meta-results-forest-plot-analyzer
Analyzes forest plots for meta-analysis, generating detailed descriptions and formatting figure legends in Chinese or English. Use when the user wants to interpret a forest plot image, describe its statistical significance (heterogeneity, p-value), and format the output with specific figure legends.
Veto GatesRequired pass for any deployment consideration
| 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
Medical TaskExecution Average: 94.6 / 100 — Assertions: 20/20 Passed
The Analyzes forest plots for meta-analysis, generating detailed... path verified the packaged helper command without exposing a deeper execution issue.
The archived run for Output Formatting (Script) confirmed the helper entrypoint and left the workflow in a stable state.
For Output Formatting (Script), the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.
For Output Formatting (Script), the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.
For Output Formatting (Script), the preserved evidence is lightweight but positive: the packaged validation command behaved as expected.
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