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microscopy-scale-bar-adder

Add scale bars to microscopy images

53

1.95x
Quality

31%

Does it follow best practices?

Impact

92%

1.95x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./scientific-skills/Data analysis/microscopy-scale-bar-adder/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

100%

70%

Microscopy Image Scale Bar for Journal Submission

Basic script invocation with correct arguments

Criteria
Without context
With context

Uses main.py script

0%

100%

Correct --image flag

0%

100%

Correct --scale flag

0%

100%

Correct unit flag

0%

100%

Python invocation

50%

100%

No external packages

100%

100%

No external API calls

100%

100%

Output log produced

100%

100%

Without context: $0.6283 · 3m 6s · 38 turns · 199 in / 9,739 out tokens

With context: $0.3248 · 1m 7s · 21 turns · 597 in / 3,118 out tokens

80%

54%

Batch Scale Bar Processing for Multi-Instrument Lab

Multi-unit batch processing

Criteria
Without context
With context

Uses main.py for each image

0%

50%

nm unit for SEM images

0%

100%

um unit for fluorescence images

0%

100%

Correct SEM scale values

30%

100%

Correct fluorescence scale values

30%

100%

No external packages installed

100%

100%

No network/API calls

100%

100%

Uses --image flag

0%

0%

Batch log produced

100%

100%

Without context: $0.9762 · 4m 3s · 59 turns · 680 in / 11,667 out tokens

With context: $0.4716 · 1m 46s · 28 turns · 30 in / 5,853 out tokens

98%

13%

Secure Scale Bar Processing Service

Input validation and workspace output restriction

Criteria
Without context
With context

Delegates to main.py

33%

86%

Path traversal check

100%

100%

Workspace output restriction

100%

100%

No stack trace exposure

100%

100%

Stdlib only

100%

100%

Path traversal rejected in test

100%

100%

Valid call succeeds in test

0%

100%

Without context: $0.5862 · 2m 26s · 32 turns · 34 in / 8,319 out tokens

With context: $0.5745 · 2m 21s · 26 turns · 602 in / 7,816 out tokens

Repository
aipoch/medical-research-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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