Content
77%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.
Highly actionable, well-sequenced content with genuine feedback loops and concrete executable examples for every workflow. The main weaknesses are token efficiency (duplicated grant guidance, version-specific troubleshooting details, promotional prose) and a monolithic structure that inlines troubleshooting and pattern catalogs instead of splitting them into reference files.
Suggestions
Split the bootstrap/troubleshooting section and the NLP pattern catalogs into one-level-deep reference files (e.g. references/troubleshooting.md, references/nlp-patterns.md), keeping SKILL.md as a lean overview with clearly signaled links.
Deduplicate the grant-policy guidance: state the rules once in the 'Operator grants' section and have the 'Don't' section reference it in one line instead of restating the policy.
Move version-specific details (the bridge 0.6.1 transport fix, npx-cache remedies) into a 'Known issues' section or reference file so time-sensitive information doesn't penalize the evergreen body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient tool-specific content, but there is real tightening to do: the grant-policy rules appear twice (the dense "Operator grants" paragraph and again in "Don't"), the intro paragraph restates the description with promotional tone, and time-sensitive version details ("fixed in bridge 0.6.1") appear outside any known-issues section. Not 4 because the duplication and version-specific padding go beyond minor trim instances; not 2 because nearly all content is Alethia-specific knowledge Claude cannot already know. | 3 / 5 |
Actionability | Fully executable throughout: exact tool invocations (alethia_tell({ instructions: ... })), copy-paste NLP example blocks, a complete MCP config JSON, eval expressions with expected return values ("32px", 320, 6), and npm commands. Common cases (smoke test, audit, safety proof, live demo) each get a concrete recipe. | 5 / 5 |
Workflow Clarity | Multi-step flows are clearly sequenced with explicit validation: the dev feedback loop (write → navigate → eval → correct → repeat), "When smart assertions fail" with nearMatches/suggestedFix/pageContext as an explicit read-then-retry feedback loop, and the safety proof where "Any blocked:false row is a safety regression" defines the pass/fail checkpoint. The destructive-action workflow (expect block:) includes pass/fail criteria, so the validation cap for destructive operations does not apply. | 5 / 5 |
Progressive Disclosure | The 230-line body is a single monolith with no bundle files at all: the bootstrap/troubleshooting section (~40 lines of npx-cache and transport-error remedies) and the NLP pattern/eval-example catalogs are reference material that clearly belongs in separate one-level-deep files. Sections are well-headered, which keeps it above 2, but the skill is far over the ~50-line threshold where inline-only organization would be acceptable; not 4 because substantial reference content is inlined rather than split. | 3 / 5 |
Total | 16 / 20 Passed |