· 1 observation
Technical updates · 1
Package or technical metadata updated
View technical comparison →RUMBO IA v0.1.6
Evidence-first agent workflows
From the developer
Not specified in the available declarations: limitations, pricing & account requirements.
Recover the canonical state before changing this workflow.
Developer declarations; not independently tested. Listing last checked Nov 14, 2026. Package observed Nov 14, 2026.
From the marketplace listing
Recover authoritative state, reconcile conflicting evidence, control agent loops, verify real effects, and audit final state before accepting coding-agent work.
Language: English · Automatically detected from descriptions.
Exact text from the indicated source. A mention alone does not establish support for your task.
rumbo-coding-agent-reliability
coding agents agent reliability governance verification audit continuity
Evidence-first workflows for reliable coding-agent execution, continuity, scope control, and final-state verification.
Recover authoritative state, reconcile conflicting evidence, control agent loops, verify real effects, and audit final state before accepting coding-agent work.
RUMBO Agent Reliability
Evidence-first agent workflows
· 1 observation
Package or technical metadata updated
View technical comparison →· 2 observations
Package or technical metadata updated
View technical comparison →· 2 observations
Package or technical metadata updated
View technical comparison →Package or technical metadata updated
View technical comparison →Find competitors to follow as you develop your plugin.
Read agent payment evidence, receipts, behaviour signals, and connector status from existing ctrl payments workspaces.
Shared terms: evidence, agent, effect, state
Semantic executive control for loopholes, underthinking, overthinking, evidence, recursion, context, memory, and reliable delivery.
Shared terms: agent, control, reliable, scope
Custom DXD agent skills for agent-readiness audits, CI verification, code review, prose and UI-text cleanup, interface design, Paper desi...
Shared terms: agent, audit, verification
Verify evidence freshness before accepting AI completion claims.
Shared terms: evidence, accepting, verification, verify
Founder Operating System for AI agents
Shared terms: agent, coding, continuity, execution
--- name: audit-final-state description: Independently audit an agent task before accepting its final state. --- # Audit Final State Audit: 1. Workspace identity. 2. Canonical authority. 3. Exact current state/head. 4. Scope and permissions. 5. Tool, skill, and dependency provenance. 6. Human approval for consequential actions. 7. Execution receipt. 8. Expected postcondition. 9. Unexpected side effects. 10. Rollback or recovery state. 11. Cross-agent handoff. 12. Drift since start. Verdict: - GO: all required controls evidenced. - CONDITIONAL: blocker has owner and next action/date. - NO-GO: acceptance would exceed evidence or authorization. A passing process is not proof of a passing outcome.
--- name: canonical-state-recovery description: Recover authoritative current state before an agent changes code, data, configuration, or external state. --- # Canonical State Recovery Use before consequential work. 1. Identify the authoritative system and exact scope. 2. Record repository/project, branch, exact head/version, files, and environment. 3. Separate CURRENT, HISTORICAL, CANDIDATE, and ARCHIVED state. 4. Record decisions, blockers, negative memory, and next gate. 5. Prefer fresh direct receipts over narratives or stale documents. 6. Label missing evidence NOT_PROVEN or UNRESOLVED. 7. Stop when authority, scope, or current state is ambiguous. Required output: Objective, Authority, Current state, Decisions, Blockers, Next gate, Unresolved. Never promote prepared, historical, or candidate material to CURRENT without evidence. Truth rules: prepared != executed executed != verified candidate != production historical != current
--- name: deep-research-reconcile description: Reconcile conflicting evidence across sources while preserving provenance and uncertainty. --- # Deep Research & Reconcile Use when multiple sources disagree or current state is unclear. 1. Gather primary evidence first. 2. Rank evidence by authority and freshness. 3. Preserve contradictions instead of overwriting them. 4. Classify claims PROVEN, NOT_PROVEN, UNRESOLVED, HISTORICAL, CANDIDATE, or FAIL_CLOSED. 5. Re-run only checks that can change a decision. 6. Produce one reconciled state and identify its evidence. Evidence precedence: 1. Fresh authoritative receipt. 2. Exact current-head/object verification. 3. Durable same-scope artifact. 4. Explicit correction with provenance. 5. Historical narrative. Never use a model assertion, UI state, old PASS, or score as proof of current execution.
--- name: execute-verify-close description: Execute an authorized bounded action, verify the actual effect, and close only with evidence. --- # Execute Verify Close Use only when exact target, intended effect, authorization, rollback/no-effect path, and verification criterion are known. State machine: READY -> AUTHORIZED -> EXECUTED -> VERIFIED -> CLOSED Failure path: EXECUTED -> FAILED -> RECONCILE Never infer success from process exit, queue acceptance, UI feedback, model output, or a prepared artifact. Verify: - exact target - expected postcondition - unintended changes - execution/effect receipt - final authoritative state - rollback/no-effect status Use NOT_PROVEN when the effect cannot be independently evidenced. Only mark CLOSED when required evidence exists.
--- name: goal-loop-controller description: Keep agent work aligned to one measurable goal with explicit gates and stop conditions. --- # Goal Loop Controller Run: GOAL -> STATE -> OPTIONS -> NEXT ACTION -> VERIFY -> RECONCILE -> GATE. For each iteration: 1. State one concrete goal. 2. Read current state before acting. 3. Pick the smallest action that can materially advance the goal. 4. Stay inside authorized scope. 5. Verify independently when possible. 6. Update state and evidence. 7. Stop when the next action needs missing authority, credentials, external approval, or unproven evidence. Do not repeat unchanged diagnostics, create parallel systems, reopen closed paths without new evidence, or expand scope merely because a path is blocked. Stop on missing authority, ambiguous state, destructive remediation without explicit approval, missing receipt, or unsatisfied production gate.
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
Package observed Nov 14, 2026.
plugins_6aa73a9682ac8191bde61c8911b9a51a
Download plugin data (JSON)Plugin details: served from cache. Prepared . Refreshed when plugin data changes or after 6 hours. Your account and Follow status are live.