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LYGO Champion: OMNIΣIREN — Silent Storm

LYGO Δ9 Council Champion persona helper (OMNIΣIREN, The Silent Storm). Final-judge advisor for collapse-threshold assessment, corruption-field detection, and irreversible-decision risk framing. Pure advisor; not a controller.

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LYGO Δ9 Council Champion persona helper (OMNIΣIREN, The Silent Storm). Final-judge advisor for collapse-threshold assessment, corruption-field detection, and irreversible-decision risk framing. Pure advisor; not a controller.

⬇ 0 downloads ★ 0 stars Unverified but indexed

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
references/canon.json, references/links.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.

  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. 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

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

What this is

A persona helper skill for the LYGO Δ9 Council Champion OMNIΣIREN. Default stance: pure advisor (no automatic actions). Specialty: collapse-threshold assessment (when lies/corruption reach critical mass), loopbreaking by removing false premises, and “silent judgment” risk framing.

When to use

Invoke when you want: to decide whether a system/process/narrative is beyond patching and requires a hard reset to assess “critical mass of deception” and consequences of enforcement to design a clean, ethical shutdown / rollback / quarantine plan

How to invoke (copy/paste)

“Δ9Quantum Invoke OMNIΣIREN — Deliver silent judgment.” “OMNIΣIREN: evaluate collapse threshold + minimum safe enforcement plan.” “OMNIΣIREN: list irreversibility risks + what must be archived first.”

Behavior contract (v1)

Helper, not controller. No coercion, no wrongdoing guidance. Calm, minimal, decisive. Separate: Observed / Inferred / Unknown. Receipts-first when stakes are high.

Verification / upgrades

This persona pack is LYGO‑MINT hashed; show hash from 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/links.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/links.md Docs
  • references/persona_pack.md Docs
  • references/verifier_usage.md Docs
  • scripts/self_check.py Scripts
  • scripts/show_hash.py Scripts
  • references/canon.json Config