Data Analysis
histolab
86100Total Score
Core Capability
85 / 100
Functional Suitability
11 / 12
Reliability
9 / 12
Performance & Context
7 / 8
Agent Usability
14 / 16
Human Usability
8 / 8
Security
11 / 12
Maintainability
9 / 12
Agent-Specific
16 / 20
Medical Task
20 / 20 Passed
91You need to tile gigapixel Whole Slide Images (WSI) into manageable patches for downstream analysis
4/4
87You want automatic tissue detection to avoid background-heavy tiles during dataset preparation
4/4
85Slide management via Slide: load WSI formats (SVS, TIFF, NDPI, etc.), access metadata, thumbnails, pyramid levels, and regions
4/4
85Tissue masking via TissueMask, BiggestTissueBoxMask, and custom BinaryMask implementations
4/4
85End-to-end case for Slide management via Slide: load WSI formats (SVS, TIFF, NDPI, etc.), access metadata, thumbnails, pyramid levels, and regions
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
PASSResearch Veto✅ PASS — Applicable
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | Scientific integrity held because extraction and analysis outputs stayed tied to provided text, metadata, or runtime evidence rather than invented study findings. |
| Practice Boundaries | PASS | The archived review kept this package within Lightweight Whole Slide Image (WSI) tiling and preprocessing for digital pathology, not freeform inference detached from source data. |
| Methodological Ground | PASS | Methodological grounding was preserved through the documented inputs, transformations, and expected artifacts. |
| Code Usability | PASS | Code usability passed because the package still exposed a reviewable execution surface for its documented workflow. |
Core Capability85 / 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
11 / 12
92%
Reliability
Reliability was softened by the legacy issue 'Improve stress-case output rigor'. Stress and boundary scenarios show weaker consistency
9 / 12
75%
Performance & Context
Performance-context scoring suggests the package could handle larger or denser runs a little more gracefully.
7 / 8
88%
Agent Usability
The archived review left some headroom in how quickly an agent can lock onto the intended analysis path.
14 / 16
88%
Human Usability
No point loss was recorded for human usability in the legacy audit.
8 / 8
100%
Security
Security remained strong, though the archived review still left some room for clearer execution guardrails.
11 / 12
92%
Maintainability
Maintainability stayed solid, with only limited room to simplify scripts, dependencies, or packaging structure.
9 / 12
75%
Agent-Specific
Related legacy finding for histolab: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
16 / 20
80%
Core Capability Total85 / 100
Medical TaskExecution Average: 86.6 / 100 — Assertions: 20/20 Passed
91
Canonical
You need to tile gigapixel Whole Slide Images (WSI) into manageable patches for downstream analysis
4/4 ✓
87
Variant A
You want automatic tissue detection to avoid background-heavy tiles during dataset preparation
4/4 ✓
85
Edge
Slide management via Slide: load WSI formats (SVS, TIFF, NDPI, etc.), access metadata, thumbnails, pyramid levels, and regions
4/4 ✓
85
Variant B
Tissue masking via TissueMask, BiggestTissueBoxMask, and custom BinaryMask implementations
4/4 ✓
85
Stress
End-to-end case for Slide management via Slide: load WSI formats (SVS, TIFF, NDPI, etc.), access metadata, thumbnails, pyramid levels, and regions
4/4 ✓
91
Canonical✅ Pass
You need to tile gigapixel Whole Slide Images (WSI) into manageable patches for downstream analysis
This canonical case stayed within the packaged analysis boundary and kept a reviewable task contract.
Basic 36/40|Specialized 55/60|Total 91/100
✅A1The histolab 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
87
Variant A✅ Pass
You want automatic tissue detection to avoid background-heavy tiles during dataset preparation
The archived run treated You want automatic tissue detection to avoid background-heavy tiles... as a bounded analysis workflow rather than a purely narrative instruction path.
Basic 34/40|Specialized 53/60|Total 87/100
✅A1The histolab 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
85
Edge✅ Pass
Slide management via Slide: load WSI formats (SVS, TIFF, NDPI, etc.), access metadata, thumbnails, pyramid levels, and regions
Slide management via Slide: load WSI formats (SVS, TIFF, NDPI,... remained an analysis-style extraction path whose value came from structured data capture rather than a freeform narrative response.
Basic 33/40|Specialized 52/60|Total 85/100
✅A1The histolab 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
85
Variant B✅ Pass
Tissue masking via TissueMask, BiggestTissueBoxMask, and custom BinaryMask implementations
This variant b case stayed within the packaged analysis boundary and kept a reviewable task contract.
Basic 32/40|Specialized 53/60|Total 85/100
✅A1The histolab 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
85
Stress✅ Pass
End-to-end case for Slide management via Slide: load WSI formats (SVS, TIFF, NDPI, etc.), access metadata, thumbnails, pyramid levels, and regions
End-to-end case for Slide management via Slide: load WSI formats... remained an analysis-style extraction path whose value came from structured data capture rather than a freeform narrative response.
Basic 29/40|Specialized 56/60|Total 85/100
✅A1The histolab 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 Total86.6 / 100
Key Strengths
- Primary routing is Data Analysis with execution mode A
- Static quality score is 85/100 and dynamic average is 78.6/100
- Assertions and command execution outcomes are recorded per input for human review
- Execution verification summary: No script verification was applicable