Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a dense, well-organized operating manual: lean and free of concept padding, fully actionable with concrete commands and thresholds, a clearly sequenced workflow with explicit validation and feedback loops, and a clean one-level-deep reference split. No dimension shows meaningful weakness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — terms like 'p50/p95', 'feature-flag gating', and 'autoresearch-style loop' are used without explanation, and every line is operational guidance rather than concept re-explanation, matching the 'lean and efficient; every token earns its place' anchor. | 3 / 3 |
Actionability | It provides copy-paste-ready commands ('LIVE_MCP_URL=... pnpm exec tsx evals/runner/probe.ts --out score.json', 'NODE_ENV=development PORT=9876 ... pnpm dev:hono'), named analytics tools, exact allowlist file paths, and concrete thresholds (≤400 changed lines, stop after 3 open PRs), matching the 'fully executable code/commands; copy-paste ready' anchor. | 3 / 3 |
Workflow Clarity | A clearly sequenced six-step iteration (Measure→Pick→Fix→Validate→Ship→Journal) with an explicit validation checkpoint ('Keep the change only if the target metric improves and nothing else degrades'), a mandatory no-regression sample, and a 'Failure modes to expect' feedback section, matching the 'clear sequence with explicit validation steps; feedback loops' anchor. | 3 / 3 |
Progressive Disclosure | The SKILL.md is a well-sectioned overview that offloads the detailed journal/PR-evidence format to a single clearly signaled, one-level-deep reference (references/campaign-journal.md, verified to exist), matching the 'clear overview with well-signaled one-level-deep references' anchor. | 3 / 3 |
Total | 12 / 12 Passed |