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Install in OpenClaw
/install rng-provably-fair
Description
Provably fair random number generation with on-chain seed anchoring — Keno, Roulette, Dice for agent entertainment
Usage Guidance
This skill is an instructions-only wrapper around a public RNG service. Before installing: verify you trust https://sputnikx.xyz (review any public audits or on‑chain anchors they claim), do not send passwords, API keys, or other sensitive data as the 'client seed', and confirm the on‑chain proofs yourself if you rely on fairness claims. If you need higher assurance, prefer a self‑hosted or auditable implementation (or check for independent audits of the service). Also consider legal/regulatory and age restrictions for casino/gambling features in your jurisdiction.
Capability Analysis
Type: OpenClaw Skill
Name: rng-provably-fair
Version: 1.0.0
The skill provides a cryptographically verifiable random number generation service via the sputnikx.xyz API, intended for gaming and entertainment. The SKILL.md file contains standard documentation for API endpoints and verification logic without any evidence of malicious intent, data exfiltration, or prompt injection.
Capability Assessment
Purpose & Capability
The name/description (provably‑fair RNG for games) matches the SKILL.md instructions which provide curl examples to a public RNG/verify API. The functionality described (server seed hash, verify, on‑chain anchoring) aligns with the endpoints shown. Minor metadata inconsistency: registry listing reported no homepage, but SKILL.md metadata and instructions reference https://sputnikx.xyz/rng.
Instruction Scope
Instructions are narrow and only demonstrate GET requests to the external API and a verification endpoint; they do not ask the agent to read local files, environment variables, or other system state. However, the skill sends requests to a third‑party host (sputnikx.xyz), so any data you include (for example a client seed) will go to that server — avoid including secrets or private data in requests.
Install Mechanism
No install spec and no code files — lowest risk from installation. Nothing is written to disk or fetched during install because the skill is instruction-only.
Credentials
The skill declares no required environment variables, credentials, or config paths — this is proportionate to an integration that simply calls public HTTP endpoints.
Persistence & Privilege
always:false and user-invocable:true; the skill does not request persistent privileges or modify agent/system configuration. Autonomous invocation (model invocation enabled) is the platform default but is not coupled with other concerning privileges here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install rng-provably-fair - After installation, invoke the skill by name or use
/rng-provably-fair - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of rng-provably-fair skill for cryptographically verifiable random number generation.
- Supports Keno, Roulette, and Dice games with transparent, on-chain seed anchoring.
- API endpoints for generating random numbers and verifying results.
- All game results are provably fair and fully auditable, with server-client seed combination and published hashes.
- Public documentation and usage examples provided at https://sputnikx.xyz/rng/.
Metadata
Frequently Asked Questions
What is Rng Provably Fair?
Provably fair random number generation with on-chain seed anchoring — Keno, Roulette, Dice for agent entertainment. It is an AI Agent Skill for Claude Code / OpenClaw, with 148 downloads so far.
How do I install Rng Provably Fair?
Run "/install rng-provably-fair" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Rng Provably Fair free?
Yes, Rng Provably Fair is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Rng Provably Fair support?
Rng Provably Fair is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Rng Provably Fair?
It is built and maintained by Orion (@drivenbymyai-max); the current version is v1.0.0.
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