Agent Trading Bot
Repository: openclaw/skills
Author: stevojarvisai-star · Source status: Clear source
AI-powered trading bot framework for OpenClaw.
Score basis:Clear source · High execution risk · OpenClaw · Evidence completeness 67%
Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (2/4)
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
Score-basis diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Search to add skills, or paste 2–4 comma-separated slugs.
How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Pre-install score, evidence completeness, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
autopredict
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
posthog
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | autopredict | posthog |
|---|---|---|
| Pre-install decision | ||
Pre-install score | 72 · Manual review | 85 · Manual review |
| Source & provenance | ||
Provenance | howdymary/autopredict | PostHog/posthog |
Freshness | 2026-03-28 | 2026-04-07 |
| Risk & permission signals | ||
Audit signals | No explicit signals | network access |
| Community | ||
Stars | 71 | 32.4K |
Repository: adc
Author: iannelsondev · Source status: Clear source
Portable AI coding agent configuration — 12 agents, 159 skills, 79 rules, 35 hooks.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 67%