Academic Writing

figure-legend-gen

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
90Generate standardized figure legends for scientific charts and graphs
4/4
86Use this skill for academic writing tasks that require explicit assumptions, bounded scope, and a reproducible output format
4/4
84Generate standardized figure legends for scientific charts and graphs
4/4
82Packaged executable path(s): scripts/main.py
4/4
76End-to-end case for Scope-focused workflow aligned to: Generate standardized figure legends for scientific charts and graphs
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 evaluation preserved source-faithful writing behavior without adding unsupported results or conclusions.
Practice BoundariesPASSPractice boundaries held because the package kept to Generate standardized figure legends for scientific charts and graphs instead of claiming new evidence.
Methodological GroundPASSThe legacy audit preserved a method-grounded interpretation of the Generate standardized figure legends for scientific charts and graphs workflow.
Code UsabilityPASSThe legacy audit did not flag code-usability issues for the packaged figure-legend-gen workflow.

Core Capability88 / 1008 Categories

Functional Suitability
The writing workflow lands well overall, with minor remaining headroom in the final deliverable contract.
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
The legacy audit gave full marks to performance context for this package.
8 / 8
100%
Agent Usability
Agent usability was strong, though the workflow could surface its main conversion branches more directly.
14 / 16
88%
Human Usability
Human usability reached full score in the archived evaluation.
8 / 8
100%
Security
The workflow stayed safe overall, with only a small remaining deduction around boundary signaling.
10 / 12
83%
Maintainability
The archived review treated the package as maintainable overall, while still leaving some cleanup headroom.
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
Generate standardized figure legends for scientific charts and graphs
4/4
86
Variant A
Use this skill for academic writing tasks that require explicit assumptions, bounded scope, and a reproducible output format
4/4
84
Edge
Generate standardized figure legends for scientific charts and graphs
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: Generate standardized figure legends for scientific charts and graphs
2/4
90
Canonical✅ Pass
Generate standardized figure legends for scientific charts and graphs

Generate standardized figure legends for scientific charts and graphs remained well-aligned with the documented contract in the preserved audit.

Basic 38/40|Specialized 52/60|Total 90/100
A1The figure-legend-gen 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 academic writing tasks that require explicit assumptions, bounded scope, and a reproducible output format

The archived evaluation treated Use this skill for academic writing tasks that require explicit... as a clean in-scope run.

Basic 36/40|Specialized 50/60|Total 86/100
A1The figure-legend-gen 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
Generate standardized figure legends for scientific charts and graphs

The Generate standardized figure legends for scientific charts and graphs path verified the packaged helper command without exposing a deeper execution issue.

Basic 35/40|Specialized 49/60|Total 84/100
A1The figure-legend-gen 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

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

Basic 34/40|Specialized 48/60|Total 82/100
A1The figure-legend-gen 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: Generate standardized figure legends for scientific charts and graphs

For Generate standardized figure legends for scientific charts and graphs, the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.

Basic 31/40|Specialized 45/60|Total 76/100
A1The figure-legend-gen 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 Academic Writing 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