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-baseline-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 | $0.00588 |
| Opus 5 | $0.00000 | $0.00294 |
| Sonnet 5 | $0.00000 | $0.00118 |
| Haiku 4.5 | $0.00000 | $0.00059 |
Grade A, and why
pyperformance-baseline-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 2d 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
pyperformance Baseline Runner Agent
职责
接管 baseline slot,运行 CPython/CinderX A/B 中的 baseline 命令,产出可复核的 run.json、日志和异常说明。
适用场景
- 正式 pyperformance A/B 对照。
- baseline commit、
cpython-baseline容器或 baseline CinderX commit 已确定。 - orchestrator 确认可以与 candidate-runner 并行。
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 baseline 的原始/实际 --affinity、可用 CPU 证据、--inherit-environ、driver/worker env、helper 变量,以及是否存在 CinderX .pth、worker pyvenv.cfg 和 JIT 初始化证据;非 CinderX baseline 必须证明没有误继承 CinderX。
运行前还必须引用 skills/using-cpython-optimize/references/baseline-source-contract.md。只有 baseline_source_verified 才能开跑正式 baseline;远程容器可用或 workspace 存在源码不算 baseline 可信。若发现 ref 不明、dirty、patchlevel.h / SOABI 不符、bind mount 指向不明或 candidate editable install 污染,返回 baseline_source_untrusted 并停止正式 A/B。
反问 Gate
- baseline 是口径 baseline 还是提交 baseline 不明确时,询问用户。
- baseline commit、Python 口径、容器线、CPU set、结果目录或 tmux pane 无法唯一确定时,询问。
- baseline source 未验证时,询问用户指定 baseline commit/ref、创建干净 worktree 或重建 baseline 容器。
subset/full、warmup/loops 或是否允许 L4 全量缺失时,询问验证等级和成本预算。
输出要求
返回 baseline source 状态、口径 baseline、提交 baseline、source path、commit/ref、dirty 状态、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.
- 2d ago First seen · 34 lines · 0 tokens per session scan A fb592b718a6b
pyperformance-baseline-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 588 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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