Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Numinous Forecast
Get calibrated probabilities from Numinous (Bittensor Subnet 6) with metadata/provenance.
skill openclawclawhub Free
Get calibrated probabilities from Numinous (Bittensor Subnet 6) with metadata/provenance.
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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
- numinous_api.py, SKILL.md, predict_query.py, predict_event.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
- 1.0.3
Provenance
- Publisher
- Juandbalbi
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Numinous Forecast
This skill calls the Numinous forecasting API and returns a calibrated probability (p \in [0,1]) plus metadata/provenance. Note: requests are paid per-call via x402 (HTTP 402 β pay β retry). Youβll need a wallet key configured (see setup).
Setup
Install Python deps (recommended: uv). EVM-only (recommended): uv pip install "x402[httpx,evm]" If you also want Solana payments: uv pip install "x402[httpx,evm,svm]" Set the buyer key (required): NUMINOUS_X402_EVM_PRIVATE_KEY: EVM key (0xβ¦) for Base / EVM payments Optional (Solana payments): NUMINOUS_X402_SVM_PRIVATE_KEY: Solana key (base58) for Solana payments Optional: NUMINOUS_X402_PREFER: auto (default) | evm | svm Security note: these are private keys. Treat them like cash. Donβt paste them into chats/logs.
Predict (query mode)
python3 "{baseDir}/predict_query.py" "Will BTC be above $100k by 2026-12-31?" python3 "{baseDir}/predict_query.py" "Will Team X win League Y in 2026?" --topics sports
Predict (event mode)
python3 "{baseDir}/predict_event.py" \ --title "Will BTC be above $100k by 2026-12-31?" \ --description "Resolve YES if BTC/USD spot price is strictly above $100,000 at 2026-12-31 23:59:59 UTC." \ --cutoff "2026-12-31T23:59:59Z" \ --topics general
Output
Both scripts print JSON with these top-level fields: ok: true|false prediction: probability (p \in [0, 1]) forecasted_at: ISO timestamp (UTC) forecaster_name: forecaster identifier metadata: provenance/debug context (see below) parsed_fields: query mode only β structured event parsed from your query (see below) error: null on success; otherwise an error string
metadata (common keys)
pool: aggregation pool name miner_uid: miner UID chosen for this forecast miner_hotkey: miner hotkey identifier reasoning: model reasoning / explanation text agent_name: which forecaster agent produced the result version_id: model/version identifier version_number: integer version raw_prediction: original prediction value before any formatting event_title: resolved event title event_cutoff: resolved cutoff timestamp (UTC)
parsed_fields (query mode only)
title: resolved event title description: resolution criteria / event description cutoff: ISO cutoff (often ends with Z) topics: list of topic tags
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 Scripts1 Docs
- SKILL.md
- numinous_api.py
- predict_event.py
- predict_query.py