← Back to Skills Marketplace
Polymarket Ai Tech Trader
by
diagnostikon
· GitHub ↗
· v0.0.3
· MIT-0
392
Downloads
0
Stars
0
Active Installs
7
Versions
Install in OpenClaw
/install polymarket-ai-tech-trader
Description
Trades Polymarket prediction markets on AI model releases, tech IPOs, product launches, GPU infrastructure milestones, and AI regulation events. Use when you...
Usage Guidance
This skill appears internally consistent and only needs SIMMER_API_KEY and the simmer-sdk package. Before installing: (1) Treat SIMMER_API_KEY as a sensitive trading credential — use a paper/sim-only key for testing and avoid putting a live-capable key in automated environments until you review behavior. (2) Review the simmer-sdk package source or provenance to confirm the client methods (trade, get_markets, apply_skill_config) behave as expected. (3) Note that SKILL.md mentions using external benchmark/news feeds but the shipped trader.py does not implement these integrations — if you expect those signals, inspect or extend the code. (4) Keep autostart/cron disabled until you validate trading logic in sim mode and verify tunable settings. If you want extra assurance, run the script locally in paper mode and observe trades before enabling --live.
Capability Analysis
Type: OpenClaw Skill
Name: polymarket-ai-tech-trader
Version: 0.0.3
The skill is a legitimate trading bot for Polymarket focused on AI and technology sectors. It implements a clear strategy based on model benchmarks and news signals, featuring robust safety mechanisms such as a paper-trading default (venue='sim') and configurable risk parameters (tunables). The code in trader.py is well-structured, lacks any signs of data exfiltration or malicious execution, and the SKILL.md documentation contains no prompt-injection attempts.
Capability Tags
Capability Assessment
Purpose & Capability
The skill claims in SKILL.md to monitor external benchmark feeds (LMSYS Chatbot Arena, Hugging Face, SEC EDGAR, GitHub, etc.) as its default signal, but the included trader.py does not call any of those external APIs — it only uses the SimmerClient to discover markets and place trades. Declared requirements (SIMMER_API_KEY, pip simmer-sdk) are appropriate for a Simmer/Polymarket trading agent.
Instruction Scope
Runtime instructions (SKILL.md) and the code are scoped to market discovery, filtering, and trading via the Simmer SDK. There are no instructions to read unrelated local files, other credentials, or to exfiltrate data. The README warns the user about live mode and defaults to paper trading.
Install Mechanism
There is no arbitrary download/install script; clawhub.json declares a pip dependency on 'simmer-sdk' which is proportionate for an SDK-backed trading skill. No extracted archives or external URLs are used.
Credentials
Only SIMMER_API_KEY (and SIMMER_* tunables) are requested and used. Those are consistent with the skill's trading purpose. The code reads SIMMER_* env vars for tunables and will raise if SIMMER_API_KEY is absent, which is consistent with clawhub.json.
Persistence & Privilege
The skill is not marked always:true, autostart is false, and the automaton entrypoint is the included trader.py. Autonomous invocation is allowed by default (normal for skills) but autostart/cron are disabled by default, reducing surprise execution.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install polymarket-ai-tech-trader - After installation, invoke the skill by name or use
/polymarket-ai-tech-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 for real USDC trades
v1.0.4
Rescan
v1.0.3
Wider thresholds, lower filters, add get_fast_markets + bulk scan, backward-compatible
v1.0.2
Fix apply_skill_config AttributeError for new Simmer SDK compatibility
v1.0.1
Version 1.0.1
- Updated risk parameter environment variable names for consistency (`SIMMER_AITECH_*` renamed to `SIMMER_*`).
- Added `SIMMER_MIN_TRADE`, `SIMMER_YES_THRESHOLD`, and `SIMMER_NO_THRESHOLD` tunables for finer-grained trade sizing and entry signals.
- Detailed the conviction-based position sizing system, showing how trade sizes scale linearly with market edge.
- Clarified examples and documentation around tunables and trade logic; no changes to code or execution.
v1.0.0
polymarket-ai-tech-trader 1.0.0 — Initial Release
- Launches a new trading skill targeting Polymarket prediction markets for AI model releases, tech IPOs, product launches, infrastructure, and regulation.
- Includes default strategy: market discovery, benchmark monitoring (LMSYS, Hugging Face), and news/reactive catalyst trades.
- Features modular signal logic: supports remix with APIs for model benchmarks, GitHub, news, SEC filings, and more.
- Full risk parameterization: position size, market volume, spread, days to resolution, open positions — all safely tunable via environment or UI.
- Runs on a 5-minute cron loop (manual activation only), defaults to safe paper trading mode unless explicitly triggered with --live flag.
- Requires simmer-sdk; integration and control via SIMMER_API_KEY and Simmer Markets ecosystem.
Metadata
Frequently Asked Questions
What is Polymarket Ai Tech Trader?
Trades Polymarket prediction markets on AI model releases, tech IPOs, product launches, GPU infrastructure milestones, and AI regulation events. Use when you... It is an AI Agent Skill for Claude Code / OpenClaw, with 392 downloads so far.
How do I install Polymarket Ai Tech Trader?
Run "/install polymarket-ai-tech-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Polymarket Ai Tech Trader free?
Yes, Polymarket Ai Tech Trader is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Polymarket Ai Tech Trader support?
Polymarket Ai Tech Trader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Polymarket Ai Tech Trader?
It is built and maintained by diagnostikon (@diagnostikon); the current version is v0.0.3.
More Skills