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labarchive-integration

Securely integrate with the official LabArchives ELN REST-like API and Inventory API v1. Use for regional endpoint selection, signed-request construction, user authorization and UID flows, local LA container validation, and verified LabArchives integration workflows.

72

Quality

88%

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%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-organized, domain-specific body with executable commands, a validated remote-write workflow, and clean one-level-deep references to real bundle files. Minor conciseness trims and a complete request example would lift it further.

Suggestions

Tighten the operational prose rules and the citation block to recover token budget without losing the security guidance.

Add one compact end-to-end example showing how to call an imported helper and feed its output to an HTTP client, so the actionability gap closes.

Consider collapsing redundant mentions of the same reference file (api_reference.md is linked in both 'Choose the Correct Surface' and 'References').

DimensionReasoningScore

Conciseness

Mostly efficient and focused on LabArchives-specific facts Claude would not know, with a few sections of operational prose and the boilerplate citation block that could be trimmed slightly.

4 / 5

Actionability

Provides copy-paste-ready bash commands and named importable functions, but delegates full request construction to institution-reviewed code, leaving a minor gap in end-to-end executable examples.

4 / 5

Workflow Clarity

The 'Local Request Planning' section gives a clear five-step sequence with explicit validation checkpoints and a re-read/verify feedback loop before remote writes, satisfying the destructive-operation validation requirement.

5 / 5

Progressive Disclosure

Body is a well-signaled overview pointing one level deep to four real reference files and three scripts, with content appropriately split and a dedicated References section for navigation.

5 / 5

Total

18

/

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, specific description that clearly states both what the skill does and when to use it, with a well-defined niche that minimizes conflict risk. Trigger term coverage is good but slightly leans on technical phrasing over the most natural user vocabulary.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'regional endpoint selection, signed-request construction, user authorization and UID flows, local LA container validation' — giving comprehensive coverage of the skill's capabilities.

5 / 5

Completeness

Explicitly answers both 'what' ('Securely integrate with the official LabArchives ELN REST-like API and Inventory API v1') and 'when' via a 'Use for ...' clause with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good keyword coverage with natural domain terms ('LabArchives', 'ELN', 'Inventory API'), but some triggers are technical jargon ('signed-request construction', 'UID flows') and common synonyms like 'electronic lab notebook' or 'notebook' are absent.

4 / 5

Distinctiveness Conflict Risk

Targets a clearly distinct niche (LabArchives ELN + Inventory API v1 integration) with vendor-specific triggers, so conflict with other skills is minimal.

5 / 5

Total

19

/

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
K-Dense-AI/scientific-agent-skills
Reviewed

Table of Contents

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