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boltz-small-molecule-screen

Screen existing small-molecule libraries with Boltz. Use when docking, scoring, or ranking a supplied SMILES or compound library against a target; also returns free Tier-1 ADME/ADMET (solubility, permeability, lipophilicity/logD) per molecule. Not for de novo molecule design, one-off docking, or ADME on bare SMILES with no target (use boltz-small-molecule-adme).

80

Quality

100%

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SecuritybySnyk

Critical

Do not install without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The content is lean, fully actionable with executable commands and runtime-specific guidance, and structured as a clear overview that offloads API/result detail to verified one-level references. Multi-step workflow validation and feedback loops are explicit, appropriate for a batch screen operation.

DimensionReasoningScore

Conciseness

The body assumes Claude's competence (no explanations of what docking/ADME/SMILES are) and every section earns its tokens — workflow steps, a concrete command block, and terse 'Always Do This' rules with no padded concept exposition.

3 / 3

Actionability

Provides fully executable, copy-paste-ready boltz-api commands with real flag names, a payload example path, and concrete runtime-specific invocation guidance for Claude Code and Codex rather than pseudocode.

3 / 3

Workflow Clarity

A clear 7-step sequence with explicit checkpoints — cost estimate + explicit confirmation before start, capture-ID feedback loop into download-results, terminal-state exit, and ranking guidance — satisfying the validation/checklist anchor for batch operations.

3 / 3

Progressive Disclosure

SKILL.md is a concise overview with well-signaled one-level-deep references to real files (references/api.md, references/results.md), both verified present in the bundle; details are appropriately split rather than inlined.

3 / 3

Total

12

/

12

Passed

Description

100%

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

The description is specific, trigger-rich, and explicitly delineates both its scope and exclusions, with clear routing away from a sibling skill. It satisfies the what/when requirements without verbosity or first/second person voice.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Screen existing small-molecule libraries', 'docking, scoring, or ranking', and 'returns free Tier-1 ADME/ADMET (solubility, permeability, lipophilicity/logD) per molecule' — matching the multi-action anchor.

3 / 3

Completeness

Clearly answers what (screen libraries, return free ADME) and when via an explicit 'Use when' clause plus concrete trigger conditions; not capped at 2 because the trigger guidance is explicit.

3 / 3

Trigger Term Quality

'docking, scoring, or ranking a supplied SMILES or compound library against a target' uses natural terms a user would say (docking, scoring, ranking, SMILES, compound library, ADME), with good variation coverage.

3 / 3

Distinctiveness Conflict Risk

A clear niche is defined and reinforced by an explicit 'Not for...' boundary that routes de novo design, one-off docking, and bare-SMILES ADME to boltz-small-molecule-adme, making wrong-skill triggering unlikely.

3 / 3

Total

12

/

12

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
openai/plugins
Reviewed

Table of Contents

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