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 skill body is a lean, fully-actionable overview that defers detail to a well-organized set of real one-level-deep reference files. Workflows are clearly sequenced with explicit validation checkpoints and feedback loops, and every command and contract is concrete and executable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and load-bearing throughout, assumes Claude's competence, and never pads with explanations of what research or libraries are — every token earns its place. | 5 / 5 |
Actionability | Provides copy-paste-ready commands (`uv run ... memlog.py init`, `recon_kit.py slug`, `recon_kit.py tally`), exact run-folder file shapes, a structured digest contract, and a complete headless JSON output spec — fully executable. | 5 / 5 |
Workflow Clarity | Multi-step activation is numbered, intents are routed through a table, the plan gate is an explicit hard stop with approval, and validation checkpoints with feedback loops (verify-per-dimension, stop-and-write valve, halt-when-blocked) are present — satisfying the batch/destructive-ops requirement. | 5 / 5 |
Progressive Disclosure | The body is a tight overview pointing to clearly signaled one-level-deep references (draft.md, run.md, verification.md, synthesis.md, finalize.md, lifecycle.md, selection.md, process.md, html-briefing.md), all real files in the bundle, with easy navigation and no nested indirection. | 5 / 5 |
Total | 20 / 20 Passed |