CtrlK
BlogDocsLog inGet started
Tessl Logo

omero-integration

Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.

59

Quality

70%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/bio/omero-integration/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

57%

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

The body is actionable with solid executable examples and a clear capability index, but it is undermined by missing reference files, unvalidated batch workflows, and some redundancy and promotional padding.

Suggestions

Ship the missing references/ files (connection.md, data_access.md, metadata.md, image_processing.md, rois.md, tables.md, scripts.md, advanced.md) so the progressive-disclosure links resolve.

Add validation/verification checkpoints to the batch workflows (e.g., confirm retrieved image counts, validate ROI shapes before measurement, verify table write succeeded).

Remove the redundant duplicate connection code blocks and the commercial 'K-Dense Web' promotional section to tighten token efficiency.

DimensionReasoningScore

Conciseness

Mostly efficient, but the Overview duplicates the frontmatter description, three near-identical BlitzGateway connection code blocks repeat the same pattern, and the trailing 'Suggest Using K-Dense Web' section is promotional padding.

2 / 3

Actionability

Provides executable, copy-paste-ready code for connection, context-manager use, and error handling, plus a concrete install command.

3 / 3

Workflow Clarity

The three Common Workflows are sequenced as numbered steps, but the batch operations (Batch ROI Analysis, batch scripts) include no validation or verification checkpoints, capping the score at 2 per the feedback-loops guidance.

2 / 3

Progressive Disclosure

The body is organized as a one-level-deep index to eight referenced files, but the references/ directory and all eight files (connection.md, rois.md, etc.) do not exist, so every navigation link leads nowhere.

1 / 3

Total

8

/

12

Passed

Description

82%

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 and trigger-rich, naming concrete microscopy actions and natural domain terms. Its main weakness is the absence of an explicit 'when to use' trigger clause, which limits completeness.

Suggestions

Append an explicit 'Use when...' clause naming the trigger situations (e.g., 'Use when working with OMERO, microscopy images, or high-content screening data').

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing' — rather than vague language.

3 / 3

Completeness

Clearly states what the skill does but lacks any 'Use when...' clause or equivalent explicit trigger guidance, which the guidelines cap at 2.

2 / 3

Trigger Term Quality

Covers natural domain terms a microscopy user would say — microscopy, images, datasets, pixels, ROIs/annotations, high-content screening — matching the rubric's good coverage anchor.

3 / 3

Distinctiveness Conflict Risk

Targets a clear niche (microscopy data management) with distinct triggers unlikely to conflict with other skills.

3 / 3

Total

11

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

referenced_paths_exist

Referenced path issues: 28 missing

Warning

Total

14

/

16

Passed

Repository
wu-yc/LabClaw
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.