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.
The content is excellent: a well-sequenced process with real validation feedback loops, a runnable self-check script, and clean one-level-deep references to existing bundle files. Only minor tightening of the philosophy prose would improve token efficiency further.
Suggestions
Tighten the "philosophy" section: the "done must be observable" corollary can be condensed to one sentence since step 5 and the references already reinforce it.
Consider moving the full worked example's assumptions-format detail into the patterns reference to keep SKILL.md focused on the anatomy and self-check.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely efficient and skill-specific, but the "philosophy" section and some explanatory corollaries (e.g. the "done must be observable" elaboration) could be trimmed without losing actionable value, keeping it just below the leanest anchor. | 4 / 5 |
Actionability | Provides a concrete 5-step process, a defined seven-part anatomy, a runnable validation command ("python3 scripts/goal_prompt_self_check.py -"), and a full worked example with assumptions — copy-paste-ready guidance covering the common case. | 5 / 5 |
Workflow Clarity | Steps 1-5 are clearly sequenced with explicit validation checkpoints ("Verify before you name", the six-point self-check) and a feedback loop ("Fix any miss before shipping") backed by an executable script, satisfying the explicit-validation anchor. | 5 / 5 |
Progressive Disclosure | The body is an overview that clearly signals one-level-deep references to the real bundle files ([references/goal_prompt_patterns.md] and scripts/goal_prompt_self_check.py), both of which exist, with detail appropriately split out and easy navigation. | 5 / 5 |
Total | 19 / 20 Passed |