hoangnguyen0403/skill-benchmark
Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.
npx skills add https://github.com/HoangNguyen0403/agent-skills-standard --skill skill-benchmark
> [!IMPORTANT]
> Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.
Optional args: slug=<feature>, ticket=<id/url>, mode=interactive|autonomous|channel, channel=<id>, auto_continue=true|false, profile=business|hybrid|technical.
When the user asks to perform this workflow, execute the following steps:
> Goal: Quantify how much active skills improve implementation quality. Deliver a prioritized compliance delta and skill applicability report.
Identify the tech stack and all active skills in AGENTS.md.
# 1. Total source files and lines changed
find src -name "*.ts" -o -name "*.tsx" | xargs wc -l 2>/dev/null | sort -rn | head -20
# 2. Check active skill registry
cat AGENTS.md | head -80
Pick the file automatically. Rank candidates by the severity of anti-patterns:
Source your scorecard from evals/evals.json, not from hardcoded patterns.
Follow the Scorecard Rubric in <SKILLS>/common/common-skill-creator/references/benchmark.md when synced:
<SKILLS>/<category>/<skill>/evals/evals.json.pressure_scenarios, rationalizations, red_flags, and behavior_assertions.Output the scorecard and compliant score using the templates in <SKILLS>/common/common-skill-creator/references/benchmark.md when synced.
For every ❌ FAIL, identify the root cause using the Iteration Table in:
<SKILLS>/common/common-skill-creator/references/benchmark.md when synced.
Recommend any skills that are noisy or non-applicable for the project.
exclude:
- [skill-id] # reason
Take hoangnguyen0403/skill-benchmark from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.