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issue-review-reply

Review PigeonPod GitHub issues end to end. Use when the user asks what an issue means, whether it is valid, how to reply, whether to add it to the GitHub Project, or to turn it into a tracked task. Read the issue and comments, inspect relevant local docs and code, explain the real requirement or bug precisely, draft a maintainer reply, and only after explicit approval perform GitHub writes. When creating a task, first recommend `Priority`, `Size`, and `Estimate`, wait for maintainer confirmation or overrides, then write those values into the project task fields.

75

Quality

92%

Does it follow best practices?

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Adds up to 20 points to the overall score

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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-structured, executable skill body with concrete gh commands, explicit approval gates, and verification feedback loops throughout. The only minor gap is a touch of dense field-id detail that could be tightened.

DimensionReasoningScore

Conciseness

Efficient and assumes Claude's competence with no padding about what GitHub or gh is; the field-id tables and command flags are necessary detail but add a little that could be trimmed, keeping it just short of fully lean.

4 / 5

Actionability

Provides fully executable, copy-paste-ready `gh` commands with concrete flags and field ids covering the common cases (comment, item-add, item-create, item-edit) plus verification re-reads.

5 / 5

Workflow Clarity

A clear six-step sequence with explicit approval gates ('No explicit approval, no write action') and verification steps after every write, plus a confirmation loop for task field overrides.

5 / 5

Progressive Disclosure

A single well-organized SKILL.md with no bundle files and clear section headers; as a self-contained skill with no external references needed, this is appropriately structured.

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 strong, specific description that pairs concrete capabilities with an explicit 'Use when...' trigger clause and routes adjacent analysis work to other skills. Only minor synonym coverage is missing.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Read the issue and comments, inspect relevant local docs and code, explain the real requirement or bug precisely, draft a maintainer reply' plus recommend Priority/Size/Estimate and perform GitHub writes — giving comprehensive coverage.

5 / 5

Completeness

Explicitly answers both what the skill does (review/inspect/explain/draft/write) and when to use it via the 'Use when the user asks...' clause with concrete trigger phrases.

5 / 5

Trigger Term Quality

Captures natural phrases users would say ('what an issue means', 'whether it is valid', 'how to reply', 'turn it into a tracked task') but misses common synonyms like 'triage' or 'investigate', leaving a few natural terms uncovered.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (PigeonPod issue review plus GitHub Project execution) with distinct triggers and explicit routing of adjacent work to bug-analysis/requirements-analysis, minimizing conflict risk.

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
aizhimou/pigeon-pod
Reviewed

Table of Contents

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