Skip to content
SkillCheatSheet Sign in

click-path-audit

An AI agent skill from affaan-m/ECC, scored 62 out of 100 by code.

62/ 100C

Code score by group

  • Spec20/20
  • Description10/20
  • Procedure7/15
  • Done criteria4/15
  • Resources10/10
  • Scripts5/8
  • Safety3/7
  • Upkeep3/5

It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
affaan-m/ECC
Folder
skills/click-path-audit
License
MIT
GitHub stars
301,615
SKILL.md lines
246
Other files
0

Add click-path-audit to your agent

npx skills add affaan-m/ECC --skill click-path-audit

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

More skills from affaan-m/ECC

  1. frontend-design-direction

    Set an ECC-specific frontend design direction for production UI work. Use when building or improving websites, dashboards, applications, components, landing pages, visual tools, o…

    Verified85A
  2. prompt-optimizer

    Analyze draft prompts, detect intent and missing context, match ECC commands, skills, and agents, and output a ready-to-paste optimized prompt with diagnosis and rationale — advis…

    Verified85A
  3. ui-demo

    Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM vide…

    Verified85A
  4. prompt-caching-strategy

    Optimize LLM prompt caching hit rate to reduce API costs and improve latency. Analyzes prompt structure, identifies cacheable vs non-cacheable content, and recommends restructurin…

    Verified84B
  5. loop-design-check

    Design a goal-oriented agent loop or review one for failure modes: spinning, Goodhart-gaming the verifier, or running a wrong answer to completion. Covers machine-decidable goals,…

    Verified80B
  6. plan-orchestrate

    Read a plan document, decompose it into steps, classify each step, and emit the ready-to-paste ECC slash command for that step, carrying the step identifier and scope in the comma…

    79B
  7. data-scraper-agent

    Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free…

    78B
  8. accessibility

    Design, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android — semantic ARIA roles and labels, accessibility traits and hints, focus management, co…

    77B

All skills in affaan-m/ECC

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.