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RUMBO Agent Reliability

ChatGPT plugin

Evidence-first agent workflows

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Rank by placement

#5300of 6,0221places down24h—7d
#5,268#5,361#5,454#5,547#5,640Sep 13Sep 19Sep 25Oct 1Oct 7Oct 12

Rank in Productivity

#1155of 1,3711places down24h—7d
#1,147#1,170#1,193#1,216Sep 13Sep 19Sep 25Oct 1Oct 7Oct 12

In its category

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Productivity1,155th of 1,371 by placement
#PluginPosition7d
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1153SRT Subtitle Translator#5295—
1154N7§Q2·Z9◇M4_V8∆X6#5299—
1155RUMBO Agent ReliabilityThis page#5300—
1156Mavixx Forge#5302—
1157Monday AI: Caption Coach#5303—
1158Unicycle#5304—

All 1,371 Productivity plugins

Recover authoritative state, reconcile conflicting evidence, control agent loops, verify real effects, and audit final state before accepting coding-agent work.

Example prompts

  • “Recover the canonical state before changing this workflow.”
  • “Reconcile conflicting agent execution receipts.”
  • “Audit this agent run and report what is actually proven.”

Skills

  • audit-final-state

    Independently audit an agent task before accepting its final state.

  • canonical-state-recovery

    Recover authoritative current state before an agent changes code, data, configuration, or external state.

  • deep-research-reconcile

    Reconcile conflicting evidence across sources while preserving provenance and uncertainty.

  • execute-verify-close

    Execute an authorized bounded action, verify the actual effect, and close only with evidence.

  • goal-loop-controller

    Keep agent work aligned to one measurable goal with explicit gates and stop conditions.

Categories
Made by
RUMBO IA · Website
Sign-in
On Install
Capabilities
Read
Availability
Available
Version
0.1.6
Keywords
coding agents, agent reliability, governance, verification, audit, continuity
Created
September 14, 2026
More info