llm-trading-agent-security

llm-trading-agent-security is an Agent security & guardrails skill for AI agents, published by affaan-m in the ECC repository on GitHub. Skillspace rates llm-trading-agent-security F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
230,097

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Portable: works in any project. General security checklist for autonomous trading agents.

What the scanner flagged

  • references sensitive credential env
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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