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diagnostikon

Polymarket Twitter Sentiment Spike Trader

by diagnostikon · GitHub ↗ · v0.0.3 · MIT-0
cross-platform ✓ Security Clean
195
Downloads
0
Stars
0
Active Installs
5
Versions
Install in OpenClaw
/install polymarket-twitter-sentiment-spike-trader
Description
Detects crisis and news spikes across other Polymarket markets and adjusts expected posting rates upward for post-count bins. Requires SIMMER_API_KEY and sim...
Usage Guidance
This skill appears to do what it says: it needs your SIMMER_API_KEY to read markets and optionally place trades. Before installing: 1) Fix or confirm the registry metadata discrepancy (the skill does require SIMMER_API_KEY even if the registry summary showed none). 2) Review the simmer-sdk source on PyPI/GitHub to ensure the client behaves as you expect. 3) Use a restricted/test API key or ensure the key has no live-trade permission while you validate behavior; do not place a full-permission live key in shared/automated environments. 4) Keep --live usage manual and limited; default operation is paper/sim. 5) If you want additional assurance, run the included trader.py in a controlled environment and inspect network calls (or run with a mocked SimmerClient) before supplying credentials.
Capability Analysis
Type: OpenClaw Skill Name: polymarket-twitter-sentiment-spike-trader Version: 0.0.3 The skill implements a sentiment-based trading strategy for Polymarket using the `simmer-sdk`. It includes safety features like paper trading by default and configurable risk parameters. No evidence of data exfiltration, malicious execution, or harmful instructions was found in trader.py or SKILL.md.
Capability Tags
cryptorequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The skill claims to detect crisis spikes and trade Polymarket posting-count bins; the included code uses simmer_sdk and requires SIMMER_API_KEY which is exactly what's needed to read markets and place trades. NOTE: the registry summary at the top of the scan output showed "Required env vars: none" and "Primary credential: none", but both SKILL.md and clawhub.json declare SIMMER_API_KEY as required — this metadata mismatch should be corrected before install.
Instruction Scope
SKILL.md and trader.py limit actions to discovering markets, computing signals, and placing trades via the SimmerClient. The skill explicitly reads your Simmer portfolio (necessary for its purpose). It does not instruct the agent to read arbitrary system files or other unrelated environment variables, nor does it include instructions to post data to third-party endpoints outside the Simmer/Polymarket ecosystem.
Install Mechanism
There is no install spec that downloads arbitrary code; the skill depends on the simmer-sdk PyPI package and includes a local trader.py. No external URL downloads or archive extraction are used in the skill bundle.
Credentials
The skill requires SIMMER_API_KEY and numerous SIMMER_* tunables (declared in clawhub.json). These are proportionate to a trading bot. Important caution: the API key grants trading authority — although the skill defaults to paper trading, a key that allows live execution combined with manually passing --live would permit real trades. The SKILL.md warns about not placing a live-capable key in environments where automated code could call --live.
Persistence & Privilege
always:false and autostart:false are set; automaton entrypoint exists but cron is null. The skill can be invoked autonomously by the agent (normal platform behavior), but it does not force installation-wide presence or modify other skills' configs. apply_skill_config is used defensively and is expected in Simmer runtime.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install polymarket-twitter-sentiment-spike-trader
  3. After installation, invoke the skill by name or use /polymarket-twitter-sentiment-spike-trader
  4. 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
v1.0.2
Fix apply_skill_config AttributeError for new Simmer SDK compatibility
v1.0.1
- Version bump: 1.0.1 released with no user-facing or code changes. - No updates to documentation, configuration, or functionality detected. - Skill behavior, risk parameters, and requirements remain unchanged from 1.0.0.
v1.0.0
Initial release of Twitter Sentiment Spike Trader. - Detects crisis/news spikes in Polymarket markets to anticipate increased posting rates by public figures. - Dynamic adjustments for post-count market signals based on global event detection. - Includes person-specific crisis multipliers for Trump, Elon, CZ, and Vitalik. - Risk controls, tunable parameters, and execution safeguards by default; live trading only enabled with explicit flag. - Requires SIMMER_API_KEY and simmer-sdk dependency.
Metadata
Slug polymarket-twitter-sentiment-spike-trader
Version 0.0.3
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 5
Frequently Asked Questions

What is Polymarket Twitter Sentiment Spike Trader?

Detects crisis and news spikes across other Polymarket markets and adjusts expected posting rates upward for post-count bins. Requires SIMMER_API_KEY and sim... It is an AI Agent Skill for Claude Code / OpenClaw, with 195 downloads so far.

How do I install Polymarket Twitter Sentiment Spike Trader?

Run "/install polymarket-twitter-sentiment-spike-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Polymarket Twitter Sentiment Spike Trader free?

Yes, Polymarket Twitter Sentiment Spike Trader is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Polymarket Twitter Sentiment Spike Trader support?

Polymarket Twitter Sentiment Spike Trader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Polymarket Twitter Sentiment Spike Trader?

It is built and maintained by diagnostikon (@diagnostikon); the current version is v0.0.3.

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