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Check Tests Evidence

Runs a local test-evidence check and keeps source paths in its results

Source Download skill
Repository
rohitg00/ai-engineering-from-scratch
Stars
76,331
Licence
MIT
Files
2 files

What it does

This skill tells an AI agent to run a local check that looks for test evidence and to report results with the source file paths included. If evidence is missing, the agent is instructed to stop rather than continue as if the tests passed. It is a short instruction file, so its behaviour depends on what the agent already knows about running tests in your project.

Great for

  • Developers who want an agent to confirm that code changes are backed by tests before moving on
  • Teams using an agent-driven review step that needs traceable references to source files

Skip it if

  • Projects that need a full test suite run with specific tooling, since the skill does not define any commands or frameworks (the agent must work that out itself)
  • Anyone expecting it to fetch or verify results from a CI service, because the skill only describes a local check

Try asking

  • “Check whether the tests for my recent changes exist and stop if they don't”
  • “Run the local test evidence check and list the source paths for each result”
  • “Confirm test evidence before I merge this branch”
Step-by-step guide: how to use Check Tests EvidenceInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 2 original files, the MIT licence and an attribution note.

    check-tests.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip check-tests.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip check-tests.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • The skill names no specific test command, so say which command or framework your project uses when you invoke it
  • Review what the agent actually runs before approving shell commands, since the instructions leave the method open

What's inside

  • routing.json
  • SKILL.md

Redistributed unmodified from rohitg00/ai-engineering-from-scratch under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.