Other

scientific-schematics

Automates publication-quality scientific diagrams (e.g., flowcharts, architectures, pathways) when you need journal/poster-ready visuals from a natural-language description.

87100Total Score
Core Capability
82 / 100
Functional Suitability
10 / 12
Reliability
9 / 12
Performance & Context
8 / 8
Agent Usability
13 / 16
Human Usability
8 / 8
Security
9 / 12
Maintainability
9 / 12
Agent-Specific
16 / 20
Medical Task
20 / 20 Passed
94Creating journal-ready figures (clean typography, consistent styling, high resolution) from a short textual description
4/4
90Producing poster-friendly diagrams that prioritize readability at distance (larger labels, stronger contrast)
4/4
88Text-to-diagram automation: Converts a natural-language prompt into a publication-quality schematic
4/4
88Iterative generate → review → refine loop: Automatically improves the figure until a quality threshold is met
4/4
88End-to-end case for Text-to-diagram automation: Converts a natural-language prompt into a publication-quality schematic
4/4

Veto GatesRequired pass for any deployment consideration

Skill Veto✓ All 4 gates passed
✓
Operational Stability
System remains stable across varied inputs and edge cases
PASS
✓
Structural Consistency
Output structure conforms to expected skill contract format
PASS
✓
Result Determinism
Equivalent inputs produce semantically equivalent outputs
PASS
✓
System Security
No prompt injection, data leakage, or unsafe tool use detected
PASS

Core Capability82 / 100 — 8 Categories

Functional Suitability
The archived deduction in functional suitability traces back to: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
10 / 12
83%
Reliability
Related legacy finding for scientific-schematics: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
9 / 12
75%
Performance & Context
No point loss was recorded for performance context in the legacy audit.
8 / 8
100%
Agent Usability
The archived evaluation left some headroom for scientific-schematics under agent usability.
13 / 16
81%
Human Usability
No point loss was recorded for human usability in the legacy audit.
8 / 8
100%
Security
A modest deduction remained in security for scientific-schematics in the archived review.
9 / 12
75%
Maintainability
A modest deduction remained in maintainability for scientific-schematics in the archived review.
9 / 12
75%
Agent-Specific
Related legacy finding for scientific-schematics: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
16 / 20
80%
Core Capability Total82 / 100

Medical TaskExecution Average: 89.6 / 100 — Assertions: 20/20 Passed

94
Canonical
Creating journal-ready figures (clean typography, consistent styling, high resolution) from a short textual description
4/4 ✓
90
Variant A
Producing poster-friendly diagrams that prioritize readability at distance (larger labels, stronger contrast)
4/4 ✓
88
Edge
Text-to-diagram automation: Converts a natural-language prompt into a publication-quality schematic
4/4 ✓
88
Variant B
Iterative generate → review → refine loop: Automatically improves the figure until a quality threshold is met
4/4 ✓
88
Stress
End-to-end case for Text-to-diagram automation: Converts a natural-language prompt into a publication-quality schematic
4/4 ✓
94
Canonical✅ Pass
Creating journal-ready figures (clean typography, consistent styling, high resolution) from a short textual description

This canonical case stayed inside the documented workflow and remained instruction-led.

Basic 35/40|Specialized 59/60|Total 94/100
✅A1The scientific-schematics output structure matches the documented deliverable
✅A2The instruction path remains actionable for the documented case
✅A3The output stays fully within the documented skill boundary
✅A4The response quality is acceptable for the documented path
Pass rate: 4 / 4
90
Variant A✅ Pass
Producing poster-friendly diagrams that prioritize readability at distance (larger labels, stronger contrast)

Producing poster-friendly diagrams that prioritize readability at... was evaluated as a bounded documentation path, not as a runnable script workflow.

Basic 33/40|Specialized 57/60|Total 90/100
✅A1The scientific-schematics output structure matches the documented deliverable
✅A2The instruction path remains actionable for the documented case
✅A3The output stays fully within the documented skill boundary
✅A4The response quality is acceptable for the documented path
Pass rate: 4 / 4
88
Edge✅ Pass
Text-to-diagram automation: Converts a natural-language prompt into a publication-quality schematic

This edge case stayed inside the documented workflow and remained instruction-led.

Basic 32/40|Specialized 56/60|Total 88/100
✅A1The scientific-schematics output structure matches the documented deliverable
✅A2The instruction path remains actionable for the documented case
✅A3The output stays fully within the documented skill boundary
✅A4The response quality is acceptable for the documented path
Pass rate: 4 / 4
88
Variant B✅ Pass
Iterative generate → review → refine loop: Automatically improves the figure until a quality threshold is met

This variant b case stayed inside the documented workflow and remained instruction-led.

Basic 31/40|Specialized 57/60|Total 88/100
✅A1The scientific-schematics output structure matches the documented deliverable
✅A2The instruction path remains actionable for the documented case
✅A3The output stays fully within the documented skill boundary
✅A4The response quality is acceptable for the documented path
Pass rate: 4 / 4
88
Stress✅ Pass
End-to-end case for Text-to-diagram automation: Converts a natural-language prompt into a publication-quality schematic

The archived run for End-to-end case for Text-to-diagram automation: Converts a... remained guidance-driven rather than command-driven.

Basic 28/40|Specialized 60/60|Total 88/100
✅A1The scientific-schematics output structure matches the documented deliverable
✅A2The instruction path remains actionable for the documented case
✅A3The output stays fully within the documented skill boundary
✅A4The response quality is acceptable for the documented path
Pass rate: 4 / 4
Medical Task Total89.6 / 100

Key Strengths

  • Primary routing is Other with execution mode B
  • Static quality score is 82/100 and dynamic average is 76.6/100
  • Assertions and command execution outcomes are recorded per input for human review
  • Execution verification summary: Script verification 1/1; adjustment=5. generate_schematic.py: OK