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agent-skill-deploy

Deploys agent skill collections from any GitHub repository with a /skills folder to one or more distribution surfaces: GitHub releases, Claude Code marketplace, VS Code plugin marketplace, and Copilot CLI plugin marketplace. Handles pre-flight validation, conventional commit analysis, version bumping across surface configs, and surface-specific publishing with dry-run support. Use when releasing, publishing, or deploying a skills collection to any supported marketplace or creating a GitHub release for a skills repository. Don't use for deploying non-skill packages, npm modules, Docker images, or Azure resources.

70

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is agent-skill-deploy in webmaxru/ai-native-dev

SKILL.md
Quality
Evals
Security

Quality

Content

77%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.

The body delivers an exceptionally actionable, well-guarded deployment workflow — copy-paste commands, dry-run, and explicit approval gates before irreversible operations. Its weaknesses are duplication (script and version-rule descriptions repeated across sections) and a broken progressive-disclosure pattern: references/surfaces.md exists but is never linked from the body, whose inlined details duplicate it.

Suggestions

Link references/surfaces.md from the 'Supported Surfaces' section (e.g., 'See references/surfaces.md for per-surface config schemas and detection rules') and drop the inlined version-semantics detail that the reference file already covers.

Deduplicate script descriptions: keep one-line summaries in 'Bundled Scripts' and let Steps 1, 2, and 5 state only what to run and the decision each output drives, removing the repeated behavior lists.

Replace the fragile `echo '{{CHANGELOG}}' > /tmp/release-notes.md` with a safer multi-line write (e.g., a heredoc or Write tool) so Markdown changelogs with quotes and blank lines survive shell escaping.

DimensionReasoningScore

Conciseness

The body is mostly efficient — no concept teaching, dense tables and commands — but carries real duplication: each script's behavior is described in 'Bundled Scripts' and again in Steps 1, 2, and 5, and the marketplace version semantics appear in both 'Version Handling Rules' and again in Step 5's file-by-file list (and yet again in references/surfaces.md). This matches anchor 3 ('mostly efficient but could be tightened') rather than anchor 4, where over-explanation would be only minor; it is not anchor 2 since there is no padding or explanation of things Claude already knows.

3 / 5

Actionability

Guidance is fully executable throughout: exact script invocations with example arguments (`node scripts/deploy-execute.mjs 1.2.0 --surfaces github,claude-code --dry-run`), concrete git/gh commands, per-skill `git diff v{{PREVIOUS}}..HEAD -- skills/{{SKILL_NAME}}/` commands, filled-in AskUserQuestion templates with placeholder-computation instructions, and a concrete undo command (`git reset --hard HEAD~1 && git tag -d v{{VERSION}}`). This matches anchor 5 (copy-paste ready commands covering common cases); all referenced scripts exist in scripts/.

5 / 5

Workflow Clarity

The nine steps are strictly sequenced with 'Stop immediately if any step fails', and the irreversible-operation risk (push/tag/release) is well guarded: preflight validation, dry-run checkpoint, two AskUserQuestion approval gates before push, 'verify all files were updated correctly by reading them back', plus an Error Handling section with per-failure recovery and a dry-run-divergence check. This matches anchor 5 (explicit validation steps, feedback loops, error recovery) rather than anchor 4, which allows minor validation gaps.

5 / 5

Progressive Disclosure

The bundle contains references/surfaces.md with detailed per-surface config requirements, but the body never references or links to it — it instead inlines a surfaces table and the full version-handling semantics that surfaces.md already covers, so the reference file is orphaned and its content duplicated. Scripts are clearly signaled and exist, and structure is good, matching anchor 3 ('references present but not clearly signaled; content that should be separate is inline') rather than anchor 4, where references would be mostly clear and content mostly placed in the right file.

3 / 5

Total

16

/

20

Passed

Description

92%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: third-person, concrete, comprehensive on capabilities, with an explicit 'Use when' clause and negative boundary guidance that sharply reduces mis-triggering. The only gap is a handful of natural trigger synonyms that would push trigger-term coverage from good to comprehensive.

DimensionReasoningScore

Specificity

The description names the domain ("agent skill collections from any GitHub repository with a /skills folder") and lists multiple concrete actions — "pre-flight validation, conventional commit analysis, version bumping across surface configs, and surface-specific publishing with dry-run support" — plus all four named distribution surfaces, giving comprehensive coverage. It exceeds the anchor-4 example ('several specific actions; minor gaps') because no meaningful capability of the workflow is left unenumerated.

5 / 5

Completeness

Both questions are explicitly answered: the 'what' is the full action list across four named surfaces, and the 'when' is a concrete 'Use when releasing, publishing, or deploying a skills collection... or creating a GitHub release' clause, reinforced by explicit negative triggers ("Don't use for... npm modules, Docker images, or Azure resources"). This matches anchor 5 (clear what AND when with concrete trigger phrases), not anchor 4 where the 'when' is only loosely specified.

5 / 5

Trigger Term Quality

Natural trigger phrases are well covered: "releasing, publishing, or deploying", "any supported marketplace", "creating a GitHub release", matching how users actually phrase these requests. A few natural variants are missing (e.g., "ship", "bump the version", "push to marketplace"), so it falls just short of the comprehensive synonym coverage of anchor 5 but clearly above anchor 3's 'missing common variations'.

4 / 5

Distinctiveness Conflict Risk

It carves out a clear niche — skill collections with a /skills folder deployed to marketplaces/GitHub releases — and the explicit exclusion list (non-skill packages, npm, Docker, Azure) minimizes overlap with generic deploy/release skills. Minimal conflict risk, matching anchor 5.

5 / 5

Total

19

/

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
webmaxru/web-ai-agent-skills
Reviewed

Table of Contents

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