Content
77%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable, clearly sequenced workflow with strong validation and feedback loops appropriate to a merge-gate operation. The main weaknesses are mild verbosity from prose that restates the embedded jq logic, and a monolithic inline structure that could benefit from external references.
Suggestions
Trim the prose in the Signals section and around the jq blocks where it merely rephrases what the snippet already does, keeping only the why-it-matters context.
Consider extracting the large GraphQL/jq reference snippets into a referenced file (e.g. REACTIONS.md, THREADS.md) so SKILL.md stays a lean overview while keeping the detailed probes one level deep.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | It avoids explaining concepts Claude already knows (no "what is a PR/CI/GraphQL" padding) and the code is dense, but the Signals section and several prose paragraphs re-explain logic already encoded in the jq snippets and could be tightened. | 3 / 5 |
Actionability | Fully executable, copy-paste-ready gh/jq/GraphQL commands with placeholders cover the common cases and concrete examples (reaction checks, review fetch, thread query). | 5 / 5 |
Workflow Clarity | A clear 9-step numbered sequence with explicit validation checkpoints (head-SHA match, `exit 1` guards, reaction freshness), feedback loops (push restarts the loop, fix-and-revalidate), and a final gate report before merge. | 5 / 5 |
Progressive Disclosure | The body is well-sectioned (Hard Rule, Signals, Loop Workflow, Failure Mode) with clear navigation and no nested references, but at 307 lines everything is inlined in SKILL.md with no external reference structure for a complex multi-surface workflow. | 3 / 5 |
Total | 16 / 20 Passed |