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 skills/sisibeloved/cpython-optimize-skill/cinderx-hir-dumpnpx skills add sisibeloved/cpython-optimize-skill --skill cinderx-hir-dumpgit clone --depth 1 https://github.com/sisibeloved/cpython-optimize-skillWrote 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/sisibeloved/cpython-optimize-skill/cinderx-hir-dump)<a href="https://agentmods.dev/skills/sisibeloved/cpython-optimize-skill/cinderx-hir-dump"><img src="https://agentmods.dev/badge/skills/sisibeloved/cpython-optimize-skill/cinderx-hir-dump.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00275 |
| Opus 5 | $0.00025 | $0.00138 |
| Sonnet 5 | $0.00010 | $0.00055 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
cinderx-hir-dump 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 6d 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
CinderX HIR Dump
HIR dump 必须贴近真实 worker 命令，不另造失真的简化命令。
规则
- 以
pyperformance-worker-run返回的真实 worker 命令为基线。 - 先读取
../using-cpython-optimize/references/pyperformance-env-contract.md，确认 debug 变量只是在真实 worker 环境契约上增量叠加，并保留.pth、worker venv 和cinderx.is_initialized()证据。 - 只增减
PYTHONJITDUMPFINALHIR、PYTHONJITLOGFILE、PYTHONJITDUMPSTATS等 debug 变量。 - 保存 HIR dump、jit.log、stdout/stderr、exit status。
- 正式性能数据不能使用开启大量 dump 的结果。
输出
真实 worker 命令、debug 变量差异、HIR 路径、jit.log 路径、最后编译函数和无法采集原因。
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.
- 6d ago First seen · 21 lines · 50 tokens per session scan A c016bb744f3f
cinderx-hir-dump is a skill published in the GitHub repository sisibeloved/cpython-optimize-skill (2 stars, last pushed 8d ago), licensed MIT. It adds 50 tokens to every session and 275 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
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