performance-review SKILL.md skillA

performance-review from athola/claude-night-market is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add athola/claude-night-market/performance-review@git:20260921.ad5ceb4

Pins git:20260921.ad5ceb4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
athola/claude-night-market
Path
plugins/pensive/skills/performance-review/SKILL.md
Versions recorded
6
Latest version
git:20260921.ad5ceb4, committed Sep 21, 2026
First version recorded
Jul 13, 2026
Size
10,949 bytes
Repository stars
342
License
MIT

Detects time and space complexity hotspots via AST scan. Use when code feels slow, before performance-sensitive merges, or to find O(n²) regressions.

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 Review

Static-analysis review of time and space complexity hotspots.

The skill runs in three escalating tiers. Tier 1 uses Python's
stdlib `ast` and always runs. Tier 2 uses gauntlet's tree-sitter
parser to extend detection across languages when gauntlet is
installed. Tier 3 uses the gauntlet code graph to upgrade
severity when hotspots reach other hotspots transitively. If
gauntlet is missing, Tiers 2 and 3 no-op and Tier 1 still
produces useful findings on Python source.

## Quick Start

```bash
/performance-review                  # scan changed files
/performance-review path/to/file.py  # scan one file
/performance-review --tier 1         # force Tier 1 only
```

Programmatic use:

```python
from pensive.skills.performance_review import PerformanceReviewSkill

skill = PerformanceReviewSkill()
result = skill.analyze(context, "src/module.py")
for f in result.issues:
    print(f"[{f.severity}] {f.file}:{f.line} {f.message}")
```

## When To Use

- Pre-merge review of code that runs on user-scaled inputs.
- Triage of a function that "feels slow" before reaching for a
  profiler.
- Audit a refactor for newly introduced O(n²) patterns.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add athola/claude-night-market/performance-review@sha256:748df98754e691dc

The line at the top of this page pins the label git:20260921.ad5ceb4, 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_gkz7yujonzf3ut4y.svg)](https://markdownregistry.com/a/art_gkz7yujonzf3ut4y)

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

Versions

The registry has recorded 6 versions of this file, between Jul 13, 2026 and Sep 21, 2026, about one every 14 days.

versioncommittedcommitsizeaudit
git:20260921.ad5ceb4 latest2026-09-21 ad5ceb4 10,949 BA view · diff
git:20260902.4a35d692026-09-02 4a35d69 10,995 BA view · diff
git:20260902.10cb1662026-09-02 10cb166 11,370 BA view · diff
git:20260813.0bee82e2026-08-13 0bee82e 11,619 BA view · diff
git:20260803.e1cdc1b2026-08-03 e1cdc1b 11,633 BA view · diff
git:20260713.f98719b2026-07-13 f98719b 11,590 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 (10949 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

athola/claude-night-market · 342 stars · license MIT · pushed 2026-10-16 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_gkz7yujonzf3ut4y
GET https://markdownregistry.com/api/v1/resolve?ref=athola/claude-night-market/performance-review
GET https://markdownregistry.com/api/v1/blob/748df98754e691dc3bdf732b33084409e9a2e4db7c76c9d35d70bde321a252be

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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