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.
npx skills add langchain-ai/open-swe --skill threadgit 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/skills/langchain-ai/open-swe/thread)<a href="https://agentmods.dev/skills/langchain-ai/open-swe/thread"><img src="https://agentmods.dev/badge/skills/langchain-ai/open-swe/thread/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/skills/langchain-ai/open-swe/thread"><img src="https://agentmods.dev/badge/skills/langchain-ai/open-swe/thread.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.00144 |
| Opus 5.5 | $0.00010 | $0.00058 |
| Sonnet 5.5 | $0.00005 | $0.00029 |
| Haiku 4.5 | $0.00003 | $0.00014 |
Grade A, and why
thread 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
Call list_threads on the Open SWE MCP server with query set to ${CLAUDE_SESSION_ID} and summary_only true.
Print the returned thread's title and webUrl.
When items is empty, say that this session has no Open SWE thread yet: the mirror creates it on the first prompt, and needs this machine connected with /open-swe:connect.
Mention that a mirrored thread is private to its owner and workspace admins.
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 · 10 lines · 25 tokens per session scan A b4eb8397fd53
thread is a skill published in the GitHub repository langchain-ai/open-swe (11,163 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 144 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
herdr-names
Rename Herdr tabs, panes, and agents so each sidebar entry says in a few words what that session is doing. Use whenever the user mentions Herdr and wants tab, pane, or agent names renamed, relabeled, cleaned up, tidied, or made clearer; says a tab or agent name is confusing, meaningless, stale, or just a number; asks…
fetch-llm-apps
Regenerate the ranked GitHub LLM applications pool (section/xllmapps.md) with fetchllmapps.py. USE FOR: refreshing the pool linked from applications.md. DO NOT USE FOR: hand-curating entries in applications.md or adding star badges to the generated file.
add-new-entry-from-temp-md
Format new entries from temp.md into tempentries.md, ready to insert into the section files. USE FOR: adding new resources to the knowledge base. DO NOT USE FOR: editing existing entries or restructuring sections.
activity-record
Query and orchestrate Arkloop Activity Record local activity data. Covers browser history, search terms, screen time, bluetooth, shell commands, window focus, keyboard, mouse, clipboard, screen content (accessibility tree), microphone audio transcription, and Codex sessions.
tg-moderator
Telegram chat moderator/companion mode. No tools, conversational only.
apple-reminders
Apple Reminders via remindctl: add, list, complete.