Content
100%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 content is lean, highly actionable, and well-structured with executable commands and explicit validation checkpoints for the destructive/batch corpus-ingest and commit operations. References are one level deep, clearly signaled, and correspond to real bundled files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence: no explanation of what X/Twitter is, no library tutorials, no padded intros; every line gives a directive or a specific constraint. | 5 / 5 |
Actionability | Fully executable guidance throughout: exact commands ('git status --short --branch', 'rg -n -i ...', 'node <skill-dir>/scripts/update-tweet-corpus.mjs --input/--check', 'python3 <skill-creator-dir>/scripts/quick_validate.py'), concrete URLs, and a precise per-record field list. | 5 / 5 |
Workflow Clarity | Multi-step processes are clearly sequenced with explicit validation checkpoints: the refresh flow reads the script receipt (zero duplicate IDs/URLs/hashes), and 'Validate And Commit' runs a validate-fix-retry loop with 'git diff --check' before staging a narrow commit. | 5 / 5 |
Progressive Disclosure | SKILL.md is a well-signaled overview pointing one level deep to real bundled files (voice-profile.md, content-source-map.md, tweet-corpus.jsonl, update-tweet-corpus.mjs) via relative links, with bulk detail kept out of the overview. | 5 / 5 |
Total | 20 / 20 Passed |