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 magnus919/agent-skills --skill vercel-evegit clone --depth 1 https://github.com/magnus919/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/magnus919/agent-skills/vercel-eve)<a href="https://agentmods.dev/skills/magnus919/agent-skills/vercel-eve"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/vercel-eve/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/magnus919/agent-skills/vercel-eve"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/vercel-eve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 50 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00099 | $0.01622 |
| Opus 5 | $0.00049 | $0.00811 |
| Sonnet 5 | $0.00020 | $0.00324 |
| Haiku 4.5 | $0.00010 | $0.00162 |
Grade A, and why
vercel-eve 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 6d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vercel Eve
Eve is a filesystem-first framework for durable backend agents. Treat the agent/ directory as the application boundary and the deployment as a composition of independently replaceable HTTP, workflow, sandbox, model, credential, and observability layers.
Operating contract
- Start with the generated project structure. Put agent behavior in
agent/instructions.md, runtime choices inagent/agent.ts, and one typed capability per file under its relevant directory. - Keep authority outside the model prompt. Use typed tools, connections, sandbox boundaries, and route authentication instead of placing credentials or policy in instructions.
- Treat a durable session as a workflow, not an in-memory chat. Define persistence, idempotency, callback reachability, and recovery before relying on long-running or side-effecting work.
- On self-hosted deployments, replace every Vercel service deliberately. A Node process that starts is not evidence that workflow callbacks, persisted state, schedules, sandbox isolation, authentication, and telemetry work.
- Verify with a health request and a real authenticated session that exercises the workflow path. Never treat an HTTP 200 alone as a production readiness signal.
When not to use
Do not load this for the separate ai package’s ToolLoopAgent, WorkflowAgent, or HarnessAgent APIs. Do not use it for generic Next.js deployment without an Eve agent. For vendor-neutral workflow orchestration, use the relevant workflow or agent-framework skill instead.
When such a request appears, say that Eve does not apply and route to current AI SDK documentation or an AI SDK-specific skill. Do not write AI SDK API code, model configuration, or deployment guidance from this skill.
Project model
| Need | Default location |
|---|---|
| Always-on behavior | agent/instructions.md |
| Model and runtime options | agent/agent.ts |
| Typed actions | agent/tools/*.ts |
| On-demand procedures | agent/skills/ |
| Narrower child agents | agent/subagents/ |
| HTTP, Slack, or other entry points | agent/channels/ |
| Typed external integrations | agent/connections/ |
| Isolated compute | agent/sandbox/ |
| OpenTelemetry setup | agent/instrumentation.ts |
| Recurring work | agent/schedules/ |
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.
- 6d ago First seen · 129 lines · 99 tokens per session scan A e7572a523094
vercel-eve is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed today), licensed MIT. It adds 99 tokens to every session and 1,622 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 2026-09-05.
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