Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
consensus-support-reply-guard
Risk-aware support response governance with persona-weighted consensus. Detects legal/sensitive/confidentiality issues, applies hard-block policy checks, and...
skill openclawclawhub Free
Risk-aware support response governance with persona-weighted consensus. Detects legal/sensitive/confidentiality issues, applies hard-block policy checks, and...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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
- 1.1.15
Provenance
- Publisher
- kaicianflone
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
consensus-support-reply-guard
consensus-support-reply-guard is a customer-trust guard for support workflows.
What this skill does
evaluates support drafts before sending detects high-risk claim patterns blocks or rewrites responses when policy violations appear updates persona reputations based on final decision alignment preserves decision history in board artifacts
Why this matters
Support replies are high-frequency and brand-critical. This skill prevents overconfident legal/PII mistakes at scale.
Ecosystem role
Composes with consensus board state using explicit vote inputs and deterministic guard decisions.
Ideal scenarios
automated ticket triage replies L1/L2 AI response review gates regulated or enterprise support channels
Runtime, credentials, and network behavior
runtime binaries: node, tsx network calls: none in the guard decision path itself 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 guard 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
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() starts the guard flow and executes deterministic policy evaluation with board operations via shared guard-core wrappers.
external_agent mode
Guards support two modes: mode="external_agent": caller supplies external_votes[] from agents/humans/models for deterministic aggregation. mode="persona": requires an existing persona_set_id; guard will not generate persona sets internally.
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
- AI-SELF-IMPROVEMENT.md
- README.md
- examples/input.json
- metadata.json
- package-lock.json