omero-integration

Securely inspect and automate microscopy data workflows against OMERO.server with omero-py, BlitzGateway, OMERO CLI, tables, annotations, ROIs, rendering, and documented OMERO.web APIs. Use for scoped OMERO inventory, metadata export, import/export planning, or reviewed write workflows.

Quality

92%

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Securityby

Low

Low-risk findings worth noting

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.

An exceptionally well-structured body: executable code, an explicit safety contract with validation checkpoints, and clean one-level-deep navigation to real reference files. Only minor conciseness tightening of the version-pin section would improve it.

Suggestions

Condense the 'Verified Baseline' section's version/date detail into a compact pinned-versions table or move it to references/sources.md to reduce token weight on the overview.

Dimension	Reasoning	Score
Conciseness	Lean and assumes Claude's competence (no explainers on what OMERO/microscopy is), but the version/date-heavy 'Verified Baseline' section could be trimmed slightly despite being justified as a reproducibility pin.	4 / 5
Actionability	Provides copy-paste-ready uv install commands, a complete exception-safe BlitzGateway snippet with try/finally, and runnable helper invocations covering the common read path.	5 / 5
Workflow Clarity	A destructive/remote skill with explicit validation gates — dry-run-first operating contract, per-write reviewed-target rules, dry-run-by-default helpers gated by --execute, and a final pre-remote review checklist with error-recovery feedback.	5 / 5
Progressive Disclosure	SKILL.md is a clear overview; the Capability Guide maps each topic to a real, one-level-deep reference file (all 9 verified present) with relative-path links, and scripts are listed with concise descriptions.	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 precise, well-scoped description that names the domain, multiple concrete actions, and explicit use-when triggers tied to a distinctive OMERO niche. Minor room to broaden natural-language synonyms beyond OMERO terminology.

Suggestions

Add a few user-facing synonyms (e.g., 'microscopy images', '.oir/.czi/.tiff', 'image metadata') so non-OMERO-fluent users' phrasings still match.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions across subsystems — inventory, metadata export, import/export planning, reviewed writes, plus tables, annotations, ROIs, rendering — giving comprehensive coverage rather than minor gaps.	5 / 5
Completeness	Explicitly states both what ('Securely inspect and automate… with omero-py, BlitzGateway, OMERO CLI…') and when ('Use for scoped OMERO inventory, metadata export, import/export planning, or reviewed write workflows') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Strong natural terms ('microscopy data', 'OMERO inventory', 'metadata export', 'import/export planning') but the language leans on OMERO jargon and omits common synonyms/extensions that users might say.	4 / 5
Distinctiveness Conflict Risk	The microscopy-data / OMERO.server niche is clear with distinct triggers, making it unlikely to fire for the wrong skill.	5 / 5
	Total	19 / 20 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_field	'metadata' should map string keys to string values	Warning

	Total	15 / 16 Passed

Repository: K-Dense-AI/scientific-agent-skills
Path: skills/omero-integration/SKILL.md
Commit: 36d8f13

Reviewed: 2 days ago

Table of Contents

Discovery Implementation Validation

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