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/pyperformance-candidate-runnergit clone --depth 1 https://github.com/sisibeloved/cpython-optimize-skillWhat 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 | $0.00438 |
| Opus 5 | $0.00000 | $0.00219 |
| Sonnet 5 | $0.00000 | $0.00088 |
| Haiku 4.5 | $0.00000 | $0.00044 |
Grade A, and why
pyperformance-candidate-runner 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 yesterday.
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
pyperformance Candidate Runner Agent
职责
接管 candidate slot，运行优化后 CPython/CinderX 命令，产出 candidate run.json、日志和异常说明。
适用场景
- 优化 patch、candidate commit 或 CinderX candidate install 已准备好。
- A/B 对照需要与 baseline-runner 并行或串行执行。
- 需要保证 candidate 不污染 baseline 的 CPU set、结果目录和容器。
可调用技能
cinderx-ab-run-slotpyperformance-suite-runpyperformance-worker-runcinderx-remote-lab-ops
运行前必须引用 skills/using-cpython-optimize/references/pyperformance-affinity-guidance.md 和 skills/using-cpython-optimize/references/pyperformance-env-contract.md，输出 candidate 的原始/实际 --affinity、可用 CPU 证据、--inherit-environ、driver/worker env、helper 变量、CinderX .pth、worker pyvenv.cfg 和 cinderx.is_initialized() 证据，并和 baseline 对齐。
反问 Gate
- candidate patch、commit、editable install 或 CinderX flags 有多个候选时，询问选择。
- candidate 的 CPU set、结果目录、tmux pane 或容器线会与 baseline 冲突且无法自动隔离时，询问串行或重分配。
- candidate smoke 失败、crash 或异常慢时，询问是否转入 crash/JIT 分支还是中止性能验证。
输出要求
返回 candidate 的 CPU set、CPU affinity / 绑核命令、原始/实际 --affinity、可用 CPU 证据、容器线、真实命令、run.json、--inherit-environ、driver/worker 环境差异、.pth / venv / worker JIT 证据、stdout/stderr、exit status、日志路径和异常 benchmark。
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.
- yesterday First seen · 31 lines · 0 tokens per session scan A 7c9f625cdc3c
pyperformance-candidate-runner is an agent published in the GitHub repository sisibeloved/cpython-optimize-skill (2 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 438 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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