Content
85%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-structured, actionable skill body with executable commands for every tool, real bundled references organized in clear tables, and a phased workflow that includes validation checkpoints. Slight room remains to tighten verbose listing and add explicit verify-retry loops in the workflow.
Suggestions
Convert Phase 2's validation bullets into concrete verify-and-retry steps (e.g., 'If validation fails: print the missing fields and re-run data collection') to strengthen the workflow feedback loop.
Trim the enumerated ratio names and the Key Metrics & Targets table, or move them to a reference file, to reduce token usage while keeping the overview lean.
Specify in Phase 5 how/when follow-up is triggered (e.g., cadence or event that starts the accuracy review) so the feedback loop is actionable rather than aspirational.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Efficient and assumes competence — no padding explaining what a DCF or ratio is; each tool section is tight with bullet features and executable commands. Minor over-listing of ratio names and metric tables could be trimmed slightly, so it stays just below 5. | 4 / 5 |
Actionability | Every tool has fully executable, copy-paste-ready bash commands run against a real bundled sample file, plus concrete flag examples (--format json, --projection-years 7) covering common cases; the input-data-format section documents exact JSON keys. | 5 / 5 |
Workflow Clarity | A clear 5-phase sequence with explicit validation checkpoints in Phase 2 ('Validate input data completeness', 'cross-check DCF outputs against sanity bounds'). However Phase 2's validation steps are descriptive rather than concrete verify-and-retry loops, and Phase 5 follow-up lacks a defined trigger/retry mechanism, keeping it below 5. | 4 / 5 |
Progressive Disclosure | SKILL.md is a clear overview pointing to four references, four scripts, and three templates via well-labeled tables, all one level deep with no nesting; every referenced path (verified against the bundle listing) is a real file, and the bundled vs. flat input shapes are clearly signaled. | 5 / 5 |
Total | 18 / 20 Passed |