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 skills add sisibeloved/cpython-optimize-skill --skill cinderx-isa-microarch-comparegit 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-isa-microarch-compare)<a href="https://agentmods.dev/skills/sisibeloved/cpython-optimize-skill/cinderx-isa-microarch-compare"><img src="https://agentmods.dev/badge/skills/sisibeloved/cpython-optimize-skill/cinderx-isa-microarch-compare.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 5.1 | $0.00056 | $0.00335 |
| Opus 5 | $0.00028 | $0.00168 |
| Sonnet 5 | $0.00011 | $0.00067 |
| Haiku 4.5 | $0.00006 | $0.00034 |
Grade A, and why
cinderx-isa-microarch-compare 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 7d 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 ISA/Microarch Compare
平台差异分析先建立矩阵，再进入 HIR/LIR 细节。
矩阵
- 平台：Kunpeng、x86、内核、容器、CPU governor。
- ISA：指令选择、SIMD、原子、barrier、寄存器和调用约定。
- 微架构：cache、分支预测、流水线、内存带宽、TLB、hugepages。
- 观测：perf top/stat、机器码、speedup、benchmark 覆盖。
- lowering：CinderX codegen 是否生成不同形态。
反问 Gate
- 平台对、CPU 型号、benchmark 集合或性能口径无法唯一确定时，询问用户。
- perf/硬件计数器/CPU governor/hugepages 需要权限或会改变环境时，询问。
- 系统性扫描范围超过当前预算时，询问先做 L0/L2 子集还是进入 L3/L4。
输出
平台差异点、受影响 benchmark、候选优化点、最小验证命令和需要排除的环境漂移。
不要一开始就陷入某个 HIR pass；先证明平台差异存在。
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.
- 7d ago First seen · 29 lines · 56 tokens per session scan A 03a551d014bc
cinderx-isa-microarch-compare is a skill published in the GitHub repository sisibeloved/cpython-optimize-skill (2 stars, last pushed 9d ago), licensed MIT. It adds 56 tokens to every session and 335 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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