Evidence Insight

methodology-extractor

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
90Batch extraction of experimental methods from multiple papers for protocol
4/4
86Use this skill for evidence insight tasks that require explicit assumptions, bounded scope, and a reproducible output format
4/4
84Batch extraction of experimental methods from multiple papers for protocol
4/4
82Packaged executable path(s): scripts/main.py
4/4
76End-to-end case for Scope-focused workflow aligned to: Batch extraction of experimental methods from multiple papers for protocol
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
PASS
Research Veto✅ PASS — Applicable
DimensionResultDetail
Scientific IntegrityPASSThe archived audit treated this workflow as hypothesis or protocol support, not as a source of validated results.
Practice BoundariesPASSThe legacy review kept this workflow on the evidence-access side of the boundary, not the advice-giving side.
Methodological GroundPASSThe legacy audit preserved a method-grounded interpretation of the Batch extraction of experimental methods from multiple papers for protocol workflow.
Code UsabilityPASSThe archived review found the packaged execution path for methodology-extractor usable in its intended context.

Core Capability88 / 1008 Categories

Functional Suitability
A modest deduction remained in functional suitability for methodology-extractor 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
Performance context reached full score in the archived evaluation.
8 / 8
100%
Agent Usability
A modest deduction remained in agent usability for methodology-extractor 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
The legacy audit deducted points for methodology-extractor in security.
10 / 12
83%
Maintainability
The archived evaluation left some headroom for methodology-extractor under maintainability.
10 / 12
83%
Agent-Specific
Related legacy finding for methodology-extractor: 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
Batch extraction of experimental methods from multiple papers for protocol
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
Batch extraction of experimental methods from multiple papers for protocol
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: Batch extraction of experimental methods from multiple papers for protocol
2/4
90
Canonical✅ Pass
Batch extraction of experimental methods from multiple papers for protocol

The Batch extraction of experimental methods from multiple papers for... scenario completed within the documented Batch extraction of experimental methods from multiple papers for protocol boundary.

Basic 38/40|Specialized 52/60|Total 90/100
A1The methodology-extractor 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

Use this skill for evidence insight tasks that require explicit... remained well-aligned with the documented contract in the preserved audit.

Basic 36/40|Specialized 50/60|Total 86/100
A1The methodology-extractor 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
Batch extraction of experimental methods from multiple papers for protocol

For Batch extraction of experimental methods from multiple papers for..., the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.

Basic 35/40|Specialized 49/60|Total 84/100
A1The methodology-extractor 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 methodology-extractor 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: Batch extraction of experimental methods from multiple papers for protocol

The preserved weakness for End-to-end case for Scope-focused workflow aligned to: Batch extraction of experimental methods from multiple papers for protocol 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 methodology-extractor 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