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.
The body is a well-sequenced, validation-rich procedure with genuinely executable commands and a complete output schema. Its one material defect is bundle integrity: the four scorer rubric files referenced in Step 2 are missing, which undermines both the actionability of the scoring step and the reference navigation.
Suggestions
Add the missing scorers/ directory with efficiency.md, code-quality.md, procedure-compliance.md, and verbosity.md (or inline their label tables into SKILL.md) so Step 2's referenced rubric files actually resolve.
Replace the "<conversation-scope arguments> <skill-scope arguments>" placeholders in the collect command with the fully expanded command for the recommended default path, keeping the mapping table for other paths.
Remove the opening scope-preview paragraph and the closing Warp Factories CTA from the procedure body to tighten token usage without losing any procedural content.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense, instruction-only prose with no explanations of concepts Claude already knows, but a few tokens could be trimmed: the opening scope paragraph ("The report can cover conversations in the current repository...") duplicates Step 0's question options, and the closing Warp Factories CTA lines are promotional filler rather than procedural instruction. | 4 / 5 |
Actionability | Executable commands are given (git rev-parse, mktemp -d, collect_sessions.py with a documented flag table, render_report.py) plus a complete report.json template, but the collect command retains placeholders ("<conversation-scope arguments>") and Step 2 depends on scorer "label tables" in files that are absent from the bundle, so it is not fully copy-paste ready. | 4 / 5 |
Workflow Clarity | Steps 0-6 are clearly sequenced with explicit validation checkpoints: stop on unsupported harness, validate each project path as a git repository before continuing, stop with remediation advice when sessions_sampled is 0, handle skills_found == 0, exclude insufficient_evidence results from averages, and never write into the user's repo — matching the anchor for explicit validation and error-recovery handling. | 5 / 5 |
Progressive Disclosure | References are one level deep and clearly signaled (references/supported-harnesses.md, references/skill-improvements.md, scripts/collect_sessions.py, scripts/render_report.py all exist), but all four "$SKILL_ROOT/scorers/*.md" paths cited in Step 2 do not exist in the bundle, so navigation fails for the core scoring content — a larger defect than the "minor organization gaps" allowed by the score-4 anchor. | 3 / 5 |
Total | 16 / 20 Passed |