Conciseness

The ~40-line body is entirely operational rules, field lists, and examples with zero concept explanation or padding — e.g., "Treat displayed `...` in tool previews as UI truncation, not part of the real request" is compact, non-obvious guidance. Every token earns its place; nothing identifiable to trim.

Actionability

Fully executable: a copy-paste-ready bash invocation (`echo '{...}' | python scripts/rest_request.py`), complete required/optional field lists, and three concrete request JSONs covering the common cases including params ("annotations/Q5VSL9.json" with {"type":"MUTAGEN"}).

Workflow Clarity

A simple single-purpose skill under 50 lines whose single action (run the script with the given input) is unambiguous, with failure modes enumerated ("error.code such as invalid_json, invalid_input, network_error, or invalid_response") and response handling specified. No destructive or batch operation, so the validation cap does not apply; the simple-skill exception holds.

Progressive Disclosure

Scored against the actual bundle: the single referenced file (scripts/rest_request.py) exists, the References section explicitly limits the package to SKILL.md plus that script, and there are no buried or multi-level references. Under 50 lines with well-organized sections, this matches the simple-skill case for a top score.

Specificity

The description names four concrete actions — "prediction, UniProt summary, sequence summary, and annotation lookups" — in third-person voice, fully covering the skill's request surface. Not 4: there are no gaps in coverage; every supported lookup type is explicitly listed.

Completeness

Explicitly answers both questions: what ("Submit compact AlphaFold Protein Structure Database API requests for prediction, UniProt summary, sequence summary, and annotation lookups") and when ("Use when a user wants AlphaFold metadata or concise structure summaries"). The 'when' clause is explicit with concrete trigger phrases, matching anchor 5.

Trigger Term Quality

Includes natural user-facing terms ("AlphaFold", "UniProt", "prediction", "structure summaries") but misses common synonyms such as "protein structure", "3D structure", "PDB", or confidence terms like "pLDDT". Good coverage with a few natural terms missing — anchor 4; not 5 because synonym breadth is absent.

Distinctiveness Conflict Risk

"AlphaFold Protein Structure Database API" carves out a clear niche with distinct triggers (AlphaFold, UniProt, structure summaries); virtually no other skill would compete for these terms, so conflict risk is minimal.