← Back to Skills Marketplace
Polymarket Macro Sentiment Divergence Trader
by
diagnostikon
· GitHub ↗
· v0.0.3
· MIT-0
169
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install polymarket-macro-sentiment-divergence-trader
Description
Detects macro sentiment divergence across Polymarket prediction markets. When positive-sentiment categories (sports winners, tech milestones, entertainment,...
Usage Guidance
This skill appears to do what it says (paper trading by default, live only with --live) and only requests a single trading credential (SIMMER_API_KEY). Before installing or running with real funds: 1) Verify the simmer-sdk package on PyPI and its upstream GitHub repository to ensure it's the legitimate library you expect. 2) Correct/confirm the metadata discrepancy (the registry header you were shown said no required env vars, but clawhub.json and SKILL.md require SIMMER_API_KEY). 3) Keep the API key secret and test thoroughly in paper mode; review trader.py yourself or with a trusted reviewer for any hidden network calls or unexpected behaviors (the provided file appears benign but was truncated in your dump). 4) Confirm the versioning (clawhub.json says version 0.0.2 while the registry lists 0.0.3) and prefer published releases from known authors. If you plan live trading, do a careful code audit and start with minimal capital.
Capability Analysis
Type: OpenClaw Skill
Name: polymarket-macro-sentiment-divergence-trader
Version: 0.0.3
The skill implements a legitimate trading strategy for Polymarket based on macro sentiment divergence. The code in `trader.py` uses the `simmer-sdk` to analyze market probabilities and execute trades, featuring a 'safe by default' paper-trading mode unless explicitly toggled. No evidence of data exfiltration, credential theft, or malicious prompt injection was found in the documentation or logic.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description, SKILL.md, and trader.py all describe the same capability: discover Polymarket markets, compute a sentiment divergence signal, and place trades via the Simmer SDK. Requiring SIMMER_API_KEY and simmer-sdk is coherent with that purpose.
Instruction Scope
SKILL.md and trader.py focus on market discovery, classification, divergence calculation, and trading. The skill defaults to paper mode (sim) and requires an explicit --live flag for real trades. There are no instructions to read unrelated files or exfiltrate non-essential data.
Install Mechanism
There is no separate install spec, but clawhub.json lists a pip dependency (simmer-sdk). Installing a third‑party PyPI package is a moderate risk: verify the exact package name/version and its upstream repository before installing/run‑time use.
Credentials
The runtime uses a single credential (SIMMER_API_KEY) which is appropriate for trading. However, the top-level skill metadata provided to you earlier claimed "Required env vars: none" while clawhub.json and SKILL.md both require SIMMER_API_KEY — this metadata mismatch is inconsistent and should be corrected/verified. Ensure the API key is treated as high‑value and not leaked.
Persistence & Privilege
autostart/cron are false/null and always is false. The automaton entrypoint exists but nothing runs automatically by default. The skill does not request system‑level privileges or modify other skills' configs (it calls apply_skill_config for its own config if available).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install polymarket-macro-sentiment-divergence-trader - After installation, invoke the skill by name or use
/polymarket-macro-sentiment-divergence-trader - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.0.3
SDK resilience: try/except runt apply_skill_config
v0.0.2
fix: add _client.live=True so --live actually routes to polymarket-venue for real USDC trades
v1.0.1
Fix apply_skill_config AttributeError for new Simmer SDK compatibility
v1.0.0
- Initial release of Macro Sentiment Divergence Trader skill.
- Detects and trades logical inconsistencies in macro sentiment across Polymarket categories (positive/negative).
- Classifies markets into sentiment buckets, computes divergence index, and trades against the stale side.
- Flexible safety features: paper trading by default, live trading only with explicit flag.
- Includes extensive parameterization (risk controls, thresholds) and UI integration tunables.
- Integrates with simmer-sdk for market access and trade execution.
Metadata
Frequently Asked Questions
What is Polymarket Macro Sentiment Divergence Trader?
Detects macro sentiment divergence across Polymarket prediction markets. When positive-sentiment categories (sports winners, tech milestones, entertainment,... It is an AI Agent Skill for Claude Code / OpenClaw, with 169 downloads so far.
How do I install Polymarket Macro Sentiment Divergence Trader?
Run "/install polymarket-macro-sentiment-divergence-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Polymarket Macro Sentiment Divergence Trader free?
Yes, Polymarket Macro Sentiment Divergence Trader is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Polymarket Macro Sentiment Divergence Trader support?
Polymarket Macro Sentiment Divergence Trader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Polymarket Macro Sentiment Divergence Trader?
It is built and maintained by diagnostikon (@diagnostikon); the current version is v0.0.3.
More Skills