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AI DevKit · Track dev-lifecycle / structured-debug progress on a durable task with the ai-devkit task CLI. Use to record phase, progress, next step, blockers, and validation evidence.

74

Quality

91%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

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

A tight, highly actionable skill body: executable commands, explicit validation checkpoints, and clean section organization, with no wasted tokens on concepts Claude already knows.

DimensionReasoningScore

Conciseness

The body is lean and assumes competence — concrete commands and skill-specific conventions (e.g. the snapshot-clobbering caveat) rather than explanations of basics Claude already knows, so it sits at the 'every token earns its place' anchor rather than the 'mostly efficient' score-2 anchor.

3 / 3

Actionability

Canonical commands are fully executable and copy-paste ready with all flags spelled out (create/assign/status/phase/progress/next/evidence/artifact/close), matching the 'fully executable; specific examples' anchor.

3 / 3

Workflow Clarity

Sequencing is explicit with validation checkpoints — the read probe gate ('Only treat task tracing as available when the read probe exits 0'), the do-not-guess identity fallback, and read-back with 'show --events --json' — satisfying the clear-sequence-with-explicit-validation anchor.

3 / 3

Progressive Disclosure

A single self-contained file with no bundle files to reference, organized into clear sections (Core idea, Identify self, Canonical commands, When to emit, Tips); per the simple-skill note, well-organized sections with no needed external references score 3.

3 / 3

Total

12

/

12

Passed

Description

82%Weight 40%Scale 1-3

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 specific, well-scoped description with concrete actions and natural trigger terms, but it describes what the skill does without an explicit 'Use when...' clause, capping completeness at 2.

Suggestions

Add an explicit trigger clause, e.g. 'Use when working on a durable multi-step task and needing to record dev-lifecycle or structured-debug progress, blockers, or validation evidence.'

Lead with the user-facing action ("Track...") before the product prefix 'AI DevKit ·' so the trigger reads naturally in skill listings.

Consider mirroring common phrasings a user would say (e.g. 'task progress', 'dev task tracking') to broaden natural trigger coverage.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "record phase, progress, next step, blockers, and validation evidence" — and names the ai-devkit task CLI, matching the 'lists multiple specific concrete actions' anchor rather than the partial score-2 anchor.

3 / 3

Completeness

It clearly answers 'what' (track/record those fields via the task CLI) but lacks an explicit 'Use when...' trigger, so per the guideline a missing trigger clause caps completeness at 2 rather than 3.

2 / 3

Trigger Term Quality

Natural domain terms a developer would say are well covered ("dev-lifecycle", "structured-debug", "progress", "blockers", "next step", "validation evidence"), so it exceeds the 'some relevant keywords but missing variations' anchor.

3 / 3

Distinctiveness Conflict Risk

The ai-devkit task CLI scoped to dev-lifecycle/structured-debug tracking is a clear niche with distinct triggers, unlikely to fire for unrelated skills.

3 / 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
codeaholicguy/ai-devkit
Reviewed

Table of Contents

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