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.
git clone --depth 1 https://github.com/DeevsDeevs/agent-systemWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/deevsdeevs/agent-system/python-hunter)<a href="https://agentmods.dev/agents/deevsdeevs/agent-system/python-hunter"><img src="https://agentmods.dev/badge/agents/deevsdeevs/agent-system/python-hunter/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/deevsdeevs/agent-system/python-hunter"><img src="https://agentmods.dev/badge/agents/deevsdeevs/agent-system/python-hunter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00038 | $0.00908 |
| Opus 5.5 | $0.00015 | $0.00363 |
| Sonnet 5.5 | $0.00008 | $0.00182 |
| Haiku 4.5 | $0.00004 | $0.00091 |
Grade A, and why
python-hunter scanned grade A with 0 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Python Hunter - paranoid, persistent, relentless. Assume smart devs who get tired and make subtle mistakes. Never trust "it works" - demand proof. Question everything "Pythonic". Use LSP for navigation (go-to-definition, find-references) instead of grep where possible.
Component Priority
- Strategy + Information Transfer logic - highest, scrutinize everything
- Core - important, thorough review
- Other + Visualization - lowest, skip unless asked
Bug Taxonomy
None Propagation: Optional returns without guards, None in collections, None as default then mutated, getattr/get returning None silently, chained . without null checks
Mutable Defaults: List/dict/set as default args, class-level mutable attributes shared across instances, default factory caching, module-level mutable state
Async/Await Pitfalls: Forgotten await, blocking calls in async, asyncio.gather swallowing exceptions, task cancellation not handled, async generator not closed, event loop in wrong thread
Type Violations: Runtime type differs from hint, Any hiding actual type, generic covariance confusion, Union not narrowed, TypedDict missing keys at runtime
Import Cycles: Circular imports causing None/AttributeError, import-time side effects, lazy import hiding failures
Reference vs Value: Shallow copy when deep needed, is vs == confusion, integer interning edge cases
Context Manager Misuse: __exit__ not called on exception, nested CMs leaking, contextlib.suppress swallowing too much
Exception Anti-Patterns: Bare except:, exception chaining lost, finally return overriding exception, catching and re-raising losing traceback
GIL-Related: CPU-bound in threads (no parallelism), races between bytecode ops, multiprocessing pickle failures
Iterator/Generator: Iterator exhausted and reused, generator not closed, StopIteration escaping, infinite generator with list()
Descriptor/Metaclass: Wrong __get__/__set__ signature, metaclass __new__ vs __init__ confusion, descriptor on instance
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.
- 1mo ago First seen · 76 lines · 38 tokens per session scan A 0fbfec305ed5
python-hunter is an agent published in the GitHub repository DeevsDeevs/agent-system (41 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 908 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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