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forgejo-advisory-review

Step-by-step procedure for producing ONE advisory COMMENT review on a Forgejo pull request — clone at the head sha, fetch the diff, apply general and language review criteria, post a single Reviews-API review with inline comments, recover from 422s, then verify and close the kanban card. Use when a kanban card assigns an advisory PR review on git.home.claydon.co.

73

Quality

92%

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 well-sequenced, executable runbook with concrete commands, a worked example, and strong validation/feedback loops for the outward-facing review-posting operation. It is concise without sacrificing actionability and is cleanly sectioned.

DimensionReasoningScore

Conciseness

Largely lean and procedural with no padding about concepts Claude already knows; a few framing sentences (e.g. 'The whole job is…') and the rationale asides could be trimmed slightly, keeping it just under the top anchor.

4 / 5

Actionability

Provides fully executable, copy-paste-ready commands (git clone/fetch/checkout, curl GET/POST) plus a worked JSON review example with concrete line numbers — directly actionable guidance covering the common cases.

5 / 5

Workflow Clarity

An 8-step sequenced workflow with explicit validation checkpoints: head-sha mismatch is noted, clone/diff failures block the card, a 422-recovery feedback loop with up-to-3 retries, and a hard gate ('You MUST NOT call kanban_complete unless this check passes').

5 / 5

Progressive Disclosure

No bundle files exist, so it is scored against its own structure; the body is organized into clearly numbered sections and language-reviewer detail is delegated one level deep to $HERMES_HOME/skills/<name>/SKILL.md with no nested references.

5 / 5

Total

19

/

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 tight, third-person description that names a comprehensive set of concrete actions and pairs them with an explicit, host-specific trigger clause. It is highly specific and clearly distinct from neighbouring review skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'clone at the head sha, fetch the diff, apply general and language review criteria, post a single Reviews-API review with inline comments, recover from 422s, then verify and close the kanban card' — giving comprehensive coverage of the procedure.

5 / 5

Completeness

Explicitly answers both what ('Step-by-step procedure for producing ONE advisory COMMENT review') and when ('Use when a kanban card assigns an advisory PR review on git.home.claydon.co') with a concrete trigger phrase.

5 / 5

Trigger Term Quality

Includes natural terms a user of this system would say ('Forgejo pull request', 'advisory PR review', 'kanban card', 'inline comments'); a few common synonyms or variant phrasings are absent, keeping it just below the top anchor.

4 / 5

Distinctiveness Conflict Risk

Scoped to a single host (git.home.claydon.co), a kanban-triggered advisory-only COMMENT review, and a close-card workflow — a clear niche with minimal overlap risk.

5 / 5

Total

19

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

referenced_paths_exist

Referenced path issues: 4 missing

Warning

Total

14

/

16

Passed

Repository
rikdc/ai-skills
Reviewed

Table of Contents

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