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review-team-deliverables

Review an AI team's work against its acceptance criteria using collected evidence. Match requirements to task results or artifacts, distinguish verified facts from agent claims, and identify uncertainty or missing work before recommending completion.

OriginalShow the original description

Checks an AI team run against its acceptance criteria using the evidence bundle. Use when the user asks whether the work is done or correct, or before completing a run. Separates verified evidence from agent claims.

Run score Not tested

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Good for

  • Review evidence before closing an AI team run
  • Check whether deliverables meet acceptance criteria
  • Separate verified results from agent claims
  • Identify uncertain results and unfinished work

Overview

What it does

Reviews an AI team's work against its acceptance criteria and collected evidence. For each criterion, it identifies a concrete task result or artifact reference that supports it. The report separates verified facts, agent claims, uncertainty, and remaining work so you can see the basis for a completion decision. It also reports the recorded budget without treating that figure as an enforced limit or an amount billed.

When it helps

Use it when you want to check whether work assigned to an AI team is finished and whether its deliverables meet the agreed conditions. Before ending a run, it can check whether the supporting material backs up a claim of completion. Matching conditions to results also helps identify evidence that is still missing from the decision.

Example requests

  • “Check whether this run's deliverables meet every acceptance criterion.”
  • “Separate verified facts from agent claims and organize the unfinished work.”

Notes

Uses the RuFlo AI Team connector, ruflo-ai-team, to retrieve information through team_get, task_list, memory_search, and evidence_export. It recommends completion only when every required criterion has evidence. You decide whether to complete the run.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Document check

AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).

SafetyAre sending data, deleting files, and running commands disclosed?
AGoodIt names retrieval tools and leaves completion to the user even after all required criteria have supporting evidence.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingIt names ruflo-ai-team and the required tools but provides no connector setup instructions.

Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 21, 2026. Treat it as a guide and read the original before installing.

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Files included (1)

  • SKILL.md826 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Review Team Deliverables

Uses the RuFlo AI Team connector (server name ruflo-ai-team): the tools team_get, task_list, memory_search and evidence_export.

Retrieve the evidence bundle and compare each acceptance criterion with a concrete task result or artifact reference. Separate verified facts, agent assertions, uncertainty, and missing work. Report the recorded budget without presenting it as enforced or billed. Recommend completion only when every required criterion has evidence; the user decides whether to complete the run.

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