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 skills add iloveitaly/llm-ide-rules --skill python-commandgit clone --depth 1 https://github.com/iloveitaly/llm-ide-rulesWrote 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/skills/iloveitaly/llm-ide-rules/python-command)<a href="https://agentmods.dev/skills/iloveitaly/llm-ide-rules/python-command"><img src="https://agentmods.dev/badge/skills/iloveitaly/llm-ide-rules/python-command/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/skills/iloveitaly/llm-ide-rules/python-command"><img src="https://agentmods.dev/badge/skills/iloveitaly/llm-ide-rules/python-command.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 | $0.00002 | $0.00049 |
| Opus 5.5 | $0.00001 | $0.00020 |
| Sonnet 5.5 | $0.00000 | $0.00010 |
| Haiku 4.5 | $0.00000 | $0.00005 |
Grade A, and why
python-command 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 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.
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 Command
- we don't have to put everything in a single perform. You can use helper functions. Can you modularize the code a bit and use helper functions so it's easier to read?
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 Changed · +1 lines c8baedb7024c
- 20d ago Changed · -1 lines · -3 tokens per session 94e14a11931c
- 1mo ago First seen · 9 lines · 5 tokens per session scan A e0dd18bc9640
python-command is a skill published in the GitHub repository iloveitaly/llm-ide-rules (13 stars, last pushed yesterday), licensed MIT. It adds 2 tokens to every session and 49 once invoked, about $0.0000 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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