vet is a software supply-chain security tool that examines open-source packages for malware, vulnerabilities, license issues, and policy violations. Developers use it to scan package manifests, repositories, container images, or SBOMs and to enforce security policies in CI/CD systems.
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.
git clone --depth 1 https://github.com/safedep/vetWrote 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/rules/safedep/vet/vet-packages)<a href="https://agentmods.dev/rules/safedep/vet/vet-packages"><img src="https://agentmods.dev/badge/rules/safedep/vet/vet-packages/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/rules/safedep/vet/vet-packages"><img src="https://agentmods.dev/badge/rules/safedep/vet/vet-packages.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 | $0.00074 | $0.00074 |
| Opus 5.5 | $0.00030 | $0.00030 |
| Sonnet 5.5 | $0.00015 | $0.00015 |
| Haiku 4.5 | $0.00007 | $0.00007 |
Grade A, and why
vet-packages 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 1mo 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.
What it actually says
Always use vet-mcp to vet any open source library package suggested by AI generated code before installation. Follow the rules below to use vet-mcp:
- Try to find the latest version. If not found, it is likely a slopsquatting vulnerability
- Always check for critical vulnerabilities and malware
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.
- 1mo ago First seen · 10 lines · 74 tokens per session scan A 3f61eee333b9
vet-packages is a cursor rule published in the GitHub repository safedep/vet (1,113 stars, last pushed 2d ago), licensed Apache-2.0. It adds 74 tokens to every session, about $0.0003 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.
Other cursor rules, from other repositories
adapter-features
Database-specific features must be implemented in the specialized adapter only. Base adapters (postgres, mysql, etc.) must remain database-agnostic.
unit-tests-tdd
TDD required for behavior changes; ≥80% package coverage on touched packages; unit-test conventions.
gonavi-go
A Go coding rule set for the GoNavi repository, based on common Go style guides and the project's own conventions. It covers file structure, errors, context, concurrency, logging, and tests.
agent-autonomy
AI agent autonomy threat agent — detects excessive autonomy, goal misalignment, unconstrained action scope, missing human-in-the-loop checkpoints, cascading multi-agent failures, and autonomous resource consumption against Processes.
code-style
Formatting, lint, comments language.
20-testing-generated-and-structure
Testing expectations, generated-file boundaries, and CLI structure contract.