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RUMBO Agent Reliability

ChatGPT plugin

Evidence-first agent workflows

View in ChatGPT directory

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

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Movement

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Rank by placement

#5217of 11,3607places up24h14places up7d
#5,178#5,296#5,414#5,532Oct 6Oct 12Oct 18Oct 24Oct 30Nov 4

Rank in Productivity

#1116of 2,8844places up24h07d
#1,105#1,139#1,173#1,207Oct 6Oct 12Oct 18Oct 24Oct 30Nov 4

In its category

How this plugin compares with others in the same category. Positions are counted within the category, not across the whole directory.

Productivity1,116th of 2,884 by placement
#PluginPosition7d
1114Roomwise#5208435places up
1115STATEC Explorer#521467places down
1116RUMBO Agent ReliabilityThis page#521714places up
1117report writing tool#521852places up
1118GINA CodeRabbit Curator#522217places down

All 2,884 Productivity plugins

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
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On Install
Capabilities
Read
Availability
Available
Version
0.1.6
Keywords
coding agents, agent reliability, governance, verification, audit, continuity
Created
September 14, 2026
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