Individual skill
performance-audit
Systematic performance investigation workflow. Use when performance regressions are suspected, before and after optimisation work, or as a pre-release gate for performance-critical features. Produces a baseline, identifies the real bottleneck, and validates improvement with hard numbers.
plugins/RBraga01/a-team/skills/performance-audit/SKILL.md
Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,531
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-coding Repository topic
- awesome Repository topic
- awesome-list Repository topic
- codex Repository topic
- codex-plugins Repository topic
- openai Repository topic
- codex-skill Repository topic
- codex-skills Repository topic
- marketplace Repository topic
- codex-marketplace Repository topic
- operations Derived category
- security Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# Performance Audit
## The Law
```
A PERFORMANCE CLAIM WITHOUT NUMBERS IS AN OPINION.
"I think it's faster" is not a result.
"p95 latency dropped from 480ms to 42ms on a 1000-item dataset" is a result.
```
## When to Use
- Before any optimisation work (establish baseline first)
- When a performance regression is reported