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alphafold2

Predict or audit protein structures with AlphaFold2-style workflows. Use when a research task needs monomer/multimer structure prediction, MSA/template handling, confidence metrics, or comparison against PDB/AlphaFold references.

71

Quality

86%

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SKILL.md
Quality
Evals
Security

Quality

Content

86%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A tight, well-organized workflow that assumes competence and gives concrete guidance with built-in verification checkpoints. The main gap is the absence of explicit error-recovery feedback loops and any runnable code or command examples.

Suggestions

Add an explicit feedback loop for the prediction step (e.g., if confidence metrics fall below a threshold or chain coverage is poor, adjust inputs/settings and re-run), which would lift workflow_clarity to the top anchor.

Include one concrete runnable example or command/payload skeleton for a common execution route (e.g., a minimal FASTA-to-structure invocation) to push actionability toward fully executable.

Optionally note where detailed reference material lives (even a one-line pointer to a references file) if the skill grows beyond this single-purpose scope.

DimensionReasoningScore

Conciseness

Lean and information-dense with no padding or explanation of concepts Claude already knows; every step earns its place, matching the top anchor.

5 / 5

Actionability

Concrete, specific instruction-only guidance (named metrics pLDDT/PAE, listed execution routes, defined outputs) but no copy-paste runnable code or commands, sitting between actionable instruction and fully executable examples.

4 / 5

Workflow Clarity

Clear five-step sequence with verification checkpoints (step 2 'Verify the execution route before running', step 5 comparison/audit), but lacks an explicit error-recovery feedback loop, so it does not reach the top anchor.

4 / 5

Progressive Disclosure

A short, single-purpose skill (under 50 lines, no external references needed) with well-organized sections (intro, numbered workflow, outputs), qualifying for the top anchor under the simple-skill exception.

5 / 5

Total

18

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, well-structured description that concisely states what the skill does and gives explicit, concrete trigger conditions. Specificity and trigger-term coverage are solid though not exhaustive.

DimensionReasoningScore

Specificity

Lists several concrete actions — 'Predict or audit protein structures', 'MSA/template handling', 'confidence metrics', 'comparison against PDB/AlphaFold references' — with only minor gaps in coverage, fitting the 'lists several specific actions' anchor rather than the fully comprehensive 5.

4 / 5

Completeness

Explicitly answers both 'what' ('Predict or audit protein structures with AlphaFold2-style workflows') and 'when' ('Use when a research task needs...') with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Good keyword coverage of natural research terms ('protein structures', 'structure prediction', 'monomer/multimer', 'MSA', 'PDB', 'AlphaFold references') with synonyms, but a few natural variations or file extensions are missing, so it sits below the comprehensive 5.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche (AlphaFold2-style protein structure prediction) with distinct triggers and minimal overlap risk with other skills.

5 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
companion-inc/feynman
Reviewed

Table of Contents

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