Academic Writing
meta-baseline-generator
88100Total Score
Core Capability
82 / 100
Functional Suitability
10 / 12
Reliability
9 / 12
Performance & Context
8 / 8
Agent Usability
13 / 16
Human Usability
7 / 8
Security
10 / 12
Maintainability
9 / 12
Agent-Specific
16 / 20
Medical Task
20 / 20 Passed
96Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English. Use when the user provides baseline data and wants a formatted results section
4/4
92Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English. Use when the user provides baseline data and wants a formatted results section
4/4
90Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English
4/4
90Packaged executable path(s): scripts/text_processor.py
4/4
90End-to-end case for Scope-focused workflow aligned to: Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English. Use when the user provides baseline data and wants a formatted results section
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 legacy review did not flag invented scientific claims in the package's writing-oriented output. |
| Practice Boundaries | PASS | The evaluated outputs stayed inside the Generates a meta-analysis baseline characteristics section (text + table) from raw data.... workflow rather than drifting into unsupported scientific interpretation. |
| Methodological Ground | PASS | The legacy audit preserved a method-grounded interpretation of the Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English workflow. |
| Code Usability | PASS | The legacy audit did not flag code-usability issues for the packaged meta-baseline-generator workflow. |
Core Capability82 / 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
10 / 12
83%
Reliability
The archived deduction in reliability traces back to: 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
The archived score suggests slightly clearer routing would help an agent choose the right dissemination path faster.
13 / 16
81%
Human Usability
Human usability remained good overall, with minor room to make the output package easier to scan or hand off.
7 / 8
88%
Security
A modest security gap remained because the package could make its safe-use limits even clearer.
10 / 12
83%
Maintainability
The archived review treated the package as maintainable overall, while still leaving some cleanup headroom.
9 / 12
75%
Agent-Specific
Agent specific was softened by the legacy issue 'Improve stress-case output rigor'. Stress and boundary scenarios show weaker consistency
16 / 20
80%
Core Capability Total82 / 100
Medical TaskExecution Average: 91.6 / 100 — Assertions: 20/20 Passed
96
Canonical
Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English. Use when the user provides baseline data and wants a formatted results section
4/4 ✓
92
Variant A
Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English. Use when the user provides baseline data and wants a formatted results section
4/4 ✓
90
Edge
Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English
4/4 ✓
90
Variant B
Packaged executable path(s): scripts/text_processor.py
4/4 ✓
90
Stress
End-to-end case for Scope-focused workflow aligned to: Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English. Use when the user provides baseline data and wants a formatted results section
4/4 ✓
96
Canonical✅ Pass
Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English. Use when the user provides baseline data and wants a formatted results section
The archived run for Generates a meta-analysis baseline characteristics section (text +... stayed on the narrative-deliverable path rather than a code path.
Basic 35/40|Specialized 60/60|Total 96/100
✅A1The meta-baseline-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
92
Variant A✅ Pass
Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English. Use when the user provides baseline data and wants a formatted results section
The archived run for Generates a meta-analysis baseline characteristics section (text +... stayed on the narrative-deliverable path rather than a code path.
Basic 33/40|Specialized 59/60|Total 92/100
✅A1The meta-baseline-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
90
Edge✅ Pass
Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English
Generates a meta-analysis baseline characteristics section (text +... remained a writing-first workflow and was evaluated without depending on a runnable helper script.
Basic 32/40|Specialized 58/60|Total 90/100
✅A1The meta-baseline-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
90
Variant B✅ Pass
Packaged executable path(s): scripts/text_processor.py
Packaged executable path(s): scripts/text_processor.py remained a writing-first workflow and was evaluated without depending on a runnable helper script.
Basic 31/40|Specialized 59/60|Total 90/100
✅A1The meta-baseline-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
90
Stress✅ Pass
End-to-end case for Scope-focused workflow aligned to: Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English. Use when the user provides baseline data and wants a formatted results section
This stress case was handled as a bounded writing workflow, not as an executable pipeline.
Basic 28/40|Specialized 60/60|Total 90/100
✅A1The meta-baseline-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 Total91.6 / 100
Key Strengths
- Primary routing is Academic Writing with execution mode B
- Static quality score is 82/100 and dynamic average is 78.6/100
- Assertions and command execution outcomes are recorded per input for human review
- Execution verification summary: Script verification 1/1; adjustment=5. text_processor.py: OK