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 blaxel-ai/agent-skills --skill blaxel-sdkgit clone --depth 1 https://github.com/blaxel-ai/agent-skillsWrote 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/blaxel-ai/agent-skills/blaxel-sdk)<a href="https://agentmods.dev/skills/blaxel-ai/agent-skills/blaxel-sdk"><img src="https://agentmods.dev/badge/skills/blaxel-ai/agent-skills/blaxel-sdk/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/blaxel-ai/agent-skills/blaxel-sdk"><img src="https://agentmods.dev/badge/skills/blaxel-ai/agent-skills/blaxel-sdk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.05777 |
| Opus 5 | $0.00044 | $0.02889 |
| Sonnet 5 | $0.00018 | $0.01155 |
| Haiku 4.5 | $0.00009 | $0.00578 |
Grade B, and why
blaxel-sdk scanned grade B with 2 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 11d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
# curl http://127.0.0.1:8080/process -X POST -d '{"workingDir":"/app","command":"npm run dev","waitForCompletion":false}' -H "Content-Type: application/json" Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
# curl http://127.0.0.1:8080/process -X POST -d '{"workingDir":"/app","command":"npm run dev","waitForCompletion":false}' -H "Content-Type: application/json" How it starts
The opening of the file, as written. The whole thing — 660 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blaxel Skill Reference
What is Blaxel
Blaxel (https://blaxel.ai) is a cloud platform that gives AI agents their own compute environments. Its flagship product is perpetual sandboxes: instant-launching microVMs that resume from standby in under 25ms and scale to zero after a few seconds of inactivity.
You use Blaxel primarily to:
- Spin up a sandbox, install dependencies, run a dev server, and expose a live preview URL
- Build and deploy sandbox templates (custom Docker images) for reusable environments
- Deploy AI agents, MCP servers, and batch jobs as serverless endpoints
SDKs: TypeScript (@blaxel/core) and Python (blaxel)
CLI: bl (install from https://docs.blaxel.ai/cli-reference/introduction)
Docs: https://docs.blaxel.ai
Authentication
The SDK authenticates using these sources in priority order:
- Blaxel CLI, when logged in
- Environment variables in
.envfile (BL_WORKSPACE,BL_API_KEY) - System environment variables
- Blaxel configuration file (
~/.blaxel/config.yaml)
Log in locally (recommended for development):
bl login YOUR-WORKSPACE
Or set environment variables (for remote/CI environments):
export BL_WORKSPACE=your-workspace
export BL_API_KEY=your-api-key
When running on Blaxel itself, authentication is automatic.
Sandbox workflow (primary use case)
This is the most common workflow: create a sandbox, run commands in it, and get a preview URL.
Step 1: Create a sandbox
Use a public image from the Blaxel Hub (https://github.com/blaxel-ai/sandbox/tree/main/hub):
blaxel/base-image:latest— minimal Linuxblaxel/node:latest— Node.jsblaxel/nextjs:latest— Next.jsblaxel/vite:latest— Viteblaxel/expo:latest— Expo (React Native)blaxel/py-app:latest— Python
Or use a custom template image you deployed yourself.
Declare the ports you need at creation time. Ports cannot be added after creation. Ports 80, 443, and 8080 are reserved.
import { SandboxInstance } from "@blaxel/core";
const sandbox = await SandboxInstance.createIfNotExists({
name: "my-sandbox",
image: "blaxel/base-image:latest",
memory: 4096,
ports: [{ target: 3000, protocol: "HTTP" }],
});
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 660 lines · 89 tokens per session scan B 2e8cb90dbc4e
blaxel-sdk is a skill published in the GitHub repository blaxel-ai/agent-skills (3 stars, last pushed 14d ago), licensed MIT. It adds 89 tokens to every session and 5,777 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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