str, provider_name: str = DEFAULT_PROVIDER_NAME, config_path: Path = DEFAULT_CONFIG_PATH) -> dict[str, Any]:
return {
"provider_name": provider_name,
"base_url": base_url,
"model": model,
"config_path": str(config_path),
"verification_commands": [
"python3 scripts/verify_big_brain.py",
f"python3 scripts/timmy_gemma4_mac.py --base-url {base_url} --write-config --verify-chat",
"hermes chat --model gemma4 --provider big_brain",
],
}
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Wire a RunPod/Vertex Gemma 4 endpoint into Timmy's Mac Hermes config.")
parser.add_argument("--pod-name", default="timmy-gemma4")
parser.add_argument("--gpu-type", default=DEFAULT_GPU_TYPE)
parser.add_argument("--cloud-type", default=DEFAULT_CLOUD_TYPE)
parser.add_argument("--model", default=DEFAULT_MODEL)
parser.add_argument("--provider-name", default=DEFAULT_PROVIDER_NAME)
parser.add_argument("--token-file", type=Path, default=DEFAULT_TOKEN_FILE)
parser.add_argument("--config-path", type=Path, default=DEFAULT_CONFIG_PATH)
parser.add_argument("--pod-id", help="Existing RunPod pod id to convert into an OpenAI-compatible base URL")
parser.add_argument("--base-url", help="Explicit OpenAI-compatible base URL")
parser.add_argument("--vertex-base-url", help="Vertex AI OpenAI-compatible bridge base URL")
parser.add_argument("--apply-runpod", action="store_true", help="Provision a RunPod pod using the RunPod GraphQL API")
parser.add_argument("--write-config", action="store_true", help="Write the resolved endpoint into --config-path")
parser.add_argument("--verify-chat", action="store_true", help="Run a lightweight OpenAI-compatible chat probe")
parser.add_argument("--json", action="store_true", help="Emit machine-readable JSON")
return parser.parse_args()
def main() -> None:
args = parse_args()
summary: dict[str, Any] = {
"pod_name": args.pod_name,
"gpu_type": args.gpu_type,
"cloud_type": args.cloud_type,
"model": args.model,
"provider_name": args.provider_name,
"actions": [],
}
base_url = choose_base_url(vertex_base_url=args.vertex_base_url, base_url=args.base_url, pod_id=args.pod_id)
if args.apply_runpod:
if not args.token_file.exists():
raise SystemExit(f"RunPod token file not found: {args.token_file}")
api_key = args.token_file.read_text().strip()
deployed = deploy_runpod(api_key=api_key, name=args.pod_name, gpu_type=args.gpu_type, cloud_type=args.cloud_type, model=args.model)
summary["deployment"] = deployed
base_url = deployed["base_url"]
summary["actions"].append("deployed_runpod_pod")
summary.update(build_summary(base_url=base_url, model=args.model, provider_name=args.provider_name, config_path=args.config_path))
if args.write_config:
write_config_file(args.config_path, base_url=base_url, model=args.model, provider_name=args.provider_name)
summary["actions"].append("wrote_config")
if args.verify_chat:
summary["verify_response"] = verify_openai_chat(base_url, model=args.model)
summary["actions"].append("verified_chat")
if args.json:
print(json.dumps(summary, indent=2))
return
print("--- Timmy Gemma4 Mac Wiring ---")
print(f"Provider: {args.provider_name}")
print(f"Base URL: {base_url}")
print(f"Model: {args.model}")
print(f"Config path: {args.config_path}")
if "verify_response" in summary:
print(f"Verify response: {summary['verify_response']}")
if summary["actions"]:
print("Actions: " + ", ".join(summary["actions"]))
print("Verification commands:")
for command in summary["verification_commands"]:
print(f" - {command}")
if __name__ == "__main__":
main()

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@@ -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

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@@ -1,85 +0,0 @@
from __future__ import annotations
import importlib.util
import json
import sys
from pathlib import Path
from unittest.mock import patch
ROOT = Path(__file__).resolve().parent.parent
SCRIPT = ROOT / "scripts" / "timmy_gemma4_mac.py"
README = ROOT / "scripts" / "README_big_brain.md"
def load_module():
spec = importlib.util.spec_from_file_location("timmy_gemma4_mac", str(SCRIPT))
mod = importlib.util.module_from_spec(spec)
sys.modules["timmy_gemma4_mac"] = mod
spec.loader.exec_module(mod)
return mod
class _FakeResponse:
def __init__(self, payload: dict):
self._payload = json.dumps(payload).encode()
def read(self) -> bytes:
return self._payload
def __enter__(self):
return self
def __exit__(self, exc_type, exc, tb):
return False
def test_script_exists() -> None:
assert SCRIPT.exists(), "scripts/timmy_gemma4_mac.py must exist"
def test_default_paths_target_timmy_mac_hermes() -> None:
mod = load_module()
assert mod.DEFAULT_CONFIG_PATH == Path.home() / ".hermes" / "config.yaml"
assert mod.DEFAULT_TOKEN_FILE == Path.home() / ".config" / "runpod" / "access_key"
def test_choose_base_url_prefers_vertex_then_explicit_then_runpod() -> None:
mod = load_module()
assert mod.choose_base_url(vertex_base_url="https://vertex-proxy.example/v1") == "https://vertex-proxy.example/v1"
assert mod.choose_base_url(base_url="https://custom-endpoint/v1") == "https://custom-endpoint/v1"
assert mod.choose_base_url(pod_id="abc123") == "https://abc123-11434.proxy.runpod.net/v1"
def test_build_summary_includes_prove_it_commands() -> None:
mod = load_module()
summary = mod.build_summary(base_url="https://vertex-proxy.example/v1", model="gemma4:latest")
assert summary["verification_commands"][0] == "python3 scripts/verify_big_brain.py"
assert any("hermes chat --model gemma4 --provider big_brain" in cmd for cmd in summary["verification_commands"])
def test_verify_openai_chat_targets_chat_completions() -> None:
mod = load_module()
response_payload = {
"choices": [{"message": {"content": "READY"}}]
}
with patch("timmy_gemma4_mac.request.urlopen", return_value=_FakeResponse(response_payload)) as mocked:
result = mod.verify_openai_chat("https://vertex-proxy.example/v1", model="gemma4:latest", prompt="say READY")
assert result == "READY"
req = mocked.call_args.args[0]
assert req.full_url == "https://vertex-proxy.example/v1/chat/completions"
def test_readme_mentions_timmy_mac_wiring_flow() -> None:
text = README.read_text(encoding="utf-8")
required = [
"scripts/timmy_gemma4_mac.py",
"--vertex-base-url",
"--write-config",
"python3 scripts/verify_big_brain.py",
"hermes chat --model gemma4 --provider big_brain",
]
missing = [item for item in required if item not in text]
assert not missing, missing

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@@ -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"
]
}
}
```