Content
73%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-sequenced monitoring workflow with explicit validation gates, termination semantics, and concrete connector/paths — workflow clarity is a genuine strength. The main costs are token weight from repeated handoff disambiguation across four sections and the absence of executable examples, with several referenced files not actually shipped in the bundle.
Suggestions
State each handoff (launch-day-conductor, performance-analyzer, rank-tracker, performance-monitor) exactly once — the same disambiguation currently appears in the intro, Scope guard, Instructions, and Next Best Skill; collapsing to the Scope guard section alone would cut meaningful tokens.
Add one copy-paste-ready example per mode: a sample connector invocation (e.g., python scripts/connectors/hn.py <query>) and a short example D0 snapshot with Measured/Reference/Estimated labels, to lift actionability to fully executable.
Move per-connector operational detail (rate limits, ToS/attribution notes, key setup) fully into CONNECTORS.md and keep one line per connector in Data Sources, keeping the body to names and fallback behavior.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The same handoff disambiguation (launch-day-conductor, performance-analyzer, launch-feedback-synthesizer, performance-monitor) is repeated across the intro, the Scope guard, Instructions steps 4 and 7, and Next Best Skill, and dense nested parentheticals ("(keyless Algolia + Firebase — rank, points, comments)") could be flattened. It is mostly domain-specific with no explanation of concepts Claude already knows, so above a 2, but needs more than minor trimming to reach a 4. | 3 / 5 |
Actionability | Gives concrete, executable guidance — named connector scripts, a specific rate limit ("gdelt.py needs ≥5s between calls"), exact save paths ("memory/launch/launch-monitor/YYYY-MM-DD-<topic>.md"), and alert format rules ("each alert names the metric, the threshold, and the KPI target"). Not a 5 because no copy-paste-ready commands or sample outputs are shown (e.g., how to invoke hn.py or what a snapshot looks like); not a 3 since the guidance is specific and complete enough to execute. | 4 / 5 |
Workflow Clarity | Eight clearly sequenced steps with explicit validation gates: "an unverifiable surface is a named blocker... not a silent pass", "No targets means NEEDS_INPUT", and "close only when every required current-manifest action has a terminal matching receipt... Otherwise emit window_status: OPEN with the missing receipt IDs", plus a Done-when checklist and an error-recovery path (connector missing → manual paste checkpoints). Not a 4: checkpoints are explicit and conditional, not merely present with minor gaps. | 5 / 5 |
Progressive Disclosure | Clean section structure with a Reference Materials section of one-level-deep, annotated links, and connector details correctly deferred to CONNECTORS.md. Not a 5 because the referenced files (ramp-benchmark.md, skill-contract.md, CONNECTORS.md, scripts/connectors/*.py) are not present in the bundle, so navigation dead-ends; not a 3 since in-bundle structure and signaling are good. | 4 / 5 |
Total | 16 / 20 Passed |