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boltz-small-molecule-design

Design new small-molecule binders with Boltz. Use when generating novel ligands or hits for a target without a fixed compound library. Not for screening existing molecules or one-off docking.

72

Quality

87%

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SKILL.md
Quality
Evals
Security

Quality

Content

85%

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

A highly actionable, well-sequenced skill body with clear validation checkpoints and clean one-level-deep reference structure. Its only weakness is duplicated background-download/heartbeat guidance across sections that inflates token cost without adding information.

Suggestions

Consolidate the Codex/heartbeat/background-mode guidance: state it once in the "Always Do This" list and reference it from Workflow step 7 instead of repeating the full instructions in both places.

Consider moving the runtime-specific Claude Code vs Codex vs app/desktop branching into references/api.md or a dedicated runtime section to keep the core workflow steps scannable.

DimensionReasoningScore

Conciseness

The body is lean and procedural with no concept-explanation filler, but the Codex/heartbeat/background-mode guidance is restated across Workflow step 7 and the "Always Do This" list, so it could be tightened further.

2 / 3

Actionability

It provides a copy-paste-ready command block with concrete subcommands, absolute-path placeholders, and real flags, alongside specific numeric ranges, cost figures, and output file paths.

3 / 3

Workflow Clarity

The numbered 8-step sequence includes explicit validation checkpoints (enforce num_molecules range before estimate-cost, cost confirmation gate), terminal-state polling, and a clear restart path for failed downloads.

3 / 3

Progressive Disclosure

The overview body signals one-level-deep references to real files [references/api.md](references/api.md) and [references/results.md](references/results.md), with no nested/2+-level reference chains and clear section organization.

3 / 3

Total

11

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12

Passed

Description

90%

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-scoped description with explicit when/when-not triggers and natural vocabulary. The only gap is breadth of the action list, which keeps specificity at the middle anchor rather than the top.

DimensionReasoningScore

Specificity

"Design new small-molecule binders with Boltz" names a concrete domain and action, but the description lists a single action rather than the multiple specific concrete actions the top anchor requires.

2 / 3

Completeness

It explicitly answers both what ("Design new small-molecule binders") and when ("Use when generating novel ligands or hits for a target without a fixed compound library"), plus negative scoping ("Not for...").

3 / 3

Trigger Term Quality

Natural user-facing terms are well covered — "generating novel ligands or hits", "fixed compound library", "screening existing molecules", "one-off docking" — matching how a user would phrase the need.

3 / 3

Distinctiveness Conflict Risk

The de novo small-molecule design niche plus the explicit "Not for screening existing molecules or one-off docking" exclusion make it clearly distinguishable and unlikely to trigger for the wrong skill.

3 / 3

Total

11

/

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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