Content
88%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 body is highly actionable with executable code, clear multi-step workflows, and explicit validation/feedback loops for destructive operations. It is efficient though long, and with no bundle files the progressive-disclosure structure is good but largely inline.
Suggestions
Consider moving the lengthy acceptance-coverage tables and component lists into a reference file (e.g. references/acceptance-coverage.md) referenced from SKILL.md to improve progressive disclosure and token efficiency.
Tighten the 'Controlling a running instance via MCP' and 'Common Pitfalls' sections into terser bullets to trim tokens without losing guidance.
Add a one-line 'Use when...' trigger reminder at the top of the body to mirror the description and reinforce invocation conditions.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes Claude's familiarity with LangBot/EBA, with concrete code and commands rather than padded concept explanations; a few sections (e.g., the MCP control overview, some pitfall prose) could be tightened, so it sits just below lean. | 4 / 5 |
Actionability | Provides copy-paste-ready executable guidance throughout — a concrete adapter directory layout, a conversion-contract code block, exact `uv run`/`pytest`/`py_compile` commands, and a three-terminal standalone-runtime recipe covering the common cases. | 5 / 5 |
Workflow Clarity | Multi-step processes are clearly sequenced with validation checkpoints: numbered 'Start Here' onboarding, a 9-step live probe workflow, a 'Before Finishing' checklist, `git diff --check`, and explicit destructive-operation gating ('run it last', 'behind flags'). | 5 / 5 |
Progressive Disclosure | Well-organized into clearly labeled sections with one-level-deep pointers to repo paths and sibling skills; no bundle files exist to split, and all content is inline, so it is well-structured but cannot fully demonstrate file-based progressive disclosure. | 4 / 5 |
Total | 18 / 20 Passed |