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evo2

Use Evo2-style biological sequence models for generation, scoring, or variant-effect analysis. Use when a task asks about DNA/RNA/protein sequence likelihood, editing, design, or long-context biological modeling.

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 concise, well-organized instruction-only skill with a clear sequenced workflow and validation step. Adding an explicit feedback loop and one or two executable verification commands would push actionability and workflow clarity to the top level.

Suggestions

Add an explicit feedback loop after step 5 (e.g. 'If validation fails, regenerate or adjust constraints and re-validate before presenting').

Include one or two concrete verification commands or example invocations for checking model endpoint/license or querying conservation databases.

Optionally note a default checkpoint/model identifier reference so the verify step is copy-paste ready.

DimensionReasoningScore

Conciseness

Lean and efficient with no padding or explanation of concepts Claude already knows; every line carries specific guidance.

5 / 5

Actionability

Concrete, specific guidance listing exact items to verify and save (endpoint, checkpoint, tokenizer, license boundary, seeds, etc.); short of 5 because it lacks executable command examples for the verification/validation steps.

4 / 5

Workflow Clarity

A clear five-step sequence with a validation checkpoint (step 5) and a pre-run precondition (step 2); not 5 because there is no explicit validate->fix->retry feedback loop for failed candidates.

4 / 5

Progressive Disclosure

Under 50 lines, single-purpose, well-organized into a workflow section with no unnecessary external references; meets the simple-skill exception for a top score.

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 tight, well-structured description that clearly states capabilities and explicit use-when triggers for a distinctive biological-modeling niche. Minor room to broaden trigger synonyms and action coverage.

DimensionReasoningScore

Specificity

Names the domain ('Evo2-style biological sequence models') and three concrete actions ('generation, scoring, or variant-effect analysis'); not a full 5 because the action list is solid but not exhaustive of variant-effect/modeling workflows.

4 / 5

Completeness

Explicitly answers both what ('generation, scoring, or variant-effect analysis') and when ('Use when a task asks about...') with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Strong natural coverage with 'DNA/RNA/protein sequence likelihood, editing, design, or long-context biological modeling'; a few common synonyms (e.g. mutation, fitness) are absent, keeping it just short of 5.

4 / 5

Distinctiveness Conflict Risk

Clear niche (Evo2-style biological sequence models) with distinct, domain-specific triggers; minimal overlap 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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