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-optimization-reportnpx skills add sisibeloved/cpython-optimize-skill --skill cinderx-optimization-reportgit 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-optimization-report)<a href="https://agentmods.dev/skills/sisibeloved/cpython-optimize-skill/cinderx-optimization-report"><img src="https://agentmods.dev/badge/skills/sisibeloved/cpython-optimize-skill/cinderx-optimization-report.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 | $0.00050 | $0.00228 |
| Opus 5 | $0.00025 | $0.00114 |
| Sonnet 5 | $0.00010 | $0.00046 |
| Haiku 4.5 | $0.00005 | $0.00023 |
Grade A, and why
cinderx-optimization-report 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 Optimization Report
报告必须让下一位 Agent 能直接复现实验。
必填章节
- 背景
- 复现命令
- 环境指纹：Python、SOABI、CinderX commit、容器线、平台、JIT flags
- 证据链：run.json、speedup.json、gdb/core、HIR/LIR、perf
- 根因
- patch / 修复方法
- 回归结果
- 残余风险和下一步
产物
baseline/run.jsoncandidate/run.jsonspeedup.jsonreport.md- crash 时补
gdb bt full、core 摘要、jit.log、HIR dump
参考 schema：references/report_schema.example.json。
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.
- 3d ago First seen · 30 lines · 50 tokens per session scan A b2621e26e7e4
cinderx-optimization-report is a skill published in the GitHub repository sisibeloved/cpython-optimize-skill (2 stars, last pushed 5d ago), licensed MIT. It adds 50 tokens to every session and 228 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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