Data Analysis

forest-plot-styler

Analyze data with `forest-plot-styler` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

86100Total 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

17 / 20 Passed

100Analyze data with forest-plot-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation

4/4

100Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format

4/4

92Analyze data with forest-plot-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation

4/4

65Packaged executable path(s): scripts/main.py

3/4

65End-to-end case for Scope-focused workflow aligned to: Analyze data with forest-plot-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation

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	No scientific-integrity problem was surfaced because the package did not claim more than the available records, article text, or script evidence supported.
Practice Boundaries	PASS	The archived review kept this package within Analyze data with forest-plot-styler using a reproducible workflow, explicit validation,..., 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	The legacy audit did not record a code-usability failure in the packaged analysis path.

Core Capability88 / 100 — 8 Categories

Functional Suitability

The archived deduction in functional suitability traces back to: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency

11 / 12

92%

Reliability

Reliability was softened by the legacy issue 'Improve stress-case output rigor'. Stress and boundary scenarios show weaker consistency

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, but the workflow could surface its entry conditions a little more directly.

14 / 16

88%

Human Usability

No point loss was recorded for human usability in the legacy audit.

8 / 8

100%

Security

A modest security gap remained in the archived evaluation despite otherwise controlled workflow behavior.

10 / 12

83%

Maintainability

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

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: 84.4 / 100 — Assertions: 17/20 Passed

100

Canonical

Analyze data with forest-plot-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation

4/4 ✓

100

Variant A

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

4/4 ✓

Edge

Analyze data with forest-plot-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation

4/4 ✓

Variant B

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

3/4 ⚠

Stress

End-to-end case for Scope-focused workflow aligned to: Analyze data with forest-plot-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation

2/4 ⚠

100

Canonical✅ Pass

Analyze data with forest-plot-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation

The Analyze data with forest-plot-styler using a reproducible workflow,... scenario completed within the documented Analyze data with forest-plot-styler using a reproducible workflow, explicit validation,... boundary.

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

✅A1The forest-plot-styler 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

100

Variant A✅ Pass

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

The Use this skill for data analysis tasks that require explicit... scenario completed within the documented Analyze data with forest-plot-styler using a reproducible workflow, explicit validation,... boundary.

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

✅A1The forest-plot-styler 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

Analyze data with forest-plot-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation

The Analyze data with forest-plot-styler using a reproducible workflow,... path verified the packaged helper command without exposing a deeper execution issue.

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

✅A1The forest-plot-styler 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⚠️ Warning

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

The main issue in this variant b run was: Script execution path is available (command exit code is 0).

Basic 26/40|Specialized 39/60|Total 65/100

✅A1The forest-plot-styler 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: 3 / 4

Stress⚠️ Warning

End-to-end case for Scope-focused workflow aligned to: Analyze data with forest-plot-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation

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 25/40|Specialized 40/60|Total 65/100

✅A1The forest-plot-styler 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 Total84.4 / 100

Key Strengths

Primary routing is Data Analysis with execution mode B
Static quality score is 88/100 and dynamic average is 84.4/100
Assertions and command execution outcomes are recorded per input for human review