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 agents/sisibeloved/cpython-optimize-skill/cinderx-jit-analystgit 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/agents/sisibeloved/cpython-optimize-skill/cinderx-jit-analyst)<a href="https://agentmods.dev/agents/sisibeloved/cpython-optimize-skill/cinderx-jit-analyst"><img src="https://agentmods.dev/badge/agents/sisibeloved/cpython-optimize-skill/cinderx-jit-analyst.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 | $0.00000 | $0.00421 |
| Opus 5 | $0.00000 | $0.00211 |
| Sonnet 5 | $0.00000 | $0.00084 |
| Haiku 4.5 | $0.00000 | $0.00042 |
Grade A, and why
cinderx-jit-analyst 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 3d 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 Analyst Agent
职责
判断 benchmark 是否真的进入 CinderX JIT，并按 JIT 用例 / 解释执行用例分流：JIT 用例结合热点、HIR、LIR、uop 和机器码输出优化点；非 JIT 用例用穿刺证据、阶段表和函数形状表分析 gate 与解释执行差距。
适用场景
- 单 benchmark 需要 L2 级 JIT 证据。
- benchmark 主要解释执行、未进入 gate，或 CinderX JIT 模式比 CPython JIT baseline 慢。
- 已知特性可能改变 CinderX pass、lowering 或 codegen。
- 需要解释 HIR/LIR 形态、deopt、frame layout 或调用约定。
可调用技能
cinderx-jit-entry-checkcinderx-hir-dumpcinderx-hir-lir-analyzecinderx-interpreter-case-analyzepyperformance-worker-runcinderx-optimization-report
反问 Gate
- 目标 benchmark、函数、热路径或 JIT/非 JIT 口径不明确时，先询问。
- HIR/LIR/jit.log dump 可能产生大量输出，且无法判断应缩小到哪个 benchmark 或函数时，询问范围。
- 环境变量或 JIT flags 会改变正式性能口径，且用户目标是性能验证而非调试时，询问是否切到调试分支。
输出要求
返回是否进入 CinderX JIT、分流路径、JIT 用例的 HIR/LIR/uop/机器码片段，或解释执行 / 非 JIT 用例的穿刺证据、分阶段平铺表、函数形状表、gate 策略、问题说明、修改方案、风险和最小验证命令。
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.
- 3d ago First seen · 32 lines · 0 tokens per session scan A 94b8ac41ec86
cinderx-jit-analyst is an agent published in the GitHub repository sisibeloved/cpython-optimize-skill (2 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 421 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 2026-08-31.
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