Content
85%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-engineered body: executable mode routing, completion criteria on every step, dry-run-first fix loops, and a clean one-level-deep reference structure that matches the actual bundle. The residual costs are structural duplication between the two parallel step frameworks and the absence of a single complete inline helper invocation.
Suggestions
Inline one complete example invocation (e.g. `python -E -B assets/scripts/validate_skill.py <skill-folder>`) in the Helper scripts section so the most common verification action is executable without opening helper-runtime.md.
Merge or cross-reference the "Operating mode" seven-step order with the "Skill architecture workflow" steps to eliminate the duplicated classify/plan/verify guidance.
Consolidate the audit-packet table and the predictability-pass list, which repeat several checks (completion criteria, leading words, pruning/sediment) across two formats.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes competence ("Patch narrowly — avoid churn-only rewrites", terse mode/layer tables) with no padding or explanation of known concepts, so it is above anchor 3. It stays at 4 rather than 5 because the seven-step "Operating mode" order substantially duplicates the "Skill architecture workflow" (classify/gather, plan artifact, verify mechanically/verify and hand off), and verification emphasis repeats across three sections — trims are available, though minor. | 4 / 5 |
Actionability | Concrete guidance throughout: exact script names and flags (`fix_skill.py --write`, `--author`, `--openai-yaml`, `python -E -B`), a mode table with per-mode references and outputs, and a layer table routing each check to its decider. It is not 5 because no complete verbatim invocation appears in the body — exact commands are deferred to references/helper-runtime.md, leaving a minor gap for the most common validation action. | 4 / 5 |
Workflow Clarity | Every ordered step carries a checkable "Done when" completion criterion, fix mode is explicitly dry-run-first with a validate-after feedback loop ("only apply `fix_skill.py --write` ... then run `validate_skill.py`"), the audit packet is a per-check decision table, and reporting demands "exactly what passed, failed, or was skipped". This is the anchor-5 pattern: explicit validation, error-recovery loops, and checklists. | 5 / 5 |
Progressive Disclosure | SKILL.md stays routing-focused ("Keep `SKILL.md` focused on routing and immediate behavior") while all detail lives in one-level-deep, real bundle files: the six references are linked via a "Load when" table, all five helper scripts plus requirements.txt are linked with use descriptions, and assets/evals/scenarios.json is disclosed as test input — every referenced path exists in the bundle. Navigation is easy and well-signaled, matching anchor 5. | 5 / 5 |
Total | 18 / 20 Passed |