| name | primr-qa |
| version | 1.1.0 |
| description | Review Primr outputs and diagnose integration issues. Use when the user wants report quality assessment, output review, or system health checks. |
| metadata | {"openclaw":{"requires":{"bins":["primr-mcp"],"env":["XAI_API_KEY","GEMINI_API_KEY"],"os":["linux","darwin","win32"]}}} |
| mcp_server | primr |
| tools | ["run_qa","doctor"] |
| resources | ["primr://output/latest","primr://config"] |
Primr QA Skill
Conceptual Framework
Use QA to judge research usefulness and trustworthiness, not just formatting. Use diagnostics when the failure is operational rather than editorial.
This skill should stay close to MCP outputs. Avoid embedding fixed provider assumptions in the skill body.
Operational Capabilities
1. Run quality assessment
Read primr://output/latest when no path is specified, then call run_qa on the concrete report file.
run_qa(report_path="output/exampleco/report.md")
2. Run diagnostics
Call doctor when the issue looks like environment, API, or runtime configuration rather than report quality.
3. Interpret results
Focus on factual gaps, weak evidence, and thin strategic interpretation before cosmetic issues.
Error Handling
-
QA failures: run doctor and confirm the report path.
-
Low scores: identify the weakest sections and recommend one next action.
-
Config issues: use primr://config and doctor to explain what is missing.