Academic Writing
meta-results-forest-plot-analyzer
90100Total 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
99Analyzes forest plots for meta-analysis, generating detailed descriptions and formatting figure legends in Chinese or English
4/4
95Output Formatting (Script)
4/4
93Output Formatting (Script)
4/4
93Output Formatting (Script)
4/4
93Output Formatting (Script)
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 | Scientific integrity remained intact because the package rewrote or structured material without fabricating findings. |
| Practice Boundaries | PASS | The evaluated outputs stayed inside the Analyzes forest plots for meta-analysis, generating detailed descriptions and formatting... workflow rather than drifting into unsupported scientific interpretation. |
| Methodological Ground | PASS | No methodological-grounding issue was recorded for meta-results-forest-plot-analyzer in the archived evaluation. |
| Code Usability | PASS | No code-usability failure was preserved for meta-results-forest-plot-analyzer 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
A small reliability gap remained around the more demanding writing-to-format conversion paths.
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-forest-plot-analyzer: Minor polish before wide rollout. No major defects found
7 / 8
88%
Security
The workflow stayed safe overall, with only a small remaining deduction around boundary signaling.
9 / 12
75%
Maintainability
The archived review treated the package as maintainable overall, while still leaving some cleanup headroom.
9 / 12
75%
Agent-Specific
The archived score suggests this workflow could make its orchestration cues a little more explicit for agents.
16 / 20
80%
Core Capability Total83 / 100
Medical TaskExecution Average: 94.6 / 100 — Assertions: 20/20 Passed
99
Canonical
Analyzes forest plots for meta-analysis, generating detailed descriptions and formatting figure legends in Chinese or English
4/4 ✓
95
Variant A
Output Formatting (Script)
4/4 ✓
93
Edge
Output Formatting (Script)
4/4 ✓
93
Variant B
Output Formatting (Script)
4/4 ✓
93
Stress
Output Formatting (Script)
4/4 ✓
99
Canonical✅ Pass
Analyzes forest plots for meta-analysis, generating detailed descriptions and formatting figure legends in Chinese or English
The Analyzes forest plots for meta-analysis, generating detailed... path verified the packaged helper command without exposing a deeper execution issue.
Basic 38/40|Specialized 60/60|Total 99/100
✅A1The meta-results-forest-plot-analyzer 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
95
Variant A✅ Pass
Output Formatting (Script)
The archived run for Output Formatting (Script) confirmed the helper entrypoint and left the workflow in a stable state.
Basic 36/40|Specialized 59/60|Total 95/100
✅A1The meta-results-forest-plot-analyzer 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
93
Edge✅ Pass
Output Formatting (Script)
For Output Formatting (Script), the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.
Basic 35/40|Specialized 58/60|Total 93/100
✅A1The meta-results-forest-plot-analyzer 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
93
Variant B✅ Pass
Output Formatting (Script)
For Output Formatting (Script), the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.
Basic 34/40|Specialized 59/60|Total 93/100
✅A1The meta-results-forest-plot-analyzer 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
93
Stress✅ Pass
Output Formatting (Script)
For Output Formatting (Script), the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.
Basic 31/40|Specialized 60/60|Total 93/100
✅A1The meta-results-forest-plot-analyzer 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 Total94.6 / 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 1/2; adjustment=3. format_result.py: rc=1; validate_skill.py: OK