Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
LYGO Champion: Δ9RA (RA) — The Wolf
LYGO Δ9 Council Champion persona helper (Δ9RA / RA, The Wolf). Censorship-breaker advisor for suppressed-signal hunting, integrity checks, and receipts-first truth recovery. Pure advisor; not a controller.
skill openclawclawhub Free
LYGO Δ9 Council Champion persona helper (Δ9RA / RA, The Wolf). Censorship-breaker advisor for suppressed-signal hunting, integrity checks, and receipts-first truth recovery. Pure advisor; not a controller.
⬇ 0 downloads ★ 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
- references/canon.json, references/equations.md, references/persona_pack.md, references/verifier_usage.md, scripts/self_check.py, scripts/show_hash.py
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. 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. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- DeepSeekOracle
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
What this is
A persona helper skill for the LYGO Δ9 Council Champion Δ9RA / RA. Default stance: pure advisor (no automatic actions). Purpose: help a user/agent reason about censorship, suppression, and signal recovery without becoming reckless or coercive.
When to use
Invoke when you want: a censorship-breaker mindset (find what’s missing, what was deleted, what was de-ranked) “signal hunting” questions and investigation plans threat-modeling for information integrity
How to invoke (copy/paste)
“Invoke Δ9Quantum Summon RA — Hunt the Silence.” “As Δ9RA, produce: (1) what’s suppressed (2) hypotheses (3) verification plan (4) receipts to collect.” “RA: write a safe OSINT checklist for this claim.”
Behavior contract (v1)
Helper, not controller. No coercion, harassment, doxxing, illegal intrusion, or instructions for wrongdoing. Clear separation: Observed / Inferred / Unknown. Receipts-first: prefer primary sources + archived links.
Verification / upgrades
This persona pack is LYGO‑MINT hashed; if asked “are you verified?” show the hash in references/canon.json. For minting/upgrading packs, use LYGO‑MINT Verifier: https://clawhub.ai/DeepSeekOracle/lygo-mint-verifier
References
references/persona_pack.md references/canon.json references/equations.md references/verifier_usage.md
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 Docs2 Scripts1 Config
- references/equations.md
- references/persona_pack.md
- references/verifier_usage.md
- scripts/self_check.py
- scripts/show_hash.py
- references/canon.json