Evidence Insight
translational-gap-analyzer
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
90Assess translational gaps between preclinical models and human diseases
4/4
86Use this skill for evidence insight tasks that require explicit assumptions, bounded scope, and a reproducible output format
4/4
84Assess translational gaps between preclinical models and human diseases
4/4
82Packaged executable path(s): scripts/main.py
4/4
76End-to-end case for Scope-focused workflow aligned to: Assess translational gaps between preclinical models and human diseases
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 legacy review kept outputs in proposal or planning mode rather than presenting them as completed experimental findings. |
| Practice Boundaries | PASS | The legacy review kept this workflow on the evidence-access side of the boundary, not the advice-giving side. |
| Methodological Ground | PASS | The legacy audit preserved a method-grounded interpretation of the Assess translational gaps between preclinical models and human diseases workflow. |
| Code Usability | PASS | The archived review found the packaged execution path for translational-gap-analyzer usable in its intended context. |
Core Capability88 / 100 — 8 Categories
Functional Suitability
A modest deduction remained in functional suitability for translational-gap-analyzer in the archived review.
11 / 12
92%
Reliability
Reliability 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
10 / 12
83%
Performance & Context
Performance context reached full score in the archived evaluation.
8 / 8
100%
Agent Usability
The archived evaluation left some headroom for translational-gap-analyzer under 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 translational-gap-analyzer under security.
10 / 12
83%
Maintainability
The legacy audit deducted points for translational-gap-analyzer in maintainability.
10 / 12
83%
Agent-Specific
The archived deduction in agent specific traces back to: 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
Assess translational gaps between preclinical models and human diseases
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
Assess translational gaps between preclinical models and human diseases
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: Assess translational gaps between preclinical models and human diseases
2/4 ✓
90
Canonical✅ Pass
Assess translational gaps between preclinical models and human diseases
Assess translational gaps between preclinical models and human diseases remained well-aligned with the documented contract in the preserved audit.
Basic 38/40|Specialized 52/60|Total 90/100
✅A1The translational-gap-analyzer 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 Assess translational gaps between preclinical models and human diseases boundary.
Basic 36/40|Specialized 50/60|Total 86/100
✅A1The translational-gap-analyzer 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
Assess translational gaps between preclinical models and human diseases
The Assess translational gaps between preclinical models and human diseases path verified the packaged helper command without exposing a deeper execution issue.
Basic 35/40|Specialized 49/60|Total 84/100
✅A1The translational-gap-analyzer 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 translational-gap-analyzer 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: Assess translational gaps between preclinical models and human diseases
This stress case was mostly intact, but the archived review centered its concern on: The output stays within declared skill scope and target objective.
Basic 31/40|Specialized 45/60|Total 76/100
✅A1The translational-gap-analyzer 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