performance-profiler SKILL.md skillA
performance-profiler from seaworld008/commonly-used-high-value-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add seaworld008/commonly-used-high-value-skills/performance-profiler@v1.0.2Pins v1.0.2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- seaworld008/commonly-used-high-value-skills
- Path
openclaw-skills/performance-profiler/SKILL.md- Versions recorded
- 5
- Latest version
- v1.0.2, committed Sep 22, 2026
- First version recorded
- Mar 8, 2026
- Size
- 12,357 bytes
- Repository stars
- 74
- License
- MIT
Profile Node.js, Python, or Go CPU, memory, I/O, and query bottlenecks; use flamegraphs and representative load tests to verify improvements.
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
# Performance Profiler **Tier:** POWERFUL **Category:** Engineering **Domain:** Performance Engineering --- ## Overview Systematic performance profiling for Node.js, Python, and Go applications. Identifies CPU, memory, and I/O bottlenecks; generates flamegraphs; analyzes bundle sizes; optimizes database queries; detects memory leaks; and runs load tests with k6 and Artillery. Always measures before and after. ## Core Capabilities - **CPU profiling** — flamegraphs for Node.js, py-spy for Python, pprof for Go - **Memory profiling** — heap snapshots, leak detection, GC pressure - **Bundle analysis** — webpack-bundle-analyzer, Next.js bundle analyzer - **Database optimization** — EXPLAIN ANALYZE, slow query log, N+1 detection - **Load testing** — k6 scripts, Artillery scenarios, ramp-up patterns - **Before/after measurement** — establish baseline, profile, optimize, verify --- ## When to Use - App is slow and you don't know where the bottleneck is - P99 latency exceeds SLA before a release - Memory usage grows over time (suspected leak) - Bundle size increased after adding dependencies - Preparing for a traffic spike (load test before launch) …
Read the whole file at its exact version.
How to install
mdr add seaworld008/commonly-used-high-value-skills/performance-profiler@sha256:9b7968fb055b9b7eThe line at the top of this page pins the label v1.0.2, 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.
[](https://markdownregistry.com/a/art_djklewktvzjzauhf)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Mar 8, 2026 and Sep 22, 2026, about one every 50 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.2 latest | 2026-09-22 | 983e4d8 | 12,357 B | A | view · diff |
| v1.0.1 | 2026-09-06 | e36bbe4 | 12,313 B | A | view · diff |
| v1.0.0 | 2026-06-29 | f17e969 | 16,716 B | A | view · diff |
| v1.0.0 | 2026-03-27 | 0b34652 | 16,625 B | A | view · diff |
| git:20260308.99bcec4 | 2026-03-08 | 99bcec4 | 16,413 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12357 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
seaworld008/commonly-used-high-value-skills · 74 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_djklewktvzjzauhf GET https://markdownregistry.com/api/v1/resolve?ref=seaworld008/commonly-used-high-value-skills/performance-profiler GET https://markdownregistry.com/api/v1/blob/9b7968fb055b9b7e9a18c9f36e9e7537551a32cd4374990739ee9028148a694a
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.
More from seaworld008/commonly-used-high-value-skills
Every file in seaworld008/commonly-used-high-value-skills