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trellis-check

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.

77

Quality

96%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is lean, actionable, and well-sequenced with validation checkpoints and a fix/re-run feedback loop. It appropriately stays self-contained given no bundle files are present.

DimensionReasoningScore

Conciseness

Lean checklists and concrete commands with no padding or explanation of concepts Claude already knows; every section earns its tokens, matching the lean/efficient anchor rather than the score-2 "could be tightened" level.

3 / 3

Actionability

Provides executable commands throughout (git diff, python3 get_context.py, cat, grep -r) and concrete checkboxes; only Step 3 is intentionally project-generic, so it meets the copy-paste-ready bar rather than the pseudocode score-2 anchor.

3 / 3

Workflow Clarity

Clear 6-step sequence with a fix-before-proceeding checkpoint in Step 3 and an explicit re-run-after-fix feedback loop in Step 6, plus conditional gating in Step 5; this matches the explicit-validation/checklist anchor.

3 / 3

Progressive Disclosure

No bundle files exist, and the single SKILL.md is well-organized into clearly signaled sections; the only pointers (`.trellis/spec/.../index.md`) are one level deep and explicitly framed as pointers, satisfying the well-organized single-file anchor.

3 / 3

Total

12

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12

Passed

Description

92%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: concrete action list, explicit "Use when" triggers, and third-person voice. The main weakness is the generic "comprehensive quality verification" framing, which risks overlap with other code-review skills.

Suggestions

Lead with the distinguishing feature (e.g., the `.trellis` spec-driven workflow) to reduce conflict with generic code-review skills.

Add a tie-breaker trigger term like "spec sync" or "cross-layer check" that only this skill would naturally match.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "spec compliance, lint, type-check, tests, cross-layer data flow, code reuse, and consistency checks" — matching the multiple-specific-actions anchor; not the vague score-2 level which names only some actions.

3 / 3

Completeness

Explicitly answers both what (the verification list) and when (explicit "Use when..." clause), matching the top anchor; the score-2 anchor lacks an explicit when trigger.

3 / 3

Trigger Term Quality

The "Use when code is written and needs quality verification, before committing changes, or to catch context drift during long sessions" clause supplies natural phrasings a user would say; better than the score-2 "some keywords" anchor.

3 / 3

Distinctiveness Conflict Risk

The lead phrase "Comprehensive quality verification" is broad and could overlap with general code-review/QA skills, even though the spec-compliance and cross-layer framing adds some niche; not clearly as distinctive as the score-3 anchor.

2 / 3

Total

11

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
mindfold-ai/Trellis
Reviewed

Table of Contents

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