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 arcjet/arcjet-js --skill integrate-arcjet-guard-langchaingit clone --depth 1 https://github.com/arcjet/arcjet-jsWrote 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/arcjet/arcjet-js/integrate-arcjet-guard-langchain)<a href="https://agentmods.dev/skills/arcjet/arcjet-js/integrate-arcjet-guard-langchain"><img src="https://agentmods.dev/badge/skills/arcjet/arcjet-js/integrate-arcjet-guard-langchain/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/arcjet/arcjet-js/integrate-arcjet-guard-langchain"><img src="https://agentmods.dev/badge/skills/arcjet/arcjet-js/integrate-arcjet-guard-langchain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00101 | $0.03516 |
| Opus 5 | $0.00051 | $0.01758 |
| Sonnet 5 | $0.00020 | $0.00703 |
| Haiku 4.5 | $0.00010 | $0.00352 |
Grade A, and why
integrate-arcjet-guard-langchain 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 2d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Integrate Arcjet Guard into a LangChain JS createAgent
@arcjet/guard's LangChain v1 namespace wraps the agent's existing Arcjet
client. It never talks to the Arcjet API itself. Three surfaces, one
decision rule:
- An authored tool (
tool()/StructuredTool) →guardTool(). DENY returns a plainArcjetDenialResult. Do not throw. Do not fabricate aToolMessage.createAgent'sbaseHandlerwraps a non-ToolMessage in a successToolMessage. - MCP / unwrapped / runtime-discovered tools →
guardMiddleware(). AcreateAgent({ middleware })middleware whosewrapToolCallis the invoke()-wide gate. It denies by returning a realToolMessage(content= JSON of the payload,tool_call_id=request.toolCall.id,name=request.toolCall.name) without callinghandler. Already-branded tools are skipped whenrequest.toolcan be looked up. Do not setstatus: "error". Do not throw (throws bubble and droparcjetDenied). - Correlation →
langchainContext()readsconfigurable.thread_id(what wrapToolCall sees onruntime.configurableas of langchain 1.2.34), then caller-ownedsessionId/conversationId. It never mints a new id. It never readstraceId. A run that pauses oninterrupt()resumes through the same config, so it keeps itsthread_idand its later decisions stay on the Sequence that started it — the interrupt and its resume value are simply not correlation sources of their own.
This namespace is LangChain JS createAgent + wrapToolCall. Not
LangGraph Graph API (StateGraph + ToolNode) — that is
@arcjet/guard/langgraph/v1. Not vercel-ai/v7. Server-side provider
tools and headless .implement() tools are out of scope. Do not also
wrap the same tool with @arcjet/guard/langgraph/v1 or
@arcjet/guard/vercel-ai/v7.
Docs live at
docs.arcjet.com/guards/langchain-js/.
Do not use /guards/langchain/ — that is the live Python page.
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.
- 2d ago Changed · +5 lines 4fa381500218
- 7d ago Changed · +7 lines 34caeb1a9640
- 12d ago First seen · 307 lines · 101 tokens per session scan A ac817744169c
integrate-arcjet-guard-langchain is a skill published in the GitHub repository arcjet/arcjet-js (682 stars, last pushed yesterday), licensed Apache-2.0. It adds 101 tokens to every session and 3,516 once invoked, about $0.0005 per session on Opus 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 2026-08-30.
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