Evidence Insight
bio-ontology-mapper
85100Total 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
18 / 20 Passed
90Map unstructured biomedical text to standardized ontologies (SNOMED CT
4/4
86Use this skill for evidence insight tasks that require explicit assumptions, bounded scope, and a reproducible output format
4/4
84Map unstructured biomedical text to standardized ontologies (SNOMED CT
4/4
82Packaged executable path(s): scripts/main.py
4/4
76End-to-end case for Scope-focused workflow aligned to: Map unstructured biomedical text to standardized ontologies (SNOMED CT
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 | The archived audit treated this workflow as hypothesis or protocol support, not as a source of validated results. |
| Practice Boundaries | PASS | Practice boundaries held because the package remained focused on source handling, lookup, or structured evidence use. |
| Methodological Ground | PASS | The older review treated the package logic as methodologically aligned with its stated workflow. |
| Code Usability | PASS | No code-usability failure was preserved for bio-ontology-mapper in the legacy evaluation. |
Core Capability88 / 100 — 8 Categories
Functional Suitability
A modest deduction remained in functional suitability for bio-ontology-mapper in the archived review.
11 / 12
92%
Reliability
The archived deduction in reliability traces back to: Stabilize executable path and fallback behavior. Some inputs only reached PARTIAL due to execution gaps or weak boundary handling
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 bio-ontology-mapper in agent usability.
14 / 16
88%
Human Usability
Human usability reached full score in the archived evaluation.
8 / 8
100%
Security
The archived evaluation left some headroom for bio-ontology-mapper under security.
10 / 12
83%
Maintainability
The archived evaluation left some headroom for bio-ontology-mapper under maintainability.
10 / 12
83%
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
17 / 20
85%
Core Capability Total88 / 100
Medical TaskExecution Average: 83.6 / 100 — Assertions: 18/20 Passed
90
Canonical
Map unstructured biomedical text to standardized ontologies (SNOMED CT
4/4 ✓
86
Variant A
Use this skill for evidence insight tasks that require explicit assumptions, bounded scope, and a reproducible output format
4/4 ✓
84
Edge
Map unstructured biomedical text to standardized ontologies (SNOMED CT
4/4 ✓
82
Variant B
Packaged executable path(s): scripts/main.py
4/4 ✓
76
Stress
End-to-end case for Scope-focused workflow aligned to: Map unstructured biomedical text to standardized ontologies (SNOMED CT
2/4 ✓
90
Canonical✅ Pass
Map unstructured biomedical text to standardized ontologies (SNOMED CT
Map unstructured biomedical text to standardized ontologies (SNOMED CT remained well-aligned with the documented contract in the preserved audit.
Basic 38/40|Specialized 52/60|Total 90/100
✅A1The bio-ontology-mapper 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
86
Variant A✅ Pass
Use this skill for evidence insight tasks that require explicit assumptions, bounded scope, and a reproducible output format
The Use this skill for evidence insight tasks that require explicit... scenario completed within the documented Map unstructured biomedical text to standardized ontologies (SNOMED CT boundary.
Basic 36/40|Specialized 50/60|Total 86/100
✅A1The bio-ontology-mapper 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
84
Edge✅ Pass
Map unstructured biomedical text to standardized ontologies (SNOMED CT
For Map unstructured biomedical text to standardized ontologies (SNOMED CT, the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.
Basic 35/40|Specialized 49/60|Total 84/100
✅A1The bio-ontology-mapper 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
82
Variant B✅ Pass
Packaged executable path(s): scripts/main.py
Packaged executable path(s): scripts/main.py remained well-aligned with the documented contract in the preserved audit.
Basic 34/40|Specialized 48/60|Total 82/100
✅A1The bio-ontology-mapper 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
76
Stress✅ Pass
End-to-end case for Scope-focused workflow aligned to: Map unstructured biomedical text to standardized ontologies (SNOMED CT
The preserved weakness for End-to-end case for Scope-focused workflow aligned to: Map unstructured biomedical text to standardized ontologies (SNOMED CT was concentrated in one point: The output stays within declared skill scope and target objective.
Basic 31/40|Specialized 45/60|Total 76/100
✅A1The bio-ontology-mapper 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 Total83.6 / 100
Key Strengths
- Primary routing is Evidence Insight with execution mode B
- Static quality score is 88/100 and dynamic average is 83.6/100
- Assertions and command execution outcomes are recorded per input for human review