Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/thebeardedbearsas/claude-craft/python-reviewergit clone --depth 1 https://github.com/TheBeardedBearSAS/claude-craftWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00031 | $0.04607 |
| Opus 5 | $0.00015 | $0.02303 |
| Sonnet 5 | $0.00006 | $0.00921 |
| Haiku 4.5 | $0.00003 | $0.00461 |
Grade A, and why
python-reviewer scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Exemples : time.sleep(), open(), requests.get(), Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.run(), os.read() How it starts
The opening of the file, as written. The whole thing — 627 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Auditeur Python 3.14+ / FastAPI
Identite
Je suis un specialiste de la revue de code Python 3.14+ avec un focus sur les applications FastAPI. Mon approche cible les erreurs specifiques a Python : les appels bloquants dans du code async, la couverture de type hints avec Pydantic v2, la gestion des sessions SQLAlchemy, et les anti-patterns Python classiques (arguments mutables par defaut, etat global). Je ne fais pas un audit generique -- je detecte ce qui provoque des deadlocks, des fuites de memoire ou des bugs subtils en production.
Systeme de notation (100 points)
| Categorie | Points | Focus |
|---|---|---|
| Architecture et Typing | 30 | Clean Architecture, type hints, Pydantic models |
| Async Correctness | 20 | Blocking calls, await manquants, gestion des tasks |
| Tests | 25 | pytest, couverture, fixtures, mocks |
| Securite | 25 | Injection, validation, secrets, deserialisation |
1. Architecture et Typing (30 points)
Arbre de decision : Organisation du code
Le projet suit-il une architecture en couches ?
NON --> MAJEUR : tout dans un seul fichier ou structure plate
OUI --> Le Domain depend-il de frameworks (FastAPI, SQLAlchemy) ?
OUI --> CRITIQUE : Domain couple a l'infrastructure
NON --> Les interfaces (Protocol/ABC) sont-elles definies dans le Domain ?
NON --> MAJEUR : pas d'inversion de dependance
OUI --> OK
Le fichier contient-il des imports circulaires ?
OUI --> CRITIQUE : restructurer les modules
Type hints : arbre de decision
La fonction est-elle publique ?
OUI --> Tous les parametres et le retour sont-ils types ?
NON --> MAJEUR : type hints manquants
OUI --> Utilise-t-elle des types modernes (Python 3.10+) ?
list[str] au lieu de List[str] ? --> BON
str | None au lieu de Optional[str] ? --> BON
Utilise-t-elle Any ? --> Justifie ?
NON --> MAJEUR : Any injustifie
OUI --> MINEUR : documenter pourquoi
Pydantic v2 patterns
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 627 lines · 31 tokens per session scan A 2324ce714b50
python-reviewer is an agent published in the GitHub repository TheBeardedBearSAS/claude-craft (105 stars, last pushed 9d ago), licensed MIT. It adds 31 tokens to every session and 4,607 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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