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 sisibeloved/cpython-optimize-skill --skill cinderx-hir-lir-analyzegit 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-lir-analyze)<a href="https://agentmods.dev/skills/sisibeloved/cpython-optimize-skill/cinderx-hir-lir-analyze"><img src="https://agentmods.dev/badge/skills/sisibeloved/cpython-optimize-skill/cinderx-hir-lir-analyze/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/sisibeloved/cpython-optimize-skill/cinderx-hir-lir-analyze"><img src="https://agentmods.dev/badge/skills/sisibeloved/cpython-optimize-skill/cinderx-hir-lir-analyze.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 | $0.00050 | $0.00292 |
| Opus 5 | $0.00025 | $0.00146 |
| Sonnet 5 | $0.00010 | $0.00058 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
cinderx-hir-lir-analyze 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 10d 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/LIR Analyze
JIT 用例分析技能。先由 cinderx-jit-entry-check 确认进入 JIT，再做热点和 IR 解释；未进入 JIT 或主要解释执行时，转 cinderx-interpreter-case-analyze。
顺序
- 热点归因。
- HIR 片段和 HIR pass 差异。
- deopt、guard、side exit 和失败边。
- LIR 片段和 LIR 平台差异。
- uop / 机器码。
- frame layout、调用约定、trampoline。
- 修改方案和最小验证命令。
输出格式
- 热点归因
- 具体 HIR/LIR/uop/机器码片段
- deopt / guard / side exit 证据
- LIR 平台差异和 ISA / 微架构影响
- 问题说明
- 修改方案
- 风险和回归用例
没有具体片段时，不把它算作完整优化点。
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 31 lines · 50 tokens per session scan A fa8e175838cc
cinderx-hir-lir-analyze is a skill published in the GitHub repository sisibeloved/cpython-optimize-skill (2 stars, last pushed 12d ago), licensed MIT. It adds 50 tokens to every session and 292 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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