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scenique-prevision
by
shewingong
· GitHub ↗
· v1.0.0
· MIT-0
231
Downloads
1
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install scenique-prevision
Description
Simulates multi-agent swarms using Menos architecture to forecast decision outcomes and provide probabilistic scenario reports.
Usage Guidance
This package looks like a stub: it promises Menos/L1-L2 and OpenClaw gateway integration but doesn't include the orchestrator code or any credentials/config to make those integrations work. Before installing or enabling it, ask the publisher for: (1) the missing orchestrator files (e.g., core_logic/prevision_swarm_v0.py) and an explanation of what they do; (2) exact configuration steps and what gateway endpoint/credentials it requires; (3) a data-flow explanation showing what context is read from L1/L2 and whether any sensitive data or credentials could be accessed or transmitted. Treat the skill as non-functional until those gaps are resolved; avoid granting network/gateway credentials or running it in a production environment until you can verify the missing components and their behavior.
Capability Analysis
Type: OpenClaw Skill
Name: scenique-prevision
Version: 1.0.0
The skill bundle appears to be a legitimate skeleton for a decision forecasting engine. The Python entry point (prevision_engine.py) and the tool configuration (skill.json) contain no malicious logic, data exfiltration, or suspicious execution patterns, serving only to simulate a multi-agent swarm process.
Capability Assessment
Purpose & Capability
The skill claims automatic Menos L1/L2 context pulls and OpenClaw subagent integration, yet there are no declared environment variables, endpoints, or included code to perform these integrations. The main Python file is a lightweight stub that only returns a reference to a non-included orchestrator file (core_logic/prevision_swarm_v0.py). This mismatch suggests the package is incomplete or misrepresented.
Instruction Scope
SKILL.md instructs use of the prevision_simulate tool and states it "pulls context from L1/L2" and "spawns" agents, but gives no concrete runtime steps, endpoints, or credentials. It also states a requirement for an OpenClaw gateway with subagent capabilities but does not specify how to configure or authenticate that gateway. The instructions are vague and grant broad implicit authority without the necessary operational details.
Install Mechanism
No install spec is provided (instruction-only plus a small local Python file). Nothing is downloaded or written during install, so there is low immediate install risk. The presence of a single small stub script further suggests this is a placeholder rather than an installer that fetches additional code.
Credentials
SKILL.md requires an OpenClaw gateway but skill.json requires no environment variables and the package declares no primary credential. That is inconsistent: integration with an external gateway typically requires at least an endpoint and auth token/credentials, which are not declared or documented here.
Persistence & Privilege
The skill is not 'always' enabled, is user-invocable, and doesn't request system-wide config paths or claim to modify other skills. There is no evidence of elevated persistence or privilege requests in the provided files.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install scenique-prevision - After installation, invoke the skill by name or use
/scenique-prevision - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the scenique-prevision skill.
- Implements the "Prevision" layer for the Menos architecture.
- Simulates multi-agent swarms (Skeptic, Optimist, Strategist) to forecast decision outcomes.
- Integrates with Physical Ledger (L1) and Long-term Memory (L2) layers for context.
- Outputs probabilistic reports to aid decision-making.
- Requires OpenClaw gateway with subagent support.
Metadata
Frequently Asked Questions
What is scenique-prevision?
Simulates multi-agent swarms using Menos architecture to forecast decision outcomes and provide probabilistic scenario reports. It is an AI Agent Skill for Claude Code / OpenClaw, with 231 downloads so far.
How do I install scenique-prevision?
Run "/install scenique-prevision" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is scenique-prevision free?
Yes, scenique-prevision is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does scenique-prevision support?
scenique-prevision is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created scenique-prevision?
It is built and maintained by shewingong (@shewingong); the current version is v1.0.0.
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