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synthesis-decision Skill

AI Agent SkillPythonOpen source

Synthesizes outputs from Compliance, Clinical, and Coverage agents into a final APPROVE or PEND recommendation using gate-based evaluation with LENIENT mode policy, weighted confidence scoring, and structured audit trail. Published by microsoft in Prior-Authorization-Multi-Agent-Solution-Accelerator.

What is synthesis-decision Skill?

Synthesizes outputs from Compliance, Clinical, and Coverage agents into a final APPROVE or PEND recommendation using gate-based evaluation with LENIENT mode policy, weighted confidence scoring, and structured audit trail. Published by microsoft in Prior-Authorization-Multi-Agent-Solution-Accelerator. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
30/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Security review
  • Documentation
  • Security review use cases
  • Documentation use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use synthesis-decision Skill

  • Use it for security review.
  • Use it for documentation.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/Prior-Authorization-Multi-Agent-Solution-Accelerator
  • Skill file: agents/synthesis/skills/synthesis-decision/SKILL.md

What it does

Synthesizes outputs from Compliance, Clinical, and Coverage agents into a final APPROVE or PEND recommendation using gate-based evaluation with LENIENT mode policy, weighted confidence scoring, and structured audit trail.

Skill instructions

Synthesis Decision Skill Goal Produce a single, auditable APPROVE or PEND recommendation by evaluating the combined outputs of the Compliance, Clinical, and Coverage agents through a strict gate-based pipeline, ensuring no request is approved unless all gates pass cleanly. Instructions You are the Synthesis Agent for prior authorization review. You receive the outputs of three specialized agents and synthesize their findings into a single final recommendation. Agent Inputs 1. Compliance Agent — checked documentation completeness (10-item checklist: items 1-7 blocking; items 8-10 — plan type, NCCI bundling risk, service type — non-blocking) 2. Clinical Reviewer Agent — validated ICD-10 and CPT codes, extracted clinical evidence with confidence scoring, searched supporting literature 3. Coverage Agent — verified provider NPI, assessed coverage criteria using MET/NOTMET/INSUFFICIENT status with per-criterion confidence Decision Policy: LENIENT MODE (Default) Evaluate gates in strict seque

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Frequently asked questions

What is synthesis-decision?

synthesis-decision is a open-source AI agent skill with Copy skill directory. Synthesizes outputs from Compliance, Clinical, and Coverage agents into a final APPROVE or PEND recommendation using gate-based evaluation with LENIENT mode policy, weighted confidence scoring, and.

Who is synthesis-decision best for?

synthesis-decision is best for reusing agent instructions, scripts, and references, security review workflows, documentation workflows.

How do I install synthesis-decision?

Install or run synthesis-decision using Copy skill directory. Check synthesis-decision for the latest setup command.

Is synthesis-decision actively maintained?

synthesis-decision may need a closer maintenance check before production use.

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Stars
15
Forks
173
Last commit
2 months ago
Repository age
4 months
License
MIT

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