Data Analysis
pathml
86100Total Score
Core Capability
84 / 100
Functional Suitability
11 / 12
Reliability
9 / 12
Performance & Context
7 / 8
Agent Usability
14 / 16
Human Usability
8 / 8
Security
10 / 12
Maintainability
9 / 12
Agent-Specific
16 / 20
Medical Task
20 / 20 Passed
91A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler
4/4
87A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler
4/4
85A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler
4/4
85Documentation-first workflow with no packaged script requirement
4/4
85End-to-end case for Scope-focused workflow aligned to: A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler
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 evaluated outputs stayed inside the A full-featured computational pathology toolkit for advanced WSI analysis, including... and did not drift into unsupported interpretation beyond the available inputs. |
| Methodological Ground | PASS | The workflow stayed grounded in its declared rubric or scale-selection logic rather than improvised criteria. |
| Code Usability | PASS | The archived review found the packaged execution path for pathml usable in its intended context. |
Core Capability84 / 100 — 8 Categories
Functional Suitability
Functional suitability was softened by the legacy issue '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
Human usability reached full score in the archived evaluation.
8 / 8
100%
Security
The packaged workflow stayed safe overall, with only a small remaining deduction around boundary signaling.
10 / 12
83%
Maintainability
The archived review treated the package as maintainable, while still preserving some room for cleanup.
9 / 12
75%
Agent-Specific
Related legacy finding for pathml: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
16 / 20
80%
Core Capability Total84 / 100
Medical TaskExecution Average: 86.6 / 100 — Assertions: 20/20 Passed
91
Canonical
A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler
4/4 ✓
87
Variant A
A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler
4/4 ✓
85
Edge
A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler
4/4 ✓
85
Variant B
Documentation-first workflow with no packaged script requirement
4/4 ✓
85
Stress
End-to-end case for Scope-focused workflow aligned to: A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler
4/4 ✓
91
Canonical✅ Pass
A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler
This canonical case stayed focused on extracting and normalizing evidence from the provided records instead of drifting into unsupported interpretation.
Basic 36/40|Specialized 55/60|Total 91/100
✅A1The pathml 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
A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler
This variant a case stayed focused on extracting and normalizing evidence from the provided records instead of drifting into unsupported interpretation.
Basic 34/40|Specialized 53/60|Total 87/100
✅A1The pathml 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
A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler
This edge case stayed focused on extracting and normalizing evidence from the provided records instead of drifting into unsupported interpretation.
Basic 33/40|Specialized 52/60|Total 85/100
✅A1The pathml 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
Documentation-first workflow with no packaged script requirement
The archived run treated Documentation-first workflow with no packaged script requirement as a bounded analysis workflow rather than a purely narrative instruction path.
Basic 32/40|Specialized 53/60|Total 85/100
✅A1The pathml 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 Scope-focused workflow aligned to: A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler
This stress case stayed focused on extracting and normalizing evidence from the provided records instead of drifting into unsupported interpretation.
Basic 29/40|Specialized 56/60|Total 85/100
✅A1The pathml 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 84/100 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