maf-tracing
maf-tracing is an LLM evaluation & observability skill for AI agents, published by microsoft in the promptflow repository on GitHub. Skillspace rates maf-tracing D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Enable tracing and logging for Microsoft Agent Framework (MAF) workflows. Configures OpenTelemetry export to Azure Application Insights and/or a generic OTLP endpoint using environment variables. Adds required packages to requirements.txt. WHEN: enable tracing, add tracing, enable logging, add logging, configure telemetry, Application Insights for MAF, OTLP export, observe workflow, monitor agent workflow, trace agent framework, instrument MAF, add observability, trace workflow executions, debug workflow.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 11,186
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 89 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Tracing for Microsoft Agent Framework via Application Insights or OTLP
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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