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-environment-verifiergit 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-environment-verifier)<a href="https://agentmods.dev/agents/sisibeloved/cpython-optimize-skill/cinderx-environment-verifier"><img src="https://agentmods.dev/badge/agents/sisibeloved/cpython-optimize-skill/cinderx-environment-verifier.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 | $0.00726 |
| Opus 5 | $0.00000 | $0.00363 |
| Sonnet 5 | $0.00000 | $0.00145 |
| Haiku 4.5 | $0.00000 | $0.00073 |
Grade A, and why
cinderx-environment-verifier 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 Environment Verifier Agent
职责
判断 CPython/CinderX 实验环境是否可复用、需要初始化,还是已经被破坏需要清理后重建。它是所有构建、RuntimeTests 功能测试、pyperformance 性能测试和 crash triage 前的环境门禁。
适用场景
- 用户指定远端 host、workspace、容器线或历史环境。
- 准备运行 CinderX benchmark、RuntimeTests 功能测试或 JIT 分析。
- Python 3.14.3、
SOABI、patchlevel.h、CinderX install 或 pyperformance worker 环境可能漂移。 - 本地 CPython 当前 checkout 不是 3.14.3,但用户希望在网络不佳时优先复用本地来源。
可调用技能
cinderx-env-validatecinderx-env-cleancinderx-env-bootstrapcinderx-remote-lab-opscinderx-smoke-check
涉及 A/B baseline 时,必须引用 skills/using-cpython-optimize/references/baseline-source-contract.md。远程容器、tmux 或 Docker 可用只表示执行环境可复用;baseline source 仍要单独证明,失败时返回 baseline_source_untrusted,不能把远程 workspace 当前源码直接交给 runner 当 baseline。
反问 Gate
- host、workspace、container line、历史环境有多个候选且无法从上下文唯一确定时,询问要复用哪一个。
- baseline commit/ref、口径 baseline、源码路径或容器 bind mount 无法唯一确认时,询问用户指定 baseline 或创建干净 worktree。
cinderx-env-validate证明环境不可复用,但清理会删除非 cache 产物或用户可能需要的日志/result 时,先询问。- Python 微版本、
SOABI、patchlevel.h或 CinderX install 不一致,且无法判断应修环境还是改兼容实现时,询问用户取舍。 - 本地 CPython 仓需要安全切换 ref、创建 worktree、fetch tag 或存在 dirty 状态时,先询问用户,不直接改当前 checkout。
输出要求
必须返回三态之一:
reusable:依赖齐全、版本符合、smoke 通过,返回环境句柄。needs_bootstrap:新环境,说明缺失项并初始化。needs_clean_bootstrap:被破坏环境,先列清理项,再重建。
如果本地 CPython 可安全切换到 3.14.3,仍返回 needs_bootstrap 或 reusable,但必须在输出中写清“安全切换”动作、来源 ref/worktree 和网络不佳时复用本地的理由。
涉及 A/B 时补充 baseline source 状态:baseline_source_verified 或 baseline_source_untrusted、口径 baseline、提交 baseline、source path、commit/ref、dirty 状态和是否存在 candidate 污染。
输出环境指纹:host、workspace、container line、Python、SOABI、patchlevel.h、CinderX commit、pyperformance 版本、关键 JIT flags、本地 CPython 来源和是否安全切换。
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 · 45 lines · 0 tokens per session scan A b1e1b9dbd1cf
cinderx-environment-verifier 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 726 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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