Other

image-processing

87100Total Score
Core Capability
88 / 100
Functional Suitability
11 / 12
Reliability
10 / 12
Performance & Context
8 / 8
Agent Usability
14 / 16
Human Usability
8 / 8
Security
10 / 12
Maintainability
10 / 12
Agent-Specific
17 / 20
Medical Task
15 / 20 Passed
86You need to batch convert a folder of images into a single target format (e.g., WebP) for distribution
3/4
86You want to reduce file sizes via compression while keeping processing fully offline (no network calls)
3/4
86Batch conversion of common image formats using Pillow
3/4
86Configurable output format (default: webp) and quality (default: 80)
3/4
86End-to-end case for Batch conversion of common image formats using Pillow
3/4

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 Capability88 / 100 — 8 Categories

Functional Suitability
Related legacy finding for image-processing: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
11 / 12
92%
Reliability
Related legacy finding for image-processing: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
10 / 12
83%
Performance & Context
No point loss was recorded for performance context in the legacy audit.
8 / 8
100%
Agent Usability
The legacy audit deducted points for image-processing in agent usability.
14 / 16
88%
Human Usability
No point loss was recorded for human usability in the legacy audit.
8 / 8
100%
Security
The legacy audit deducted points for image-processing in security.
10 / 12
83%
Maintainability
A modest deduction remained in maintainability for image-processing in the archived review.
10 / 12
83%
Agent-Specific
Related legacy finding for image-processing: Stabilize executable path and fallback behavior. Some inputs only reached PARTIAL due to execution gaps or weak boundary handling
17 / 20
85%
Core Capability Total88 / 100

Medical TaskExecution Average: 86 / 100 — Assertions: 15/20 Passed

86
Canonical
You need to batch convert a folder of images into a single target format (e.g., WebP) for distribution
3/4 ✓
86
Variant A
You want to reduce file sizes via compression while keeping processing fully offline (no network calls)
3/4 ✓
86
Edge
Batch conversion of common image formats using Pillow
3/4 ✓
86
Variant B
Configurable output format (default: webp) and quality (default: 80)
3/4 ✓
86
Stress
End-to-end case for Batch conversion of common image formats using Pillow
3/4 ✓
86
Canonical✅ Pass
You need to batch convert a folder of images into a single target format (e.g., WebP) for distribution

This canonical case was mostly intact, but the archived review centered its concern on: The script execution path completed successfully for the documented case.

Basic 33/40|Specialized 53/60|Total 86/100
✅A1The image-processing output structure matches the documented deliverable
❌A2The script execution path completed successfully for the documented case
✅A3The output stays fully within the documented skill boundary
✅A4The response quality is acceptable for the documented path
Pass rate: 3 / 4
86
Variant A✅ Pass
You want to reduce file sizes via compression while keeping processing fully offline (no network calls)

The preserved weakness for You want to reduce file sizes via compression while keeping processing fully offline (no network calls) was concentrated in one point: The script execution path completed successfully for the documented case.

Basic 31/40|Specialized 55/60|Total 86/100
✅A1The image-processing output structure matches the documented deliverable
❌A2The script execution path completed successfully for the documented case
✅A3The output stays fully within the documented skill boundary
✅A4The response quality is acceptable for the documented path
Pass rate: 3 / 4
86
Edge✅ Pass
Batch conversion of common image formats using Pillow

This edge case was mostly intact, but the archived review centered its concern on: The script execution path completed successfully for the documented case.

Basic 30/40|Specialized 56/60|Total 86/100
✅A1The image-processing output structure matches the documented deliverable
❌A2The script execution path completed successfully for the documented case
✅A3The output stays fully within the documented skill boundary
✅A4The response quality is acceptable for the documented path
Pass rate: 3 / 4
86
Variant B✅ Pass
Configurable output format (default: webp) and quality (default: 80)

The preserved weakness for Configurable output format (default: webp) and quality (default: 80) was concentrated in one point: The script execution path completed successfully for the documented case.

Basic 29/40|Specialized 57/60|Total 86/100
✅A1The image-processing output structure matches the documented deliverable
❌A2The script execution path completed successfully for the documented case
✅A3The output stays fully within the documented skill boundary
✅A4The response quality is acceptable for the documented path
Pass rate: 3 / 4
86
Stress✅ Pass
End-to-end case for Batch conversion of common image formats using Pillow

The main issue in this stress run was: The script execution path completed successfully for the documented case.

Basic 26/40|Specialized 60/60|Total 86/100
✅A1The image-processing output structure matches the documented deliverable
❌A2The script execution path completed successfully for the documented case
✅A3The output stays fully within the documented skill boundary
✅A4The response quality is acceptable for the documented path
Pass rate: 3 / 4
Medical Task Total86 / 100

Key Strengths

  • Primary routing is Other with execution mode B
  • Static quality score is 88/100 and dynamic average is 71.6/100
  • Assertions and command execution outcomes are recorded per input for human review
  • Execution verification summary: Script verification 1/1; adjustment=5. convert_images.py: OK