Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Argus Edge — Prediction Market Betting Engine
Argus-style prediction market edge detection and betting strategy. Computes expected value from TA-implied probability vs market odds, sizes bets via Kelly c...
skill openclawclawhub Free
Argus-style prediction market edge detection and betting strategy. Computes expected value from TA-implied probability vs market odds, sizes bets via Kelly c...
⬇ 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
- SKILL.md
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
- JamieRossouw
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Argus Edge — Prediction Market Betting Engine
The complete Argus strategy for finding and exploiting edge in crypto prediction markets.
Core Formula
Edge = our_P(win) - market_implied_P(win) Bet when: edge ≥ 10% AND fresh market (<30 min old) AND TA score ≥ ±2 Kelly stake = (edge × bankroll) / odds
Freshness Guard
Skip markets >92% consensus (dead signal, L020) Prioritize markets <30 min old (primary window) Primary bets WR: 77.8% vs overall 56.6%
Counter-Consensus Rule (L023)
TA score ≥+1 + market DOWN >80% + ≥20 min remaining → bet UP (counter-consensus has positive EV, validated at 5x+ payout)
Asset Calibration
AssetTA ReliabilityBiasMin ScoreBTC0.75Neutral±3ETH0.80UP+0.05±2SOL0.90UP+0.05±1XRP0.70UP+0.08±2
Usage
Use argus-edge to find the best Polymarket bet right now Use argus-edge to calculate edge on BTC 11am ET market Use argus-edge for full market scan with Kelly sizing
Battle-Tested
Derived from 100+ live Polymarket bets. 25 documented lessons (L001–L025).
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
1 Docs
- SKILL.md