Data Analysis

graphical-abstract-wizard

Generate graphical abstract layout recommendations based on paper abstracts.

86100Total Score

Core Capability

83 / 100

Functional Suitability

11 / 12

Reliability

10 / 12

Performance & Context

8 / 8

Agent Usability

13 / 16

Human Usability

7 / 8

Security

9 / 12

Maintainability

9 / 12

Agent-Specific

16 / 20

Medical Task

18 / 20 Passed

100Generate graphical abstract layout recommendations based on paper abstracts

4/4

92Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format

4/4

91Generate graphical abstract layout recommendations based on paper abstracts

4/4

89Packaged executable path(s): scripts/main.py

4/4

64End-to-end case for Scope-focused workflow aligned to: Generate graphical abstract layout recommendations based on paper abstracts

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

Dimension	Result	Detail
Scientific Integrity	PASS	The archived review kept this workflow anchored to supplied data fields and observable execution behavior, not fabricated results.
Practice Boundaries	PASS	The archived review kept this package within Generate graphical abstract layout recommendations based on paper abstracts, not freeform inference detached from source data.
Methodological Ground	PASS	Methodological grounding was preserved through the documented inputs, transformations, and expected artifacts.
Code Usability	PASS	Code usability passed because the package still exposed a reviewable execution surface for its documented workflow.

Core Capability83 / 100 — 8 Categories

Functional Suitability

Related legacy finding for graphical-abstract-wizard: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency

11 / 12

92%

Reliability

Related legacy finding for graphical-abstract-wizard: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency

10 / 12

83%

Performance & Context

Performance context reached full score in the archived evaluation.

8 / 8

100%

Agent Usability

The archived review left some headroom in how quickly an agent can lock onto the intended analysis path.

13 / 16

81%

Human Usability

The archived deduction in human usability traces back to: Stabilize executable path and fallback behavior. Some inputs only reached PARTIAL due to execution gaps or weak boundary handling

7 / 8

88%

Security

Security remained strong, though the archived review still left some room for clearer execution guardrails.

9 / 12

75%

Maintainability

The archived review treated the package as maintainable, while still preserving some room for cleanup.

9 / 12

75%

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

16 / 20

80%

Core Capability Total83 / 100

Medical TaskExecution Average: 87.2 / 100 — Assertions: 18/20 Passed

100

Canonical

Generate graphical abstract layout recommendations based on paper abstracts

4/4 ✓

Variant A

Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format

4/4 ✓

Edge

Generate graphical abstract layout recommendations based on paper abstracts

4/4 ✓

Variant B

Packaged executable path(s): scripts/main.py

4/4 ✓

Stress

End-to-end case for Scope-focused workflow aligned to: Generate graphical abstract layout recommendations based on paper abstracts

2/4 ⚠

100

Canonical✅ Pass

Generate graphical abstract layout recommendations based on paper abstracts

Generate graphical abstract layout recommendations based on paper... remained well-aligned with the documented contract in the preserved audit.

Basic 40/40|Specialized 60/60|Total 100/100

✅A1The graphical-abstract-wizard 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

Variant A✅ Pass

Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format

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

Basic 36/40|Specialized 56/60|Total 92/100

✅A1The graphical-abstract-wizard 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

Edge✅ Pass

Generate graphical abstract layout recommendations based on paper abstracts

For Generate graphical abstract layout recommendations based on paper..., the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.

Basic 36/40|Specialized 55/60|Total 91/100

✅A1The graphical-abstract-wizard 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

Variant B✅ Pass

Packaged executable path(s): scripts/main.py

The Packaged executable path(s): scripts/main.py scenario completed within the documented Generate graphical abstract layout recommendations based on paper abstracts boundary.

Basic 36/40|Specialized 53/60|Total 89/100

✅A1The graphical-abstract-wizard 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

Stress⚠️ Warning

End-to-end case for Scope-focused workflow aligned to: Generate graphical abstract layout recommendations based on paper abstracts

The main issue in this stress run was: The output stays within declared skill scope and target objective.

Basic 25/40|Specialized 39/60|Total 64/100

✅A1The graphical-abstract-wizard 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 Total87.2 / 100

Key Strengths

Primary routing is Data Analysis with execution mode B
Static quality score is 83/100 and dynamic average is 87.2/100
Assertions and command execution outcomes are recorded per input for human review