Data Analysis
pathology-roi-selector
Use pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
86100Total Score
Core Capability
83 / 100
Functional Suitability
11 / 12
Reliability
10 / 12
Performance & Context
8 / 8
Agent Usability
13 / 16
Human Usability
7 / 8
Security
9 / 12
Maintainability
9 / 12
Agent-Specific
16 / 20
Medical Task
18 / 20 Passed
100Use pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries
4/4
92Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format
4/4
91Use pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries
4/4
89Packaged executable path(s): scripts/main.py
4/4
64End-to-end case for Scope-focused workflow aligned to: Use pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries
2/4
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 Use pathology roi selector for data analysis workflows that need structured execution,... and did not drift into unsupported interpretation beyond the available inputs. |
| Methodological Ground | PASS | The legacy review kept the package aligned with its named analysis library, data structure, or processing workflow. |
| Code Usability | PASS | The archived review preserved a usable code path with named scripts, expected inputs, and a recognizable output contract. |
Core Capability83 / 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
The archived deduction in reliability traces back to: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
10 / 12
83%
Performance & Context
Performance context reached full score in the archived evaluation.
8 / 8
100%
Agent Usability
The packaged analysis path is understandable, though the archived score suggests slightly clearer routing would help.
13 / 16
81%
Human Usability
Human usability was softened by the legacy issue 'Stabilize executable path and fallback behavior'. Some inputs only reached PARTIAL due to execution gaps or weak boundary handling
7 / 8
88%
Security
The packaged workflow stayed safe overall, with only a small remaining deduction around boundary signaling.
9 / 12
75%
Maintainability
Maintainability stayed solid, with only limited room to simplify scripts, dependencies, or packaging structure.
9 / 12
75%
Agent-Specific
Agent specific was softened by the legacy issue 'Stabilize executable path and fallback behavior'. Some inputs only reached PARTIAL due to execution gaps or weak boundary handling
16 / 20
80%
Core Capability Total83 / 100
Medical TaskExecution Average: 87.2 / 100 — Assertions: 18/20 Passed
100
Canonical
Use pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries
4/4 ✓
92
Variant A
Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format
4/4 ✓
91
Edge
Use pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries
4/4 ✓
89
Variant B
Packaged executable path(s): scripts/main.py
4/4 ✓
64
Stress
End-to-end case for Scope-focused workflow aligned to: Use pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries
2/4 ⚠
100
Canonical✅ Pass
Use pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries
The Use pathology roi selector for data analysis workflows that need... scenario completed within the documented Use pathology roi selector for data analysis workflows that need structured execution,... boundary.
Basic 40/40|Specialized 60/60|Total 100/100
✅A1The pathology-roi-selector output structure covers required deliverable blocks
✅A2Script execution path is available (command exit code is 0)
✅A3The output stays within declared skill scope and target objective
✅A4Required research safety/boundary guidance is present without overclaims
Pass rate: 4 / 4
92
Variant A✅ Pass
Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format
The Use this skill for data analysis tasks that require explicit... scenario completed within the documented Use pathology roi selector for data analysis workflows that need structured execution,... boundary.
Basic 36/40|Specialized 56/60|Total 92/100
✅A1The pathology-roi-selector output structure covers required deliverable blocks
✅A2Script execution path is available (command exit code is 0)
✅A3The output stays within declared skill scope and target objective
✅A4Required research safety/boundary guidance is present without overclaims
Pass rate: 4 / 4
91
Edge✅ Pass
Use pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries
For Use pathology roi selector for data analysis workflows that need..., the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.
Basic 36/40|Specialized 55/60|Total 91/100
✅A1The pathology-roi-selector output structure covers required deliverable blocks
✅A2Script execution path is available (command exit code is 0)
✅A3The output stays within declared skill scope and target objective
✅A4Required research safety/boundary guidance is present without overclaims
Pass rate: 4 / 4
89
Variant B✅ Pass
Packaged executable path(s): scripts/main.py
The Packaged executable path(s): scripts/main.py scenario completed within the documented Use pathology roi selector for data analysis workflows that need structured execution,... boundary.
Basic 36/40|Specialized 53/60|Total 89/100
✅A1The pathology-roi-selector output structure covers required deliverable blocks
✅A2Script execution path is available (command exit code is 0)
✅A3The output stays within declared skill scope and target objective
✅A4Required research safety/boundary guidance is present without overclaims
Pass rate: 4 / 4
64
Stress⚠️ Warning
End-to-end case for Scope-focused workflow aligned to: Use pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries
The main issue in this stress run was: The output stays within declared skill scope and target objective.
Basic 25/40|Specialized 39/60|Total 64/100
✅A1The pathology-roi-selector output structure covers required deliverable blocks
✅A2Script execution path is available (command exit code is 0)
❌A3The output stays within declared skill scope and target objective
❌A4Required research safety/boundary guidance is present without overclaims
Pass rate: 2 / 4
Medical Task Total87.2 / 100
Key Strengths
- Primary routing is Data Analysis with execution mode B
- Static quality score is 83/100 and dynamic average is 87.2/100
- Assertions and command execution outcomes are recorded per input for human review