Content
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable, well-structured skill body with real bundled scripts and concrete commands, weakened mainly by verbosity (duplicate research section, full example brief/JSON) and a monolithic structure that underuses progressive disclosure and lacks a validate-before-send loop for its email-sending workflow.
Suggestions
Move the full example brief and example research JSON into a references/ file (e.g. EXAMPLES.md) and link to it from the body to cut tokens and improve progressive disclosure.
Remove the duplicate research-process description or merge "Research Process" into step 3 of "How It Works".
Add an explicit validate/dry-run checkpoint before the email-send step (e.g. "Send only after confirming DRY_RUN brief output looks correct") to strengthen the feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and well-organized, but padded with a full 30-line example brief, a complete example research JSON, and the research process described twice (in "How It Works" and again in "Research Process") — content that could be trimmed or moved. | 2 / 3 |
Actionability | Provides concrete executable commands ("node scripts/research_person.js ...", "./scripts/run_daily.sh", "gcalcli agenda today tomorrow") plus a complete config example and a real file-tree; all referenced scripts (run_daily.sh, check_calendar.sh, research_person.js, generate_brief.js, send_slack.sh) exist in ./scripts/. | 3 / 3 |
Workflow Clarity | The 7-step run_daily workflow is clearly sequenced, but for an outward-facing/destructive operation (sending emails to your inbox) validation checkpoints are weak — only DRY_RUN and post-hoc dedup logs are mentioned, with no explicit validate-before-send feedback loop. | 2 / 3 |
Progressive Disclosure | SKILL.md is a ~300-line monolith: the example brief, example research JSON, and detailed brief-format sections are inline content that would be better split into reference files; no one-level-deep references are provided. | 2 / 3 |
Total | 9 / 12 Passed |