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Author SHA1 Message Date
Alexander Whitestone
a091a5c9bf fix: give tower NPC room movement purposeful goals (#517)
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2026-04-22 11:51:47 -04:00
Alexander Whitestone
4afde6da78 test: add tower NPC movement acceptance coverage (#517) 2026-04-22 11:47:21 -04:00
5 changed files with 209 additions and 638 deletions

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@@ -454,23 +454,112 @@ class TimmyAI:
class NPCAI:
"""AI for non-player characters. They make choices based on goals."""
GOAL_ROOM_TARGETS = {
"Marcus": {
"sit": "Garden",
"speak_truth": "Threshold",
"remember": "Bridge",
},
"Bezalel": {
"forge": "Forge",
"tend_fire": "Forge",
"create_key": "Forge",
},
"Allegro": {
"oversee": "Threshold",
"keep_time": "Tower",
"check_tunnel": "Bridge",
},
"Ezra": {
"study": "Tower",
"read_whiteboard": "Tower",
"find_pattern": "Tower",
},
"Gemini": {
"observe": "Threshold",
"tend_garden": "Garden",
"listen": "Garden",
},
"Claude": {
"inspect": "Threshold",
"organize": "Tower",
"enforce_order": "Bridge",
},
"ClawCode": {
"forge": "Forge",
"test_edge": "Bridge",
"build_weapon": "Forge",
},
"Kimi": {
"contemplate": "Garden",
"read": "Tower",
"remember": "Bridge",
},
}
GOAL_CYCLES = {
"Marcus": ("sit", "speak_truth", "remember"),
"Allegro": ("oversee", "keep_time", "check_tunnel"),
"Claude": ("inspect", "organize", "enforce_order"),
"ClawCode": ("test_edge", "forge", "build_weapon"),
"Kimi": ("contemplate", "read", "remember"),
}
def __init__(self, world):
self.world = world
def _available_targets(self, available, prefix):
return [a.split(":", 1)[1] for a in available if a.startswith(f"{prefix}:")]
def _target_room_for(self, char_name, goal):
return self.GOAL_ROOM_TARGETS.get(char_name, {}).get(goal)
def _next_direction_toward(self, current_room, target_room):
if current_room == target_room:
return None
frontier = [(current_room, [])]
seen = {current_room}
while frontier:
room, path = frontier.pop(0)
if room == target_room:
return path[0] if path else None
for direction, dest in self.world.rooms[room].get("connections", {}).items():
if dest not in seen:
seen.add(dest)
frontier.append((dest, path + [direction]))
return None
def _move_toward_goal(self, room, target_room):
direction = self._next_direction_toward(room, target_room)
return f"move:{direction}" if direction else None
def _advance_goal_cycle(self, char_name, char):
cycle = self.GOAL_CYCLES.get(char_name)
if not cycle or self.world.tick <= 0:
return
goal = char.get("active_goal")
if goal not in cycle:
return
target_room = self._target_room_for(char_name, goal)
if char.get("room") != target_room:
return
if self.world.tick % 12 != 0:
return
index = cycle.index(goal)
char["active_goal"] = cycle[(index + 1) % len(cycle)]
def make_choice(self, char_name):
"""Make a choice for this NPC this tick."""
char = self.world.characters[char_name]
self._advance_goal_cycle(char_name, char)
room = char["room"]
available = ActionSystem.get_available_actions(char_name, self.world)
# If low energy, rest
if char["energy"] <= 1:
return "rest"
# Goal-driven behavior
goal = char["active_goal"]
if char_name == "Marcus":
return self._marcus_choice(char, room, available)
elif char_name == "Bezalel":
@@ -487,66 +576,96 @@ class NPCAI:
return self._clawcode_choice(char, room, available)
elif char_name == "Kimi":
return self._kimi_choice(char, room, available)
return "rest"
def _marcus_choice(self, char, room, available):
goal = char.get("active_goal", "sit")
target_room = self._target_room_for("Marcus", goal)
if room != target_room:
return self._move_toward_goal(room, target_room) or "rest"
others = self._available_targets(available, "speak")
if goal == "speak_truth" and others:
return f"speak:{random.choice(others)}"
if goal == "remember" and room == "Bridge":
return random.choice(["examine", "rest"])
if room == "Garden" and random.random() < 0.7:
return "rest"
if room != "Garden":
return "move:west"
# Speak to someone if possible
others = [a.split(":")[1] for a in available if a.startswith("speak:")]
if others and random.random() < 0.4:
return f"speak:{random.choice(others)}"
return "rest"
def _bezalel_choice(self, char, room, available):
target_room = self._target_room_for("Bezalel", char.get("active_goal", "forge"))
if room != target_room:
return self._move_toward_goal(room, target_room) or "rest"
if room == "Forge" and self.world.rooms["Forge"]["fire"] == "glowing":
return random.choice(["forge", "rest"] if char["energy"] > 2 else ["rest"])
if room != "Forge":
return "move:west"
if random.random() < 0.3:
return "tend_fire"
return "forge"
def _kimi_choice(self, char, room, available):
others = [a.split(":")[1] for a in available if a.startswith("speak:")]
goal = char.get("active_goal", "contemplate")
target_room = self._target_room_for("Kimi", goal)
if room != target_room:
return self._move_toward_goal(room, target_room) or "rest"
others = self._available_targets(available, "speak")
if goal == "read" and room == "Tower":
return "study" if char["energy"] > 2 else "rest"
if room == "Garden" and others and random.random() < 0.3:
return f"speak:{random.choice(others)}"
if room == "Tower":
return "study" if char["energy"] > 2 else "rest"
return "move:east" # Head back toward Garden
if room == "Bridge":
return random.choice(["examine", "rest"])
return "rest"
def _gemini_choice(self, char, room, available):
others = [a.split(":")[1] for a in available if a.startswith("listen:")]
if room == "Garden" and others and random.random() < 0.4:
return f"listen:{random.choice(others)}"
return random.choice(["plant", "rest"] if room == "Garden" else ["move:west"])
goal = char.get("active_goal", "observe")
target_room = self._target_room_for("Gemini", goal)
if room != target_room:
return self._move_toward_goal(room, target_room) or "rest"
listeners = self._available_targets(available, "listen")
if room == "Garden" and listeners and random.random() < 0.4:
return f"listen:{random.choice(listeners)}"
return random.choice(["plant", "rest"] if room == "Garden" else ["examine", "rest"])
def _ezra_choice(self, char, room, available):
goal = char.get("active_goal", "study")
target_room = self._target_room_for("Ezra", goal)
if room != target_room:
return self._move_toward_goal(room, target_room) or "rest"
if room == "Tower" and char["energy"] > 2:
return random.choice(["study", "write_rule", "help:Timmy"])
if room != "Tower":
return "move:south"
return "rest"
def _claude_choice(self, char, room, available):
others = [a.split(":")[1] for a in available if a.startswith("confront:")]
goal = char.get("active_goal", "inspect")
target_room = self._target_room_for("Claude", goal)
if room != target_room:
return self._move_toward_goal(room, target_room) or "rest"
others = self._available_targets(available, "confront")
if others and random.random() < 0.2:
return f"confront:{random.choice(others)}"
return random.choice(["examine", "rest"])
def _clawcode_choice(self, char, room, available):
goal = char.get("active_goal", "test_edge")
target_room = self._target_room_for("ClawCode", goal)
if room != target_room:
return self._move_toward_goal(room, target_room) or "rest"
if room == "Forge" and char["energy"] > 2:
return "forge"
return random.choice(["move:east", "forge", "rest"])
return random.choice(["examine", "rest"])
def _allegro_choice(self, char, room, available):
others = [a.split(":")[1] for a in available if a.startswith("speak:")]
goal = char.get("active_goal", "oversee")
target_room = self._target_room_for("Allegro", goal)
if room != target_room:
return self._move_toward_goal(room, target_room) or "rest"
others = self._available_targets(available, "speak")
if others and random.random() < 0.3:
return f"speak:{random.choice(others)}"
return random.choice(["move:north", "move:south", "examine"])
return random.choice(["examine", "rest"])
class DialogueSystem:

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@@ -1,313 +0,0 @@
#!/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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@@ -1,45 +0,0 @@
"""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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@@ -0,0 +1,54 @@
from importlib.util import module_from_spec, spec_from_file_location
from pathlib import Path
ROOT = Path(__file__).resolve().parent.parent
GAME_PATH = ROOT / "evennia" / "timmy_world" / "world" / "game.py"
def load_game_module():
spec = spec_from_file_location("tower_world_game", GAME_PATH)
module = module_from_spec(spec)
assert spec.loader is not None
spec.loader.exec_module(module)
module.random.seed(0)
return module
def _visitor_sets_after_ticks(module, ticks=100):
engine = module.GameEngine()
engine.start_new_game()
visitors = {room: set() for room in engine.world.rooms}
for _ in range(ticks):
engine.run_tick("rest")
for name, char in engine.world.characters.items():
if name == "Timmy":
continue
visitors[char["room"]].add(name)
return visitors
class TestTowerGameNpcPurpose:
def test_goal_driven_room_targets(self):
module = load_game_module()
world = module.World()
npc_ai = module.NPCAI(world)
world.characters["Marcus"]["room"] = "Threshold"
world.characters["Marcus"]["active_goal"] = "sit"
assert npc_ai.make_choice("Marcus") == "move:east"
world.characters["Ezra"]["room"] = "Threshold"
world.characters["Ezra"]["active_goal"] = "study"
assert npc_ai.make_choice("Ezra") == "move:north"
world.characters["Claude"]["room"] = "Threshold"
world.characters["Claude"]["active_goal"] = "enforce_order"
assert npc_ai.make_choice("Claude") == "move:south"
def test_every_room_gets_multiple_npc_visitors_over_100_ticks(self):
module = load_game_module()
visitors = _visitor_sets_after_ticks(module, ticks=100)
assert all(len(names) >= 2 for names in visitors.values()), visitors
assert len(visitors["Bridge"]) >= 3, visitors["Bridge"]

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@@ -1,244 +0,0 @@
# 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"
]
}
}
```