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-genkitgit 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-genkit)<a href="https://agentmods.dev/skills/arcjet/arcjet-js/integrate-arcjet-guard-genkit"><img src="https://agentmods.dev/badge/skills/arcjet/arcjet-js/integrate-arcjet-guard-genkit/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-genkit"><img src="https://agentmods.dev/badge/skills/arcjet/arcjet-js/integrate-arcjet-guard-genkit.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 | $0.00089 | $0.03460 |
| Opus 5.5 | $0.00036 | $0.01384 |
| Sonnet 5.5 | $0.00018 | $0.00692 |
| Haiku 4.5 | $0.00009 | $0.00346 |
Grade A, and why
integrate-arcjet-guard-genkit 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 12d 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 — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Integrate Arcjet Guard into a Genkit app
@arcjet/guard's Genkit 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 (
ai.defineTool(config, handler)) →guardTool(). AfterdefineToolthe object is aToolAction;generate()calls it as a function. DENY returns a structuredArcjetDenialResult. Do not throw. Do not callinterrupt(). Do not throwToolInterruptError. - Filesystem / MCP / unwrapped tools →
guardMiddleware(). Agenerate({ use })middleware whosetoolhook is the generate()-wide gate. It denies by returning a completedToolResponsePartwithout callingnext(). Already-branded tools are skipped when they can be looked up. Requires thegenerateMiddlewaretoolhook (Genkit >= 1.33). - Correlation →
genkitContext()reads a field the integrator put ongenerate({ context })/ the tool handler's{ context }(correlationId, thensessionId, thenconversationId, then a caller-owned flow / run id). It never mints a new id. It never readstraceId. It never treatsinterrupt/resumedas correlation.
This namespace is JS genkit() + ai.defineTool + ai.generate.
Not Go / Python Genkit. Do not also wrap the same tool with
@arcjet/guard/vercel-ai/v7 or @arcjet/guard/claude-managed-agents/v0.
Zod is Genkit's, not ours.
Screen user text before generate() — there is no inbound hook. Middleware model is not Guard.
There is no first-class inbound channel, so there is no guardInbound.
Put prompt-injection (and other inbound rules) in the application before
ai.generate() / chat.send(). The middleware model hook intercepts
the model call, not user text. It is not this policy gate.
interrupt() / defineInterrupt / toolApproval are HITL, not a policy gate.
interrupt() / defineInterrupt / @genkit-ai/middleware
toolApproval / restartTool / finishReason === "interrupted" is
human-in-the-loop. Same trap as Mastra requireApproval, Claude
canUseTool, LangGraph interrupt(), OpenAI Agents
needsApproval, Google ADK requireConfirmation, and Cloudflare Think
needsApproval. There is no
guardApproval. Do not wrap them as Guard.
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.
- 12d ago Changed · +1 lines 212395ce95c9
- 20d ago Changed · +2 lines 698be184c04a
- 21d ago Changed · +4 lines 3d79396b0435
- 25d ago Changed 5122bd1311c6
- 1mo ago Changed · +1 lines 1c92d83ec1f9
- 1mo ago Changed 764c2654ecaf
- 1mo ago Changed · +8 lines f1796b613665
- 1mo ago Changed · +7 lines fa567f6d7c86
- 1mo ago First seen · 300 lines · 89 tokens per session scan A 1f4e037244c3
integrate-arcjet-guard-genkit is a skill published in the GitHub repository arcjet/arcjet-js (694 stars, last pushed 3d ago), licensed Apache-2.0. It adds 89 tokens to every session and 3,460 once invoked, about $0.0004 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 2026-08-30.
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