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 rules/haohao-end/openagent/010-pythongit clone --depth 1 https://github.com/Haohao-end/openagentWhat 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 | $0.00000 | $0.00113 |
| Opus 5 | $0.00000 | $0.00056 |
| Sonnet 5 | $0.00000 | $0.00023 |
| Haiku 4.5 | $0.00000 | $0.00011 |
Grade A, and why
010-python 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 yesterday.
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.
What it actually says
Python Conventions:
- Use f-strings for formatting.
- Prefer list/dict comprehensions over loops when readable.
- Always use context managers (with statements) for resources.
- Use dataclasses or Pydantic models for data structures.
- Comprehensive error handling: specific exceptions, meaningful messages.
- Tests: use pytest with factories, mock external services (LLMs, DBs).
- Never use bare except: — always specify exception types.
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.
- yesterday First seen · 13 lines · 0 tokens per session scan A e07f2d6b4df7
010-python is a cursor rule published in the GitHub repository Haohao-end/openagent (800 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 113 tokens. 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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