perf-check SKILL.md skillA

perf-check from ninjasln-labs/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ninjasln-labs/agent-skills/perf-check@v1.1.1

Pins v1.1.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ninjasln-labs/agent-skills
Path
perf-check/SKILL.md
Versions recorded
3
Latest version
v1.1.1, committed Oct 1, 2026
First version recorded
Oct 1, 2026
Size
7,298 bytes
Repository stars
3
License
none declared

Machine performance check: read-only sampling diagnosis of the dev machine's speed — memory pressure (MemAvailable gauge, swap thrash rate), CPU (load vs cores, utilization sampling), WSL2 resource tuning (cgroup ceilings, .wslconfig with autoMemoryReclaim advice), disk IO await per device, top CPU/memory processes, and macOS memory pressure (compressor gauge). Judgements follow the USE method; every threshold carries a basis tag (consensus vs heuristic). Read-only, tuning suggestions are…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Perf Check

Read-only performance diagnosis of the development machine: **"is it fast"**, where env-check answers "can it run". Judgement skeleton is Brendan Gregg's **USE method** (Utilization / Saturation / Errors per resource). Every threshold is pinned in the script and tagged with its basis: `consensus` (authoritative) or `heuristic` (experience line — WARN only, never conclusive alone). Tuning suggestions are **commands for the user**; nothing is executed, nothing is tuned.

## 中文速览(Quick Guide)

- **做什么**:只读性能体检(1.1 六维:内存压力/CPU/WSL2 资源配置/磁盘 IO await/TOP 进程/macOS 压力判读),每条判据带 basis 标注(consensus=权威共识/heuristic=经验线),USE 方法骨架。
- **何时用**:「机器怎么这么卡」「构建越跑越慢」「怀疑内存压力/swap 抖动」「WSL2 的 vmmem 是不是又吃爆了」。
- **核心步骤**:跑 `scripts/perf-check.py`(改过脚本先 `--selftest`)→ 读 WARN/FAIL(先看 basis=heuristic 的提示「需交叉验证」)→ 把 `suggest:` 命令**原样给用户确认执行**(本技能永不代调)→ 平台细节查 `references/`。
- **国内可达性边界**:全部本地采样(/proc、/sys、/mnt/c 只读),零依赖零网络;微软官方阈值与命令仅作文字引用。

## When to Use

- Machine feels slow, builds progressively slower, compile jobs stall.
- Suspected memory pressure / swap thrash; WSL2 vmmem size review or VM sizing.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ninjasln-labs/agent-skills/perf-check@sha256:48e3483e536b2c0a

The line at the top of this page pins the label v1.1.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_fd4cotn4tcsg3jwn.svg)](https://markdownregistry.com/a/art_fd4cotn4tcsg3jwn)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, all committed on Oct 1, 2026.

versioncommittedcommitsizeaudit
v1.1.1 latest2026-10-01 aa9ce7d 7,298 BA view · diff
v1.1.02026-10-01 d3dda57 7,298 BA view · diff
v1.0.02026-10-01 8450cc4 6,575 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7298 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ninjasln-labs/agent-skills · 3 stars · license none declared · pushed 2026-10-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_fd4cotn4tcsg3jwn
GET https://markdownregistry.com/api/v1/resolve?ref=ninjasln-labs/agent-skills/perf-check
GET https://markdownregistry.com/api/v1/blob/48e3483e536b2c0a0a7103f22f7a2fff2255a20360cc2be2f5ae7347bf558e5c

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in ninjasln-labs/agent-skills

Other files named perf-check

perf-check SKILL.md skill
josstei/maestro-orchestrate · plugins/maestro/skills/perf-check/SKILL.md · Run a Maestro-style performance assessment for hotspots, regressions, and optimization planning
git:20260410.f5a5165 · audit A · 486 stars
perf-check SKILL.md skill
josstei/maestro-orchestrate · claude/skills/perf-check/SKILL.md · Run a Maestro-style performance assessment for hotspots, regressions, and optimization planning
git:20260410.f5a5165 · audit A · 486 stars

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