Evidence Insight
acronym-unpacker
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
90Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using clinical context, specialty-specific knowledge, and document-level semantic analysis
4/4
86Use this skill for evidence insight tasks that require explicit assumptions, bounded scope, and a reproducible output format
4/4
84Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using clinical context, specialty-specific knowledge, and document-level semantic analysis
4/4
82Packaged executable path(s): scripts/main.py
4/4
76End-to-end case for Scope-focused workflow aligned to: Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using clinical context, specialty-specific knowledge, and document-level semantic analysis
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 the package framed recommendations as plans to be tested, not facts already established. |
| 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 | The legacy audit did not flag code-usability issues for the packaged acronym-unpacker workflow. |
Core Capability88 / 100 — 8 Categories
Functional Suitability
The archived evaluation left some headroom for acronym-unpacker under functional suitability.
11 / 12
92%
Reliability
Related legacy finding for acronym-unpacker: Stabilize executable path and fallback behavior. Some inputs only reached PARTIAL due to execution gaps or weak boundary handling
10 / 12
83%
Performance & Context
The legacy audit gave full marks to performance context for this package.
8 / 8
100%
Agent Usability
A modest deduction remained in agent usability for acronym-unpacker in the archived review.
14 / 16
88%
Human Usability
No point loss was recorded for human usability in the legacy audit.
8 / 8
100%
Security
A modest deduction remained in security for acronym-unpacker in the archived review.
10 / 12
83%
Maintainability
The legacy audit deducted points for acronym-unpacker in maintainability.
10 / 12
83%
Agent-Specific
Related legacy finding for acronym-unpacker: 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
Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using clinical context, specialty-specific knowledge, and document-level semantic analysis
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
Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using clinical context, specialty-specific knowledge, and document-level semantic analysis
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: Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using clinical context, specialty-specific knowledge, and document-level semantic analysis
2/4 ✓
90
Canonical✅ Pass
Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using clinical context, specialty-specific knowledge, and document-level semantic analysis
The Intelligent medical abbreviation disambiguation tool that resolves... scenario completed within the documented Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using... boundary.
Basic 38/40|Specialized 52/60|Total 90/100
✅A1The acronym-unpacker 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 Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using... boundary.
Basic 36/40|Specialized 50/60|Total 86/100
✅A1The acronym-unpacker 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
Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using clinical context, specialty-specific knowledge, and document-level semantic analysis
The Intelligent medical abbreviation disambiguation tool that resolves... path verified the packaged helper command without exposing a deeper execution issue.
Basic 35/40|Specialized 49/60|Total 84/100
✅A1The acronym-unpacker 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 acronym-unpacker 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: Intelligent medical abbreviation disambiguation tool that resolves ambiguous acronyms using clinical context, specialty-specific knowledge, and document-level semantic analysis
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 acronym-unpacker 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