Content
60%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-organized, reasonably actionable discovery playbook with a clear sequenced workflow and concrete thresholds. Its two real defects are dangling references — the skill points to a script and a reference file that do not exist in the bundle — and duplicated framework content that inflates token cost without adding guidance.
Suggestions
Ship the referenced bundle files (scripts/assumption_mapper.py, references/discovery-frameworks.md) or remove the references and the CLI invocation so no path dead-ends.
Merge duplicated content: fold the OST quality checks into workflow step 2 and the assumption prioritization rule into step 3, deleting the repeated tree structure and category listings.
Specify the assumptions.csv input schema (required columns, risk/certainty value ranges) so the CLI command is copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly tight bullet fragments, but two sections duplicate earlier content: the OST section restates 'Outcome -> opportunities -> solution ideas -> experiments' from workflow step 2, and Assumption Mapping restates the four categories already listed in step 3 (desirability, viability, feasibility, usability). This matches anchor 3 ('mostly efficient but includes some unnecessary explanation or could be tightened') rather than anchor 4, whose over-explanation would be only minor and trimmable. | 3 / 5 |
Actionability | Guidance is largely concrete: a copy-paste CLI command ('python3 scripts/assumption_mapper.py assumptions.csv'), specific test types (fake door, concierge, concept tests), explicit quality thresholds ('at least 3 distinct opportunities', 'at least 2 experiments'), and a day-by-day sprint plan. Anchor 4 fits; it is not anchor 5 because the assumptions.csv input schema is never specified and interview guidance ('conduct interviews and behavior analysis') lacks executable detail. | 4 / 5 |
Workflow Clarity | The 6-step Core Discovery Workflow is clearly sequenced with decision checkpoints ('Reject weak opportunities early', 'End with decision: proceed, pivot, or stop') and evidence thresholds acting as validation criteria. Anchor 4 ('clear sequence with most checkpoints present; minor validation gates') fits; it is not anchor 5 because checkpoints are stated but not framed as explicit validate-and-fix feedback loops. | 4 / 5 |
Progressive Disclosure | The body signals one-level-deep references ('See references/discovery-frameworks.md for framework details', 'scripts/assumption_mapper.py'), but neither the references/ nor scripts/ directory exists — every referenced path is dangling, so navigation dead-ends. Per the guideline to score against the actual bundle structure, this fits anchor 2 ('minimal structure; references are buried/broken') despite good section headers, because inlined framework detail plus nonexistent referenced files means the disclosure structure does not actually work; anchor 3 would require working but imperfectly organized references. | 2 / 5 |
Total | 13 / 20 Passed |