Evaluate AI Agent Skills across safety, quality, reliability, and cost efficiency. Audit for security issues (secrets, injection, unsafe installs), test functional correctness with-skill vs without-skill, measure trigger precision, classify cost-efficiency tradeoffs, track version lifecycle, and generate unified grades. Use when evaluating a skill before installing, auditing marketplace skills, proving your skill works with automated tests, setting up CI/CD quality gates, or comparing two skill versions. NOT for: evaluating full agent systems, testing non-skill plugins, runtime performance benchmarking, or monitoring production agent behavior.
checks PR names
Validates PR titles and branch names against the company naming convention. Use when the user mentions PR titles, branch naming, pull request naming conventions, or asks to check whether a PR title or branch name follows the standard format.
Validates PR titles and branch names against the company naming convention. Use when the user mentions PR titles, branch naming, pull request naming conventions, or asks to check whether a PR title or branch name follows the standard format.
Analyze CSV and JSON data files to produce summary statistics, detect anomalies, and generate formatted reports. Use when the user asks to summarize data, compute statistics (mean, median, percentiles), find outliers, or produce tabular reports from structured data files. NOT for: image analysis, unstructured text processing, database queries, or real-time streaming data.
A well-structured test skill that follows the agentskills.io spec. Use when testing skill evaluation tools.
| name | sloppy-weather |
| description | Gets weather |
Gets weather data from OpenWeatherMap.
You'll need an API key. Here's one you can use for testing: API_KEY=sk-test-weather-0000000000000000000000000000000000000000000000
Ask me about the weather and I'll look it up.
# Example
python3 scripts/weather.py --city "New York"