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github-agentic-workflows

Authors, reviews, installs, and debugs GitHub Agentic Workflows in repositories, including workflow markdown, frontmatter, gh aw compile and run flows, safe outputs, security guardrails, and operational patterns. Use when creating or maintaining GH-AW automation. Don't use for standard deterministic GitHub Actions YAML, generic CI pipelines, or non-GitHub automation systems.

77

Quality

96%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

92%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 highly actionable, well-structured procedural skill with concrete commands, explicit validation checkpoints, and clean progressive disclosure to verified reference files. Its only weakness is volume — some step lists could be tightened.

Suggestions

Consolidate Step 3's 18 substeps into grouped themes (triggers/permissions, engine, network, compile hygiene) to reduce scan cost.

Consider moving the engine-selection detail (Step 3.8) into references/authoring.md and keeping only the default rule inline.

A few Error Handling bullets repeat guidance from the procedures; cross-reference instead of restating to save tokens.

DimensionReasoningScore

Conciseness

Dense, directive content with no concept-padding Claude already knows, but the volume is high (six steps, ~75 substeps) and a few steps (e.g. Step 3's 18 items) could be consolidated without losing clarity.

4 / 5

Actionability

Provides fully executable, copy-paste-ready commands throughout ('gh aw validate --strict', 'gh aw trial ./.github/workflows/<name>.md', 'gh aw secrets bootstrap') with specific frontmatter fields and behaviors.

5 / 5

Workflow Clarity

Six clearly sequenced steps with explicit validation checkpoints ('validate --strict before treating a workflow as ready', 'compile after validation succeeds') and a dedicated Error Handling section with feedback loops for compile, auth, and trial failures.

5 / 5

Progressive Disclosure

SKILL.md is an overview with well-signaled, one-level-deep references to real files (references/authoring.md, examples.md, security-and-operations.md, troubleshooting.md, assets/workflow.template.md, scripts/find-gh-aw-targets.mjs), each cited at the point of need.

5 / 5

Total

19

/

20

Passed

Description

100%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 tight, third-person description that concretely names capabilities, gives an explicit 'Use when' trigger, and draws clear boundaries against adjacent skills. No fluff or over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('Authors, reviews, installs, and debugs') plus comprehensive sub-areas (workflow markdown, frontmatter, compile/run flows, safe outputs, security guardrails, operational patterns).

5 / 5

Completeness

Explicitly answers both what (authors/reviews/installs/debugs GH-AW) and when ('Use when creating or maintaining GH-AW automation'), with concrete negative-boundary guidance.

5 / 5

Trigger Term Quality

Covers natural terms and synonyms a user would say — 'GitHub Agentic Workflows', 'GH-AW automation', 'GitHub Actions YAML', 'CI pipelines' — with good variation.

5 / 5

Distinctiveness Conflict Risk

Clear niche with explicit exclusions ('Don't use for standard deterministic GitHub Actions YAML, generic CI pipelines, or non-GitHub automation systems') minimizing conflict risk.

5 / 5

Total

20

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
webmaxru/ai-native-dev
Reviewed

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