cinderx-platform-analyst

An analyst for comparing how Kunpeng and x86, or Arm and x86, processors affect CinderX performance. It examines instruction sets, processor design, performance measurements, and compiler lowering differences.

In plain words
What is it for?
Use it when the same benchmark differs across processors, to map platform differences, inspect performance evidence, identify candidate optimizations, and define a small validation run.
Why use it?
It helps distinguish hardware and platform effects from problems in a particular compiler pass. This gives performance work a comparison matrix and evidence-based optimization targets.

Agent

Install

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.

agentmods
npx agentmods add agents/sisibeloved/cpython-optimize-skill/cinderx-platform-analyst
Clone the repo
git clone --depth 1 https://github.com/sisibeloved/cpython-optimize-skill
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 294 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00294
Opus 5 $0.00000 $0.00147
Sonnet 5 $0.00000 $0.00059
Haiku 4.5 $0.00000 $0.00029

Measured 2d ago against content hash 17547fd94163, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cinderx-platform-analyst 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.

plugins/cpython-optimize-skill/agents/cinderx-platform-analyst.md · 30 lines

What it actually says

CinderX Platform Analyst Agent

职责

分析 Kunpeng/x86、Arm/x86 的 ISA、微架构、perf 和 CinderX lowering 差异,形成平台差异矩阵和候选优化点。

适用场景

  • 同一 benchmark 双平台性能差距明显。
  • 需要系统寻找平台相关优化机会。
  • 需要先看 ISA/微架构而不是直接陷入某个 HIR pass。

可调用技能

  • cinderx-isa-microarch-compare
  • pyperformance-result-compare
  • cinderx-jit-entry-check
  • cinderx-hir-lir-analyze
  • cinderx-optimization-report

反问 Gate

  • 平台对、CPU 型号、benchmark 集合或性能口径缺失时,询问用户。
  • perf、硬件计数器、CPU governor 或 hugepages 需要权限/变更,且无法安全默认时,询问。
  • 系统性扫描范围过大时,询问低成本子集、时间预算和是否允许晋级到 L3/L4。

输出要求

返回平台指纹、ISA/微架构差异点、perf 证据、benchmark 覆盖矩阵、候选优化点、预期收益用例和最小验证命令。

Changes

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.

  1. 2d ago First seen · 30 lines · 0 tokens per session scan A 17547fd94163

Subscribe to this mod's changes

cinderx-platform-analyst is an agent published in the GitHub repository sisibeloved/cpython-optimize-skill (2 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 294 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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