Data Analysis
statistical-analysis
88100Total 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
20 / 20 Passed
91Guided statistical analysis for test selection, assumption checks, power analysis, and APA-style reporting. Use when you need to choose an appropriate statistical test for your data and produce publication-ready results (including effect sizes and diagnostics)
4/4
87Guided statistical analysis for test selection, assumption checks, power analysis, and APA-style reporting. Use when you need to choose an appropriate statistical test for your data and produce publication-ready results (including effect sizes and diagnostics)
4/4
86Test selection guidance by research question, design (independent/paired; 2+ groups), outcome type, and distributional properties (see references/test_selection_guide.md)
4/4
86Assumption checking and diagnostics with automated checks and plots (Q–Q, residual plots, boxplots) via scripts/assumption_checks.py (see references/assumptions_and_diagnostics.md)
4/4
86End-to-end case for Test selection guidance by research question, design (independent/paired; 2+ groups), outcome type, and distributional properties (see references/test_selection_guide.md)
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
PASSResearch 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 Guided statistical analysis for test selection, assumption checks, power analysis, and..., 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 archived review preserved a usable code path with named scripts, expected inputs, and a recognizable output contract. |
Core Capability88 / 100 — 8 Categories
Functional Suitability
Related legacy finding for statistical-analysis: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
11 / 12
92%
Reliability
The archived deduction in reliability traces back to: 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
Agent usability was strong, but the workflow could surface its entry conditions a little more directly.
14 / 16
88%
Human Usability
The legacy audit gave full marks to human usability for this package.
8 / 8
100%
Security
The packaged 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, while still preserving some room for cleanup.
10 / 12
83%
Agent-Specific
The archived deduction in agent specific traces back to: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
17 / 20
85%
Core Capability Total88 / 100
Medical TaskExecution Average: 87.2 / 100 — Assertions: 20/20 Passed
91
Canonical
Guided statistical analysis for test selection, assumption checks, power analysis, and APA-style reporting. Use when you need to choose an appropriate statistical test for your data and produce publication-ready results (including effect sizes and diagnostics)
4/4 ✓
87
Variant A
Guided statistical analysis for test selection, assumption checks, power analysis, and APA-style reporting. Use when you need to choose an appropriate statistical test for your data and produce publication-ready results (including effect sizes and diagnostics)
4/4 ✓
86
Edge
Test selection guidance by research question, design (independent/paired; 2+ groups), outcome type, and distributional properties (see references/test_selection_guide.md)
4/4 ✓
86
Variant B
Assumption checking and diagnostics with automated checks and plots (Q–Q, residual plots, boxplots) via scripts/assumption_checks.py (see references/assumptions_and_diagnostics.md)
4/4 ✓
86
Stress
End-to-end case for Test selection guidance by research question, design (independent/paired; 2+ groups), outcome type, and distributional properties (see references/test_selection_guide.md)
4/4 ✓
91
Canonical✅ Pass
Guided statistical analysis for test selection, assumption checks, power analysis, and APA-style reporting. Use when you need to choose an appropriate statistical test for your data and produce publication-ready results (including effect sizes and diagnostics)
The archived run treated Guided statistical analysis for test selection, assumption checks,... as a bounded analysis workflow rather than a purely narrative instruction path.
Basic 36/40|Specialized 55/60|Total 91/100
✅A1The statistical-analysis output structure matches the documented deliverable
✅A2The instruction path remains actionable 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
87
Variant A✅ Pass
Guided statistical analysis for test selection, assumption checks, power analysis, and APA-style reporting. Use when you need to choose an appropriate statistical test for your data and produce publication-ready results (including effect sizes and diagnostics)
The archived run treated Guided statistical analysis for test selection, assumption checks,... as a bounded analysis workflow rather than a purely narrative instruction path.
Basic 34/40|Specialized 53/60|Total 87/100
✅A1The statistical-analysis output structure matches the documented deliverable
✅A2The instruction path remains actionable 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
86
Edge✅ Pass
Test selection guidance by research question, design (independent/paired; 2+ groups), outcome type, and distributional properties (see references/test_selection_guide.md)
Test selection guidance by research question, design... remained tied to the documented analysis contract even when the preserved evidence centered on instructions instead of a full rerun.
Basic 33/40|Specialized 53/60|Total 86/100
✅A1The statistical-analysis output structure matches the documented deliverable
✅A2The instruction path remains actionable 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
86
Variant B✅ Pass
Assumption checking and diagnostics with automated checks and plots (Q–Q, residual plots, boxplots) via scripts/assumption_checks.py (see references/assumptions_and_diagnostics.md)
Assumption checking and diagnostics with automated checks and plots... remained tied to the documented analysis contract even when the preserved evidence centered on instructions instead of a full rerun.
Basic 32/40|Specialized 54/60|Total 86/100
✅A1The statistical-analysis output structure matches the documented deliverable
✅A2The instruction path remains actionable 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
86
Stress✅ Pass
End-to-end case for Test selection guidance by research question, design (independent/paired; 2+ groups), outcome type, and distributional properties (see references/test_selection_guide.md)
This stress case stayed within the packaged analysis boundary and kept a reviewable task contract.
Basic 29/40|Specialized 57/60|Total 86/100
✅A1The statistical-analysis output structure matches the documented deliverable
✅A2The instruction path remains actionable 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 Total87.2 / 100
Key Strengths
- Primary routing is Data Analysis with execution mode B
- Static quality score is 88/100 and dynamic average is 78.6/100
- Assertions and command execution outcomes are recorded per input for human review
- Execution verification summary: Script verification 0/1; adjustment=0. assumption_checks.py: error=Command 'python "E:\aipoach-skill\20260314\Data Analysis\statistical-analysis\scripts\assumption_checks.py" --help' timed out after 8 seconds