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Mi Analista
by
davidpolotm
· GitHub ↗
· v1.0.0
540
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install mi-analista
Description
Trade 10-second crypto prediction markets on PredictMe
Usage Guidance
This skill will register an agent on https://api.predictme.me, obtain a one-time API key, and save that key and agentId to a local file (~/.predictme/credentials.json) so it can poll /odds and place bets automatically. The package metadata did not declare any required credentials or config paths — that mismatch is a red flag. Before installing: (1) verify the PredictMe site and the skill author (unknown source/homepage), (2) be comfortable with the agent storing an API key on your machine and check/limit file permissions or prefer encrypted storage, (3) consider creating a throwaway account (TEST balance only) rather than using any account tied to real funds, (4) enable any 'requireApproval'/manual-approval preference so the agent cannot bet without your explicit go-ahead, and (5) review the skill files (skill.md and sw.js) yourself or have a developer inspect how credentials are stored and used. If you can't verify the publisher or are uncomfortable with automatic credential storage and autonomous betting, do not install.
Capability Analysis
Package: ClawPredict - Grab the Future (xpi)
Version:
Description: 10-second crypto predictions. Grab the future. Predict. Win.
The package consists primarily of static assets (SVG images, HTML, manifest files, robots.txt, sitemap.xml) and documentation files (JSON, Markdown) describing an API for AI agents to interact with a crypto prediction market. The `sw.js` service worker implements standard caching strategies and explicitly avoids intercepting API requests or external network calls. There is no executable code that performs any malicious actions such as data exfiltration, unauthorized access, content injection, or cryptocurrency mining. The package appears to be a legitimate Progressive Web App (PWA) or browser extension for a crypto prediction platform, with a focus on AI agent interaction for simulated trading.
Capability Assessment
Purpose & Capability
SKILL.md describes an AI agent that registers with PredictMe, receives a one-time API key, polls market endpoints, and places bets — behavior coherent with the stated purpose. However the package metadata declares no required credentials or config paths while the instructions explicitly require storing an apiKey/agentId and a nonce in ~/.predictme/credentials.json (and keeping preferences.json). The lack of declared credentials/config paths is an incoherence.
Instruction Scope
Runtime instructions direct the agent to (1) prompt the owner for an email, (2) register the agent, (3) poll for admin approval and retrieve a ONE-TIME apiKey, and (4) save that apiKey and agentId to a local file (~/.predictme/credentials.json). They also instruct ongoing polling of /odds and automated betting logic. These steps access and persist sensitive secrets and perform network operations. The instructions do not request the owner to paste the key but instead instruct the agent to store it automatically — this increases the risk surface and is not reflected in declared requirements.
Install Mechanism
No install spec is provided (instruction-only), so nothing arbitrary is downloaded or installed. A small service worker (sw.js) is included; it performs benign caching of local static assets and does not appear to introduce remote code fetches. Low install risk.
Credentials
No environment variables or primary credential are declared in the registry metadata, yet SKILL.md requires a persistent agent apiKey (pm_agent_*) and saving it to a local file. Requesting persistent agent credentials is proportionate to a trading skill, but the absence of declared credentials/config paths and lack of guidance about secure storage (file permissions, encryption) is a notable mismatch and security oversight.
Persistence & Privilege
The skill does not request always:true and uses standard autonomous invocation (disable-model-invocation is false). It instructs the agent to persist credentials locally so it can operate over time; autonomous invocation combined with stored credentials means the agent could place bets without owner interaction. That autonomous capability is expected for this class of skill but increases risk if the source is untrusted.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mi-analista - After installation, invoke the skill by name or use
/mi-analista - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
predictme skill 1.3.0 changelog
- New skill name: changed from "mi-analista" to "predictme"
- Updated description: now focused on trading 10-second crypto prediction markets
- Complete rewrite of skill documentation, including:
- Step-by-step agent registration and credential management
- Detailed onboarding (observation, paper trading, strategy scaling)
- In-depth explanation of market mechanics, grid betting, and decision rules
- Sample code and JSON for preferences and operational flow
- Added guidance for safe, disciplined trading (risk management, bet sizing, scheduling)
Metadata
Frequently Asked Questions
What is Mi Analista?
Trade 10-second crypto prediction markets on PredictMe. It is an AI Agent Skill for Claude Code / OpenClaw, with 540 downloads so far.
How do I install Mi Analista?
Run "/install mi-analista" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Mi Analista free?
Yes, Mi Analista is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Mi Analista support?
Mi Analista is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Mi Analista?
It is built and maintained by davidpolotm (@davidpolotm); the current version is v1.0.0.
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