detecting-performance-regressions

Compare current benchmark results against historical baselines to spot performance regressions.

IndexedMIT★ 3,764

Chalk Labs

Need help deploying detecting-performance-regressions?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/foryourhealth111-pixel-detecting-performance-regressions

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

About

Compare current benchmark results against historical baselines to spot performance regressions. Use as an explicit/manual helper for build-to-build degradation review, not for broad optimization strategy or low-level profiling ownership.

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools: No tools found
Secrets: None asked for
Install scripts: None found
Runs as: Python package

Network hosts it talks to 1

codeload.github.com · found in install command

Files it touches

~/.claude/skills/detecting-performance-regressions

Tools it pre-approves 8

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

Read,
Write,
Edit,
Grep,
Glob,
Bash(ci:*),
Bash(metrics:*),
Bash(testing:*)

What's inside

Skill name: detecting-performance-regressions
Description: Compare current benchmark results against historical baselines to spot performance regressions. Use as an explicit/manual helper for build-to-build degradation review, not for broad optimization strategy or low-level profiling ownership.
License: MIT
Allowed tools: Read,, Write,, Edit,, Grep,, Glob,, Bash(ci:*),, Bash(metrics:*),, Bash(testing:*)
Instructions: 30 lines in SKILL.md · view on GitHub

Before installing

Ships executable scripts
Pre-approves some shell commands

Files (7)

SKILL.md
README.md · assets/
README.md · references/
README.md · scripts/
analyze_metrics.py · scripts/
create_github_comment.py · scripts/
generate_report.py · scripts/

SKILL.md (first lines)

# Performance Regression Detector

## Positioning

Treat this skill as an explicit/manual helper for benchmark comparison work.

## When to Use

Use this skill when:
- Identify performance regressions in a CI/CD pipeline.
- Analyze performance metrics for potential degradation.
- Compare current performance against historical baselines.

## Not For / Boundaries

- Broad optimization roadmap or tuning backlog: use `providing-performance-optimization-advice`
- Root-cause debugging of a specific slow path: use `systematic-debugging`
- General test artifact packaging without regression judgment: use `generating-test-reports`

## Typical Outputs

- A baseline-vs-current regression summary
- Severity-ranked regressed metrics
- Follow-up questions for deeper profiling or investigation

## Related Skills

- `performance-testing` for benchmark generation
- `providing-performance-optimization-advice` after the regression is confirmed

From foryourhealth111-pixel/Vibe-Skills, MIT.

Signals

Stars: 3,764
Forks: 341
Open issues: 36
Last commit (this folder): Apr 18, 2026 (6 months ago)
Last release: Oct 18, 2026 (26 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/foryourhealth111-pixel/Vibe-Skills
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped: 50+; launches shipped
media placements: 500+; media placements
founders on every account: 2; founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get detecting-performance-regressions running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Need help deploying detecting-performance-regressions?

Call Get help

Cite this page

detecting-performance-regressions skill. Agent Mart. https://agentmart.dev/skills/foryourhealth111-pixel-detecting-performance-regressions (last updated 2026-10-24)