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-jit-entry-checknpx skills add sisibeloved/cpython-optimize-skill --skill cinderx-jit-entry-checkgit 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-jit-entry-check)<a href="https://agentmods.dev/skills/sisibeloved/cpython-optimize-skill/cinderx-jit-entry-check"><img src="https://agentmods.dev/badge/skills/sisibeloved/cpython-optimize-skill/cinderx-jit-entry-check.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 | $0.00044 | $0.00384 |
| Opus 5 | $0.00022 | $0.00192 |
| Sonnet 5 | $0.00009 | $0.00077 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
cinderx-jit-entry-check 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 5d 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 JIT Entry Check
先确认 benchmark 本体进入 CinderX JIT，再分析 HIR/LIR 或收益。
误判来源
- 启动期函数进入 JIT，但 benchmark 本体没有。
- 第三方包或 import-time 代码触发 compile storm。
- jit.log 有内容，但没有目标 benchmark 函数。
- HIR dump 来自简化命令，不来自真实 worker。
检查项
- 真实 worker 命令
../using-cpython-optimize/references/pyperformance-env-contract.md中的 driver/worker 环境变量传递是否成立- worker 可见的 CinderX
.pth、site-packages和pyvenv.cfg/include-system-site-packages - worker 内
import cinderx、import _cinderx、cinderx.__file__、cinderx.get_import_error()、cinderx.is_initialized() - jit.log 中目标函数
- HIR 中 benchmark 本体片段
- AutoJIT 阈值和 JIT flags
PYTHONJITHUGEPAGES、PYTHONJITAUTO等平台护栏
输出 entered_cinderx_jit、证据片段、排除项和下一步。若 entered_cinderx_jit=false、目标热函数不进入 gate 或主要解释执行，下一步转 cinderx-interpreter-case-analyze，不要硬套 HIR/LIR 结论。
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.
- 5d ago First seen · 29 lines · 44 tokens per session scan A a99475d836ec
cinderx-jit-entry-check is a skill published in the GitHub repository sisibeloved/cpython-optimize-skill (2 stars, last pushed 7d ago), licensed MIT. It adds 44 tokens to every session and 384 once invoked, about $0.0002 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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