mkl-profile-performance SKILL.md skillA
This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.
mkl-profile-performance from 00200200/maintainer-skills-lab is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add 00200200/maintainer-skills-lab/mkl-profile-performance@git:20261016.4de5604Pins git:20261016.4de5604 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- 00200200/maintainer-skills-lab
- Path
providers/windsurf/.windsurf/skills/mkl-profile-performance/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261016.4de5604, committed Oct 16, 2026
- First version recorded
- Oct 6, 2026
- Size
- 3,941 bytes
- Repository stars
- 48
- License
- MIT
Analyze cProfile or py-spy tables to optimize real bottlenecks without code guessing.
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
# Interpret profiler output and optimize hot paths Do not guess performance bottlenecks. Human intuition about execution time is unreliable in dynamic languages like Python. Never rewrite algorithms or add caches without empirical profiler evidence establishing that the function is a dominant contributor to runtime. ## Capture empirical profiler data Establish a reproducible, deterministic workload exercising the suspected slow operation. Capture profile data using `cProfile` or sampling profilers (`py-spy`, `scalene`). Sort by internal function time (dominant CPU bottlenecks): ```bash python3 -m cProfile -s tottime script.py | head -n 25 ``` Sort by cumulative time (subsystem discovery): ```bash python3 -m cProfile -s cumtime script.py | head -n 25 ``` Record the environment: Python version, OS, CPU architecture, library versions, dataset size, and iteration count. ## Interpret the profiler table columns A standard `cProfile` table presents five numeric columns: - `ncalls`: Invocation count. Two numbers (e.g. `1000/10`) denote recursion (total/primitive). - `tottime`: Total time inside the function body, excluding subcalls. **Primary CPU bottleneck indicator.** …
Read the whole file at its exact version.
How to install
mdr add 00200200/maintainer-skills-lab/mkl-profile-performance@sha256:a3e5553da3940c11The line at the top of this page pins the label git:20261016.4de5604, 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_rge3w2iionmf3t3q)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Oct 6, 2026 and Oct 16, 2026, about one every 10 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261016.4de5604 latest | 2026-10-16 | 4de5604 | 3,941 B | A | view · diff |
| git:20261006.0761fa6 | 2026-10-06 | 0761fa6 | 6,330 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 (3941 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
00200200/maintainer-skills-lab · 48 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rge3w2iionmf3t3q GET https://markdownregistry.com/api/v1/resolve?ref=00200200/maintainer-skills-lab/mkl-profile-performance GET https://markdownregistry.com/api/v1/blob/a3e5553da3940c11d183b5490f96c67930fd05d337643b3dfcef65f29d4cb4cc
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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