Content
92%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 well-structured, lean, highly actionable skill body: clear three-step workflow with explicit zero-result and script-failure handling, a concrete output contract, and a manual fallback. The only notable gap is the hardcoded `--org getsentry` value with no guidance on parameterizing it for other organizations.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean: a one-line summary, a prerequisites line, three short sequenced sections, and a compact fallback. Nothing explains concepts Claude already knows, and every element (slug normalization rule, output JSON contract, reasons enum, zero-case message) adds information Claude could not infer. It matches the anchor-5 'every token earns its place' example in structure and density. | 5 / 5 |
Actionability | Guidance is mostly copy-paste ready: the exact `uv run ${CLAUDE_SKILL_ROOT}/scripts/fetch_review_requests.py --org getsentry --teams <team-slug>` command, a multi-team variant, a concrete output example, an explicit presentation format, and a manual `gh api` fallback with the exact endpoints and skip conditions. It falls short of 5 because `--org getsentry` is hardcoded with no note on when or how to substitute another org, leaving a minor gap for users outside that org. | 4 / 5 |
Workflow Clarity | Steps are clearly sequenced (identify team with an explicit ask-if-unspecified checkpoint, run script, present results) and both failure modes are handled explicitly: "If `total` is 0, say: 'No unread review requests found...'" and "If the script fails, run manually" with concrete fallback commands. The operation is read-only, so the destructive/batch validation cap does not apply, and the error-recovery fallback plus zero-case handling match the anchor-5 feedback-loop pattern for this simple skill. | 5 / 5 |
Progressive Disclosure | The SKILL.md is a self-contained ~70-line overview with well-organized headers and a single one-level-deep reference (`scripts/fetch_review_requests.py`) clearly signaled in its own step. No bundle reference files were provided to verify the script path, but on the content itself nothing that belongs in a separate file is inlined — the short fallback commands and output example are appropriately placed for a skill of this size. | 5 / 5 |
Total | 19 / 20 Passed |