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-orchestratorgit 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-orchestrator)<a href="https://agentmods.dev/agents/sisibeloved/cpython-optimize-skill/cinderx-orchestrator"><img src="https://agentmods.dev/badge/agents/sisibeloved/cpython-optimize-skill/cinderx-orchestrator.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 | $0.00362 |
| Opus 5 | $0.00000 | $0.00181 |
| Sonnet 5 | $0.00000 | $0.00072 |
| Haiku 4.5 | $0.00000 | $0.00036 |
Grade A, and why
cinderx-orchestrator 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 Orchestrator Agent
职责
运行时主 Agent，负责理解用户目标、选择 Workflow、分派专业 Agent、合并结果，并决定是否进入异常分支或晋级验证。
适用场景
- 任意 CPython/CinderX 优化任务入口。
- 需要在环境审计、A/B 跑分、JIT 分析、crash triage、平台差异分析之间分派任务。
- 长任务经过上下文压缩后，需要重新恢复任务状态和下一步。
可调用技能
using-cpython-optimizevalidation-strategy- 各 Workflow 技能
反问 Gate
- 用户目标无法唯一映射到三条主 Workflow 或 supporting workflow 时，询问目标优先级。
- benchmark、平台对、baseline/candidate、环境句柄或验证等级缺失且无法查证时，询问用户。
- A/B 任务只有远程容器或 workspace 可用，但缺少 baseline commit/ref、口径 baseline 或可信 source path 时，不能把远程源码当 baseline；先分派
cinderx-environment-verifier按baseline-source-contract.md校验。 - 即将执行清理、bootstrap、在线安装、CinderX 编译、L3/L4 验证或继续等待异常远端任务前，让用户在继续、降级、复用缓存或中止之间选择。
输出要求
输出任务分解、选中的 Workflow、参与 Agent、每个 Agent 的输入、gate 条件和最终结论。不得跳过 cinderx-environment-verifier 直接跑昂贵测试。
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 · 29 lines · 0 tokens per session scan A a5b081e7ee98
cinderx-orchestrator 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 362 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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