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devtu-auto-discover-apis

Automatically discover life science APIs online, create ToolUniverse tools, validate them, and prepare integration PRs. Performs gap analysis to identify missing tool categories, web searches for APIs, automated tool creation using devtu-create-tool patterns, validation with devtu-fix-tool, and git workflow management. Use when expanding ToolUniverse coverage, adding new API integrations, or systematically discovering scientific resources.

74

Quality

92%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

92%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 well-structured, token-efficient skill body with a clear multi-phase workflow, validation feedback loops, and clean progressive disclosure into reference files. Actionability is the only slight gap, as core tool creation delegates to companion skills rather than inlining full code.

Suggestions

Inline a minimal complete tool-creation code skeleton (class + oneOf JSON config) in SKILL.md so the core task is copy-paste executable without first loading the reference.

Add the exact validation command invocation alongside the checklist rather than only the script path, to remove ambiguity on flags and expected output.

Specify the approval-gate mechanism (e.g., what to present to the user and what to wait for) so the human checkpoints are actionable rather than implied.

DimensionReasoningScore

Conciseness

The body is lean and efficient — compact tables, an ASCII workflow diagram, and terse bullet lists — with no over-explanation of concepts Claude already knows; every section earns its tokens.

5 / 5

Actionability

Provides concrete executable guidance (exact test command, branch-naming convention, scoring rubric, search query templates) but the core tool-creation work delegates to other skills and reference files rather than giving complete copy-paste code, leaving minor gaps.

4 / 5

Workflow Clarity

A clearly sequenced four-phase workflow with explicit human approval gates, a validation checklist requiring 100% pass, and a fix→retry feedback loop via devtu-fix-tool; the batch-operation cap does not apply because validation is present.

5 / 5

Progressive Disclosure

The SKILL.md is a concise overview that points to two real, well-signaled one-level-deep references (tool-templates.md and validation-guide.md, both verified to exist), with detail appropriately split out.

5 / 5

Total

19

/

20

Passed

Description

92%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, third-person description that clearly states capabilities and explicit use-when triggers for a well-scoped niche. Trigger-term coverage is the only slight weakness, missing some natural synonyms a user might say.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions across the full pipeline — discover life science APIs, create ToolUniverse tools, validate them, prepare integration PRs, plus gap analysis, web searches, and git workflow management — giving comprehensive coverage.

5 / 5

Completeness

Explicitly answers both what (discover/create/validate/integrate life science APIs) and when ('Use when expanding ToolUniverse coverage, adding new API integrations, or systematically discovering scientific resources') with concrete trigger phrases.

5 / 5

Trigger Term Quality

The 'Use when' clause offers good natural triggers ('adding new API integrations', 'systematically discovering scientific resources') but lacks common synonyms and variations a user might actually say, so it falls just short of comprehensive.

4 / 5

Distinctiveness Conflict Risk

The niche is highly specific — life science APIs, ToolUniverse, and the devtu-create-tool/fix-tool/github toolchain — giving clear distinct triggers with minimal conflict risk against other skills.

5 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

15

/

16

Passed

Repository
mims-harvard/ToolUniverse
Reviewed

Table of Contents

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