by lightninglabs · Agent Tool · ★ 144
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git clone https://github.com/lightninglabs/LangChainBitcoin.git
Taken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 144 |
| Forks | 19 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 64/100 |
| Open Issues | 4 |
| Last Updated | 2024-07-03 |
| Created | 2023-05-18 |
| Platforms | python |
| Est. Tokens | ~3420k |
LangChainBitcoin is a suite of tools that enables agents to directly interact with Bitcoin and also the Lightning Network. This package has two main features: LLM Agent BitcoinTools: Using the newly available Open AP GPT-3/4 function calls and the built in set of abstractions for tools in , users can create agents that are capaable of holding Bitcoin balance (on-chain and on LN),...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: