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-engineered orchestrator body: deterministic routing with exit-code branches, a discovery loop whose validation checkpoints are actual machine gates with defined stop states, and a bundle structure (3 references, 3 scripts, 2 sample assets) that is real, one level deep, and clearly signaled. The only deduction is minor trimmable verbosity in the rationale sentences, the symptom table that duplicates the description, and the long forcing-question citations — none of it padding in the 'explains what Claude already knows' sense.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and assumes Claude's competence — no basic-concept explanations, and domain framing is compressed to single clauses ('opportunities are needs not features (O2)'). However, a few spots could be trimmed without loss: 'Modern discovery is a weekly habit, not a project phase (Torres)' is rationale Claude can infer from the canon reference, the 16-row symptom table partially duplicates the description's sub-skill inventory, and the six forcing questions each carry full canon citations that could be shortened. This lands on anchor 4 ('efficient; minor instances of over-explanation that could be trimmed') rather than 5, where every token would earn its place. | 4 / 5 |
Actionability | Commands are fully executable and copy-paste ready with all flags specified: `python3 scripts/product_goal_router.py --text "<the goal>" --output json`, `python3 scripts/discovery_cadence_tracker.py --input discovery_log.json`, `python3 scripts/ost_linter.py --input ost.json`, and the goal_compiler invocation with its full --manifest path. Exit-code semantics for every branch are given (exit 0/2/3 for the router, exit 5 refusal, 'exit 2 = NEEDS-REWORK, fix before citing the tree'), and the sample shapes are pointed to via `assets/sample_discovery_log.json`. All in-bundle script paths were verified to exist. This matches anchor 5 ('fully executable; copy-paste ready commands; specific examples cover the common cases'). | 5 / 5 |
Workflow Clarity | The routing workflow has an explicit decision table driven by exit codes (exit 0 → load named skill; exit 2 → ask one clarifying question with recommended answer; exit 3 → ask for restatement), and the discovery loop is a clear 5-step sequence (Observe → Choose → Act → Verify → Record/Repeat-or-stop) whose validation checkpoints are machine gates with defined failure handling and stop states ('DORMANT for 4+ weeks → escalate... by name', 'HEALTHY + validated assumption → graduate to experiment-designer'). Error-recovery feedback loops are explicit throughout — a direct match for the anchor-5 example pattern (validate → fix → only-when-valid proceed). | 5 / 5 |
Progressive Disclosure | SKILL.md is a clean overview that splits detail appropriately: three reference files are each linked inline with purpose and listed in a References section with one-line descriptions ('continuous_discovery_canon.md — Torres, OST, assumption testing, JTBD switch interviews, story mapping'), the three scripts in scripts/ are invoked directly, and sample data shapes live in assets/. All referenced in-bundle paths were verified to exist and are exactly one level deep — no nesting, no buried references. This matches anchor 5 ('clear overview with well-signaled one-level-deep references; content appropriately split; easy navigation'). | 5 / 5 |
Total | 19 / 20 Passed |