Academic Writing

meta-results-sensitivity-analysis

Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles. Use when the user wants to describe sensitivity analysis results or format sensitivity tables for a meta-analysis paper.

91100Total 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

20 / 20 Passed

100Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles

4/4

97Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles

4/4

95Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles

4/4

94Packaged executable path(s): scripts/validate_skill.py

4/4

94End-to-end case for Scope-focused workflow aligned to: Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles. Use when the user wants to describe sensitivity analysis results or format sensitivity tables for a meta-analysis paper

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

Dimension	Result	Detail
Scientific Integrity	PASS	The legacy review did not flag invented scientific claims in the package's writing-oriented output.
Practice Boundaries	PASS	Practice boundaries held because the package kept to Generates the "Results" section for meta-analysis sensitivity analysis based on statistical... instead of claiming new evidence.
Methodological Ground	PASS	No methodological-grounding issue was recorded for meta-results-sensitivity-analysis in the archived evaluation.
Code Usability	PASS	No code-usability failure was preserved for meta-results-sensitivity-analysis in the legacy evaluation.

Core Capability83 / 100 — 8 Categories

Functional Suitability

The writing workflow lands well overall, with minor remaining headroom in the final deliverable contract.

11 / 12

92%

Reliability

The package stayed usable overall, although more consistent behavior across edge dissemination cases would help.

10 / 12

83%

Performance & Context

No point loss was recorded for performance context in the legacy audit.

8 / 8

100%

Agent Usability

The archived score suggests slightly clearer routing would help an agent choose the right dissemination path faster.

13 / 16

81%

Human Usability

Related legacy finding for meta-results-sensitivity-analysis: Minor polish before wide rollout. No major defects found

7 / 8

88%

Security

Security scored well, though the archived review still left some room to state source-faithful boundaries more explicitly.

9 / 12

75%

Maintainability

The archived review treated the package as maintainable overall, while still leaving some cleanup headroom.

9 / 12

75%

Agent-Specific

Agent-specific quality remained high, though the archived review still left room for sharper trigger boundaries.

16 / 20

80%

Core Capability Total83 / 100

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

100

Canonical

Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles

4/4 ✓

Variant A

Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles

4/4 ✓

Edge

Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles

4/4 ✓

Variant B

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

4/4 ✓

Stress

End-to-end case for Scope-focused workflow aligned to: Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles. Use when the user wants to describe sensitivity analysis results or format sensitivity tables for a meta-analysis paper

4/4 ✓

100

Canonical✅ Pass

Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles

The Generates the "Results" section for meta-analysis sensitivity... path verified the packaged helper command without exposing a deeper execution issue.

Basic 38/40|Specialized 60/60|Total 100/100

✅A1The meta-results-sensitivity-analysis 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

Variant A✅ Pass

Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles

The archived run for Generates the "Results" section for meta-analysis sensitivity... confirmed the helper entrypoint and left the workflow in a stable state.

Basic 36/40|Specialized 60/60|Total 97/100

✅A1The meta-results-sensitivity-analysis 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

Edge✅ Pass

Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles

The archived run for Generates the "Results" section for meta-analysis sensitivity... confirmed the helper entrypoint and left the workflow in a stable state.

Basic 35/40|Specialized 60/60|Total 95/100

✅A1The meta-results-sensitivity-analysis 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

Variant B✅ Pass

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

The Packaged executable path(s): scripts/validate_skill.py path verified the packaged helper command without exposing a deeper execution issue.

Basic 34/40|Specialized 60/60|Total 94/100

✅A1The meta-results-sensitivity-analysis 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

Stress✅ Pass

For Generates the "Results" section for meta-analysis sensitivity analysis based on statistical..., the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.

Basic 31/40|Specialized 60/60|Total 94/100

✅A1The meta-results-sensitivity-analysis 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 Academic Writing with execution mode B
Static quality score is 83/100 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. validate_skill.py: OK