Open SWE is an open-source software factory that gives coding tasks to an asynchronous agent, which investigates repositories, changes code, validates the results, and delivers pull requests. Engineering teams use it to automate code changes, reviews, CI follow-up, and related repository work from dashboards and connected tools.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/langchain-ai/open-sweWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/langchain-ai/open-swe/claude-code-plugin)<a href="https://agentmods.dev/plugins/langchain-ai/open-swe/claude-code-plugin"><img src="https://agentmods.dev/badge/plugins/langchain-ai/open-swe/claude-code-plugin/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/langchain-ai/open-swe/claude-code-plugin"><img src="https://agentmods.dev/badge/plugins/langchain-ai/open-swe/claude-code-plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
open-swe scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "open-swe",
"displayName": "Open SWE",
"version": "0.1.0",
"description": "Mirror Claude Code sessions into Open SWE threads, use Open SWE's MCP tools, and find a session's thread",
"author": {
"name": "LangChain"
},
"repository": "https://github.com/langchain-ai/open-swe",
"license": "MIT",
"userConfig": {
"server_url": {
"type": "string",
"title": "Open SWE URL",
"description": "Origin of your Open SWE deployment",
"default": "https://openswe.langchain.dev"
}
}
}
What it installs
The manifest is a name and a version. 2 skills, 1 MCP server travel with it, and installing the plugin installs all of them — 47 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 20 lines scan A 46224de199af
open-swe is a plugin published in the GitHub repository langchain-ai/open-swe (11,163 stars, last pushed today), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-11-02.
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