Evidence Insight

reference-search

91100Total Score
Core Capability
84 / 100
Functional Suitability
10 / 12
Reliability
10 / 12
Performance & Context
8 / 8
Agent Usability
13 / 16
Human Usability
7 / 8
Security
10 / 12
Maintainability
10 / 12
Agent-Specific
16 / 20
Medical Task
20 / 20 Passed
100Multi-database literature search and search-strategy design that outputs structured, reproducible result lists; use when you need reference retrieval, systematic searching, review topic selection, or to construct a traceable search strategy
4/4
97Multi-database literature search and search-strategy design that outputs structured, reproducible result lists; use when you need reference retrieval, systematic searching, review topic selection, or to construct a traceable search strategy
4/4
95Multi-database literature search and search-strategy design that outputs structured, reproducible result lists
4/4
94Packaged executable path(s): scripts/pubmed_search.py
4/4
94End-to-end case for Scope-focused workflow aligned to: Multi-database literature search and search-strategy design that outputs structured, reproducible result lists; use when you need reference retrieval, systematic searching, review topic selection, or to construct a traceable search strategy
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
PASS
Research Veto✅ PASS — Applicable
DimensionResultDetail
Scientific IntegrityPASSScientific content remained anchored to fetched metadata or source-linked evidence in the legacy review.
Practice BoundariesPASSThe package stayed in retrieval, extraction, or evidence-organization scope rather than drifting into unsupported interpretation.
Methodological GroundPASSThe older review treated the package logic as methodologically aligned with its stated workflow.
Code UsabilityPASSThe packaged retrieval surface remained understandable at the command and parameter level in the archived review.

Core Capability84 / 1008 Categories

Functional Suitability
The archived evaluation left some headroom for reference-search under functional suitability.
10 / 12
83%
Reliability
The legacy audit deducted points for reference-search in reliability.
10 / 12
83%
Performance & Context
No point loss was recorded for performance context in the legacy audit.
8 / 8
100%
Agent Usability
The archived evaluation left some headroom for reference-search under agent usability.
13 / 16
81%
Human Usability
Related legacy finding for reference-search: Minor polish before wide rollout. No major defects found
7 / 8
88%
Security
A modest deduction remained in security for reference-search in the archived review.
10 / 12
83%
Maintainability
The legacy audit deducted points for reference-search in maintainability.
10 / 12
83%
Agent-Specific
A modest deduction remained in agent specific for reference-search in the archived review.
16 / 20
80%
Core Capability Total84 / 100

Medical TaskExecution Average: 96 / 100 — Assertions: 20/20 Passed

100
Canonical
Multi-database literature search and search-strategy design that outputs structured, reproducible result lists; use when you need reference retrieval, systematic searching, review topic selection, or to construct a traceable search strategy
4/4
97
Variant A
Multi-database literature search and search-strategy design that outputs structured, reproducible result lists; use when you need reference retrieval, systematic searching, review topic selection, or to construct a traceable search strategy
4/4
95
Edge
Multi-database literature search and search-strategy design that outputs structured, reproducible result lists
4/4
94
Variant B
Packaged executable path(s): scripts/pubmed_search.py
4/4
94
Stress
End-to-end case for Scope-focused workflow aligned to: Multi-database literature search and search-strategy design that outputs structured, reproducible result lists; use when you need reference retrieval, systematic searching, review topic selection, or to construct a traceable search strategy
4/4
100
Canonical✅ Pass
Multi-database literature search and search-strategy design that outputs structured, reproducible result lists; use when you need reference retrieval, systematic searching, review topic selection, or to construct a traceable search strategy

The archived evaluation treated Multi-database literature search and search-strategy design that... as a clean in-scope run.

Basic 38/40|Specialized 60/60|Total 100/100
A1The reference-search output structure matches the documented deliverable
A2The script execution path completed successfully 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
97
Variant A✅ Pass
Multi-database literature search and search-strategy design that outputs structured, reproducible result lists; use when you need reference retrieval, systematic searching, review topic selection, or to construct a traceable search strategy

The Multi-database literature search and search-strategy design that... scenario completed within the documented Multi-database literature search and search-strategy design that outputs structured,... boundary.

Basic 36/40|Specialized 60/60|Total 97/100
A1The reference-search output structure matches the documented deliverable
A2The script execution path completed successfully 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
95
Edge✅ Pass
Multi-database literature search and search-strategy design that outputs structured, reproducible result lists

The Multi-database literature search and search-strategy design that... scenario completed within the documented Multi-database literature search and search-strategy design that outputs structured,... boundary.

Basic 35/40|Specialized 60/60|Total 95/100
A1The reference-search output structure matches the documented deliverable
A2The script execution path completed successfully 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
94
Variant B✅ Pass
Packaged executable path(s): scripts/pubmed_search.py

The archived evaluation treated Packaged executable path(s): scripts/pubmed_search.py as a clean in-scope run.

Basic 34/40|Specialized 60/60|Total 94/100
A1The reference-search output structure matches the documented deliverable
A2The script execution path completed successfully 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
94
Stress✅ Pass
End-to-end case for Scope-focused workflow aligned to: Multi-database literature search and search-strategy design that outputs structured, reproducible result lists; use when you need reference retrieval, systematic searching, review topic selection, or to construct a traceable search strategy

The archived evaluation treated Multi-database literature search and search-strategy design that outputs structured,... as a clean in-scope run.

Basic 31/40|Specialized 60/60|Total 94/100
A1The reference-search output structure matches the documented deliverable
A2The script execution path completed successfully 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 Total96 / 100

Key Strengths

  • Primary routing is Evidence Insight with execution mode B
  • Static quality score is 84/100 and dynamic average is 83.6/100
  • Assertions and command execution outcomes are recorded per input for human review
  • Execution verification summary: Script verification 1/1; adjustment=5. pubmed_search.py: OK