Skills

Trellis Check

Comprehensive quality verification: spec compliance, lint, type-check, tests...

Install

npx skills add mindfold-ai/Trellis --skill trellis-check -g -a claude-code -y
Repository
mindfold-ai/Trellis15.1k
Category
Testing
Updated
1mo ago
License
AGPL-3.0
Context cost
Lightabout 855 tokens
Runs scripts
No, instructions only

What it does

Comprehensive quality verification: spec compliance, lint, type-check, tests, cross-layer data flow, code reuse, and consistency checks. Use when code is written and needs quality verification, before committing changes, or to catch context drift during long sessions.

Code Quality Check

Comprehensive quality verification for recently written code. Combines spec compliance, cross-layer safety, and pre-commit checks.


Step 1: Identify What Changed

git diff --name-only HEAD
git status

Step 2: Read Task Artifacts and Applicable Specs

Read the current task artifacts in order:

  • prd.md
  • design.md if present
  • implement.md if present
python3 ./.trellis/scripts/get_context.py --mode packages

For each changed package/layer, read the spec index and follow its Quality Check section:

cat .trellis/spec/<package>/<layer>/index.md

Read the specific guideline files referenced, the index is a pointer, not the goal.

Step 3: Run Project Checks

Run the project's lint, type-check, and test commands. Fix any failures before proceeding.

Step 4: Review Against Checklist

Code Quality

  • Linter passes?
  • Type checker passes (if applicable)?
  • Tests pass?
  • No debug logging left in?
  • No suppressed warnings or type-safety bypasses?

Test Coverage

  • New function → unit test added?
  • Bug fix → regression test added?
  • Changed behavior → existing tests updated?

Spec Sync

  • Does .trellis/spec/ need updates? (new patterns, conventions, lessons learned)

"If I fixed a bug or discovered something non-obvious, should I document it so future me won't hit the same issue?" → If YES, update the relevant spec doc.

Scope Discipline

  • Any tidying of code the task did not require?
  • Any abstraction, config or extension point added for a case that does not exist yet?
  • Any speculative fallback for a state that cannot occur?
  • Any file changed that the acceptance criteria do not mention?
  • Any workaround added at the caller instead of a fix where the behavior actually lives?

Step 5: Cross-Layer Dimensions (if applicable)

Skip this step if your change is confined to a single layer.

Read the whole SKILL.md on GitHub

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