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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.

72

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is trellis-check in mindfold-ai/Trellis

SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

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

A well-engineered verification workflow: lean, sequential, with explicit validation and fix-vs-escalate decision rules. The only notable gaps are the placeholder grep pattern and the unspecified way to discover project check commands, plus a body length that could shed the cross-layer checklists to a reference file.

DimensionReasoningScore

Conciseness

The body is lean checklists and commands with no padding or explanations of concepts Claude already knows — e.g. 'the index is a pointer, not the goal' and 'Skip this step if your change is confined to a single layer' assume competence and every token earns its place, matching the score-5 anchor.

5 / 5

Actionability

It provides executable commands ('git diff --name-only HEAD', 'python3 ./.trellis/scripts/get_context.py --mode packages', 'cat .trellis/spec/<package>/<layer>/index.md') and concrete fix decision rules, but Step 3 ('Run the project's lint, type-check, and test commands') gives no guidance on discovering those commands and the grep example is a placeholder — minor gaps consistent with the score-4 anchor rather than fully copy-paste-ready 5.

4 / 5

Workflow Clarity

Steps 1–6 are clearly sequenced with explicit validation checkpoints ('Fix any failures before proceeding'), a feedback loop (fix in place, then 're-run project checks'), a conditional skip rule, and checklists for a complex process — matching the score-5 anchor including error-recovery loops.

5 / 5

Progressive Disclosure

The body is well-sectioned with clear headers and one-level pointers (spec index files), but at ~107 lines it exceeds the under-50-line simple-skill case and sections like the Cross-Layer dimension checklists could reasonably live in separate reference files — fitting the 'good structure, minor organization gaps' anchor rather than the cleanly split score-5 structure.

4 / 5

Total

18

/

20

Passed

Description

88%Weight 40%Scale 1-5

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 that clearly states both capability set and usage triggers in third-person imperative voice. Its main weaknesses are a mild buzzword opener ('Comprehensive') and trigger coverage that omits common user synonyms like 'code review' or 'run checks'.

DimensionReasoningScore

Specificity

The description enumerates multiple concrete verification actions — 'spec compliance, lint, type-check, tests, cross-layer data flow, code reuse, and consistency checks' — giving comprehensive coverage of the skill's domain, matching the score-5 anchor rather than the 'minor gaps' of score 4.

5 / 5

Completeness

It explicitly answers both what ('Comprehensive quality verification: spec compliance, lint, type-check, tests, cross-layer data flow, code reuse, and consistency checks') and when ('Use when code is written and needs quality verification, before committing changes, or to catch context drift during long sessions') with three concrete trigger phrases, matching the score-5 anchor exactly.

5 / 5

Trigger Term Quality

It includes good natural trigger phrases such as 'quality verification', 'before committing changes', and 'code is written', but misses common synonyms users would naturally say like 'code review', 'run the checks', or 'pre-commit', so it fits the 'a few natural terms missing' anchor rather than the comprehensive synonym coverage of 5.

4 / 5

Distinctiveness Conflict Risk

The spec-compliance and cross-layer framing gives it a mostly distinct niche, but the generic 'quality verification' phrasing creates minor overlap risk with code-review and lint-checking skills, fitting the 'minor overlap risk with closely related skills' anchor rather than the minimal-conflict score of 5.

4 / 5

Total

18

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
mindfold-ai/Trellis
Reviewed

Table of Contents

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