Content
27%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill content reads more like a product README or documentation page than an actionable skill for Claude. It's heavily padded with version comparison tables, conceptual explanations, and marketing-style content that doesn't help Claude execute tasks. The core actionable content (hook setup, commands, file structure) is buried in verbose surrounding material that could be cut by 60%+ or split into reference files.
Suggestions
Cut the document to ~80 lines: remove version comparison tables, the 'Why Hooks vs Skills' rationale section, the philosophical quote, and the marketing tagline. Claude doesn't need to be sold on the approach.
Move the Scope Decision Guide, Confidence Scoring details, File Structure tree, and Backward Compatibility notes into separate reference files (e.g., SCOPE.md, REFERENCE.md) and link to them from the main skill.
Add validation checkpoints: after hook setup, include a step to verify observations are being captured (e.g., 'Check that observations.jsonl exists and has entries after a few tool calls'). Add error recovery for common failures.
Remove explanations of concepts Claude already understands (what confidence scoring means, why deterministic hooks are better than probabilistic skills) and replace with just the actionable rules.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The document is extremely verbose at ~300+ lines. It includes extensive version comparison tables (v1 vs v2, v2 vs v2.1), explains concepts Claude already knows (why hooks are better than skills, what confidence scoring means conceptually), includes a philosophical quote, marketing tagline, and multiple sections that could be dramatically condensed. The 'Why Hooks vs Skills' section explains something Claude doesn't need justified. | 1 / 3 |
Actionability | The Quick Start section provides concrete JSON configuration and bash commands, and the commands table is clear. However, much of the document is descriptive rather than instructive — the instinct model explanation, scope decision guide, and confidence scoring sections describe concepts rather than providing executable guidance. The CLI commands shown (python3 instinct-cli.py promote) are concrete but lack complete context for setup. | 2 / 3 |
Workflow Clarity | The Quick Start provides a 3-step setup sequence, and the architecture diagram shows the data flow clearly. However, there are no validation checkpoints — no way to verify hooks are working, no way to confirm observations are being captured, no error recovery steps if the observer fails. For a system involving background agents and file manipulation, this is a significant gap. | 2 / 3 |
Progressive Disclosure | This is a monolithic wall of text with no references to supporting files despite being a complex multi-file system. The file structure, scope decision guide, confidence scoring details, backward compatibility notes, and version comparison tables could all be in separate reference files. No bundle files are provided, and no external references are made to detailed documentation within the skill's own structure. | 1 / 3 |
Total | 6 / 12 Passed |