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consensus-persona-respawn

Ledger-informed persona lifecycle management. Replaces low-performing personas with successor personas derived from mistake patterns in board decision histor...

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Ledger-informed persona lifecycle management. Replaces low-performing personas with successor personas derived from mistake patterns in board decision histor...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
AI-SELF-IMPROVEMENT.md, README.md, SKILL.md, examples/input.json, metadata.json, package-lock.json

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.1.13

Documentation

ClawHub primary doc Primary doc: SKILL.md 11 sections Open source page

consensus-persona-respawn

consensus-persona-respawn is the adaptive maintenance loop for persona governance.

What this skill does

identifies dead/weak personas by trigger or reputation threshold mines historical decision artifacts for mistake patterns generates successor persona profiles informed by those failures writes persona_respawn and updated persona_set artifacts keeps governance panel quality from stagnating

Why this matters

A static evaluator panel drifts over time. This skill provides lifecycle renewal so consensus quality improves instead of degrading.

Ecosystem role

Consumes persona-engine outputs for long-term adaptation and ties directly into board-ledger evidence.

Best use cases

long-running agent teams recurring decision domains with repeated failure classes autonomous systems requiring evaluator maintenance

Runtime and network behavior

runtime binaries: node, tsx network calls: none in shipped respawn logic environment config read by this package: CONSENSUS_STATE_FILE, CONSENSUS_STATE_ROOT filesystem writes: board/state artifacts under the configured consensus state path

Dependency trust model

consensus-guard-core is the first-party consensus package used in runtime execution versions are semver-pinned in package.json for reproducible installs this skill does not request host-wide privileges and does not mutate other skills

Install

npm i consensus-persona-respawn

Quick start

node --import tsx run.js --input ./examples/input.json

Tool-call integration

This skill is wired to the consensus-interact contract boundary (via shared consensus-guard-core wrappers where applicable): readBoardPolicy getLatestPersonaSet / getPersonaSet writeArtifact / writeDecision idempotent decision lookup This keeps board orchestration standardized across skills.

Invoke Contract

This skill exposes a canonical entrypoint: invoke(input, opts?) -> Promise<OutputJson | ErrorJson> invoke() executes persona replacement based on lineage and failure patterns. Reputation deltas are expected from consensus-persona-engine outputs.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Docs3 Config
  • SKILL.md Primary doc
  • AI-SELF-IMPROVEMENT.md Docs
  • README.md Docs
  • examples/input.json Config
  • metadata.json Config
  • package-lock.json Config