Data Analysis
meta-title-generator
85100Total Score
Core Capability
77 / 100
Functional Suitability
9 / 12
Reliability
9 / 12
Performance & Context
8 / 8
Agent Usability
12 / 16
Human Usability
7 / 8
Security
8 / 12
Maintainability
9 / 12
Agent-Specific
15 / 20
Medical Task
20 / 20 Passed
95Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise
4/4
91Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise
4/4
89Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise
4/4
89Packaged executable path(s): scripts/search_pubmed.py
4/4
89End-to-end case for Scope-focused workflow aligned to: Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise. Use when the user wants to brainstorm or generate titles for a meta-analysis, specifically starting from keywords or a topic
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 | 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 Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search..., not freeform inference detached from source data. |
| Methodological Ground | PASS | The archived evaluation treated the workflow as method-linked rather than ad hoc. |
| Code Usability | PASS | Code usability passed because the package still exposed a reviewable execution surface for its documented workflow. |
Core Capability77 / 100 — 8 Categories
Functional Suitability
Related legacy finding for meta-title-generator: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
9 / 12
75%
Reliability
Related legacy finding for meta-title-generator: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
9 / 12
75%
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.
12 / 16
75%
Human Usability
The package is readable overall, though the archived review still left a small human-usability gap.
7 / 8
88%
Security
Security remained strong, though the archived review still left some room for clearer execution guardrails.
8 / 12
67%
Maintainability
The analysis package is maintainable overall, though the archived score suggests modest cleanup headroom.
9 / 12
75%
Agent-Specific
The archived deduction in agent specific traces back to: Improve stress-case output rigor. Stress and boundary scenarios show weaker consistency
15 / 20
75%
Core Capability Total77 / 100
Medical TaskExecution Average: 90.6 / 100 — Assertions: 20/20 Passed
95
Canonical
Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise
4/4 ✓
91
Variant A
Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise
4/4 ✓
89
Edge
Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise
4/4 ✓
89
Variant B
Packaged executable path(s): scripts/search_pubmed.py
4/4 ✓
89
Stress
End-to-end case for Scope-focused workflow aligned to: Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise. Use when the user wants to brainstorm or generate titles for a meta-analysis, specifically starting from keywords or a topic
4/4 ✓
95
Canonical✅ Pass
Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise
Generates Meta-Analysis research titles based on user keywords,... remained an analysis-style extraction path whose value came from structured data capture rather than a freeform narrative response.
Basic 35/40|Specialized 60/60|Total 95/100
✅A1The meta-title-generator 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
91
Variant A✅ Pass
Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise
The archived run treated Generates Meta-Analysis research titles based on user keywords,... as a bounded extraction workflow, keeping attention on source fields, fallback logic, and output shape.
Basic 33/40|Specialized 58/60|Total 91/100
✅A1The meta-title-generator 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
89
Edge✅ Pass
Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise
Generates Meta-Analysis research titles based on user keywords,... remained an analysis-style extraction path whose value came from structured data capture rather than a freeform narrative response.
Basic 32/40|Specialized 57/60|Total 89/100
✅A1The meta-title-generator 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
89
Variant B✅ Pass
Packaged executable path(s): scripts/search_pubmed.py
Packaged executable path(s): scripts/search_pubmed.py remained an analysis-style extraction path whose value came from structured data capture rather than a freeform narrative response.
Basic 31/40|Specialized 58/60|Total 89/100
✅A1The meta-title-generator 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
89
Stress✅ Pass
End-to-end case for Scope-focused workflow aligned to: Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise. Use when the user wants to brainstorm or generate titles for a meta-analysis, specifically starting from keywords or a topic
Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search... remained an analysis-style extraction path whose value came from structured data capture rather than a freeform narrative response.
Basic 28/40|Specialized 60/60|Total 89/100
✅A1The meta-title-generator 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 Total90.6 / 100
Key Strengths
- Primary routing is Data Analysis with execution mode B
- Static quality score is 77/100 and dynamic average is 77.6/100
- Assertions and command execution outcomes are recorded per input for human review
- Execution verification summary: Script verification 1/1; adjustment=5. search_pubmed.py: OK