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diagnostikon

Polymarket Twitter Weekend Drift Trader

by diagnostikon · GitHub ↗ · v0.0.3 · MIT-0
cross-platform ✓ Security Clean
175
Downloads
0
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0
Active Installs
4
Versions
Install in OpenClaw
/install polymarket-twitter-weekend-drift-trader
Description
Exploits systematic weekday/weekend posting rate differences in post-count bin markets. Requires SIMMER_API_KEY and simmer-sdk. Use when you want to capture...
Usage Guidance
This appears to be a straightforward trading skill. Before installing: (1) review the simmer-sdk source (linked in SKILL.md) to confirm no unexpected network endpoints or privileged calls; (2) do not put a live-capable SIMMER_API_KEY into the environment until you have audited the dependency and tested in paper mode; (3) confirm the platform metadata (registry) correctly lists SIMMER_API_KEY—the report shows a mismatch that should be resolved; (4) run the bot in paper (sim) mode first and monitor actions/logs; and (5) if you plan to enable automated runs, restrict the API key's permissions (if possible) or create a separate limited-account key.
Capability Analysis
Type: OpenClaw Skill Name: polymarket-twitter-weekend-drift-trader Version: 0.0.3 The skill is a specialized trading bot for Polymarket that implements a strategy based on social media posting patterns (weekday vs. weekend drift). The code in `trader.py` uses the `simmer-sdk` to analyze markets and execute trades, featuring a safety-first approach with a default paper-trading mode and configurable risk parameters (e.g., `SIMMER_MAX_POSITION`). No indicators of data exfiltration, malicious execution, or prompt injection were found; the logic is transparent and aligns with the stated purpose in `SKILL.md`.
Capability Tags
cryptorequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The skill's name/description (weekend-drift trading on Polymarket) matches the code and declared dependencies: trader.py uses SimmerClient and looks up markets, computes signals, and places trades. One minor inconsistency: the top-level registry block in the report lists 'Required env vars: none', whereas clawhub.json and SKILL.md correctly declare SIMMER_API_KEY; this is likely a metadata-sync issue rather than malicious behavior.
Instruction Scope
SKILL.md instructs installing the skill and setting SIMMER_API_KEY; runtime behavior (as seen in trader.py) is limited to finding markets, computing signals, and (optionally) placing trades. The skill defaults to paper mode and only does real trades with an explicit --live flag. The instructions do not ask the agent to read unrelated system files or exfiltrate data.
Install Mechanism
There is no custom download/install script; the package depends on simmer-sdk (published on PyPI and with a GitHub repo). This is a standard dependency mechanism (pip) and not a direct arbitrary-URL fetch or archive extraction.
Credentials
The only sensitive credential required is SIMMER_API_KEY (the exchange/trading API key) and a set of SIMMER_* tunables for risk parameters. Those are appropriate and proportional for a trading bot. The SKILL.md explicitly warns about not placing a live-capable key in environments where automated code could execute. As noted above, there is a metadata mismatch in the top-level report that falsely said 'no required env vars'—verify the platform metadata before providing credentials.
Persistence & Privilege
always:false and autostart:false (no forced inclusion or automatic background start). disable-model-invocation is false (agent can call the skill), which is the platform default and expected for an invocable trading skill. The skill does not request system-wide config changes or other skills' credentials.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install polymarket-twitter-weekend-drift-trader
  3. After installation, invoke the skill by name or use /polymarket-twitter-weekend-drift-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
v1.0.1
Fix apply_skill_config AttributeError for new Simmer SDK compatibility
v1.0.0
**Initial release for Twitter Weekend Drift Trader—exploiting weekday/weekend post rate differences in Polymarket Twitter bin markets:** - Adjusts expected post counts based on actual weekday vs weekend days in market periods. - Default signal uses fixed rate differentials for major public figures; template allows further customization (holidays, hour, timezone). - Built-in safeguards: position/risk limits, live/paper trading mode, cron off by default, env var management. - Requires `SIMMER_API_KEY` and `simmer-sdk`; all main parameters are tunable via the Simmer UI. - Handles market parsing, discovery, trade execution, and risk checks automatically, letting users focus on alpha signal.
Metadata
Slug polymarket-twitter-weekend-drift-trader
Version 0.0.3
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is Polymarket Twitter Weekend Drift Trader?

Exploits systematic weekday/weekend posting rate differences in post-count bin markets. Requires SIMMER_API_KEY and simmer-sdk. Use when you want to capture... It is an AI Agent Skill for Claude Code / OpenClaw, with 175 downloads so far.

How do I install Polymarket Twitter Weekend Drift Trader?

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

Is Polymarket Twitter Weekend Drift Trader free?

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

Which platforms does Polymarket Twitter Weekend Drift Trader support?

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

Who created Polymarket Twitter Weekend Drift Trader?

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

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