What is vulnerability-db AGENTS.md?

Project instructions for AppThreat Vulnerability Database, an offline database of known software vulnerabilities used by scanners.

Use them when modifying vulnerability sources, package and version matching, offline SQLite lookups, database builds, or resource limits.

They explain the project's priorities and structure so agents do not mistake intentional design choices for bugs or make unsafe changes to security data.

How AppThreat/vulnerability-db configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to AppThreat/vulnerability-db. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/AppThreat/vulnerability-db/master/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/AppThreat/vulnerability-db

Made for: Codex, OpenCode.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/appthreat/vulnerability-db/agents-md/github.svg)](https://agentmods.dev/instructions/appthreat/vulnerability-db/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/appthreat/vulnerability-db/agents-md"><img src="https://agentmods.dev/badge/instructions/appthreat/vulnerability-db/agents-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/appthreat/vulnerability-db/agents-md"><img src="https://agentmods.dev/badge/instructions/appthreat/vulnerability-db/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,842 This file is loaded in full into every session.

When invoked 2,842 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.02842	$0.02842
Opus 5.5	$0.01137	$0.01137
Sonnet 5.5	$0.00568	$0.00568
Haiku 4.5	$0.00284	$0.00284

Measured 13d ago against content hash b659351f356e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vulnerability-db AGENTS.md 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 13d 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.

AGENTS.md · 263 lines

How it starts

The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI coding agents and automated contributors working on appthreat-vulnerability-db.

If you are using VDB rather than changing it, read SKILL.md instead. This file is about working on the code.

What this project is

vdb builds and queries an offline SQLite vulnerability database from AppThreat vuln-list, OSV, NVD, GitHub and npm. It is used as a CLI and as a Python library by downstream scanners.

Four goals, in the order they win arguments:

Accurate package locator and version matching. A wrong answer here becomes a wrong security decision downstream, so accuracy beats size and speed.

Fast offline lookup from pre-built .vdb7 files, with no network access during a scan.

Reproducible builds. App-only and app+OS databases, plus per-type shards, from a fresh build every time. There is no migration path and none is wanted.

Bounded resource use on large feeds. Memory and disk are first-class constraints, not afterthoughts.

Repository map

vdb/cli.py              CLI entry point, cache/download/search orchestration
vdb/lib/config.py       environment-driven source, path and database config
vdb/lib/db.py           SQLite connections, schema, pragmas, finalization
vdb/lib/shard_store.py  shard store discovery, fan-out, coverage, staleness
vdb/lib/shard_split.py  the splitter: full database to per-type shards
vdb/lib/db_cmd.py       the `vdb db` subcommand
vdb/lib/cve.py          CVE 5.2 conversion and storage
vdb/lib/osv.py          OSV feed ingestion and conversion
vdb/lib/aqua.py         AppThreat/Aqua vuln-list ingestion, incl. OS distros
vdb/lib/gha.py          GitHub advisory ingestion
vdb/lib/nvd.py          NVD ingestion and the shared CVE-5 conversion
vdb/lib/cpe.py          CPE parsing, normalisation, separator variants
vdb/lib/vers.py         the single version comparison implementation
vdb/lib/search.py       query APIs and result materialization
vdb/lib/search_index.py metadata indexes for text/alias/reference/symbol
test/                   pytest suite and small fixture data
contrib/                measurement harnesses and their findings documents
docs/                   reference docs: DATABASE.md (schema + queries), DESIGN.md (shard client architecture), BENCHMARKS.md
packages/mcp-server-vdb/ MCP server, depends on the library API

Read the full file on GitHub · 263 lines

Changes

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.

13d ago Changed · +4 lines · +79 tokens per session b659351f356e
1mo ago Changed · +2 lines · +39 tokens per session 7abf9d3704e7
1mo ago Changed · +5 lines · +78 tokens per session 1b79033367e3
2mo ago First seen · 252 lines · 2,646 tokens per session scan A ff56c2cbb438

Subscribe to this mod's changes

vulnerability-db AGENTS.md is an instructions file published in the GitHub repository AppThreat/vulnerability-db (155 stars, last pushed 3d ago), licensed MIT. It adds 2,842 tokens to every session, about $0.0114 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.

CVE SCA cli nvd vulnerability detection vulnerability-database

vulnerability-db AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
vulnerability-db AGENTS.mdAppThreat/vulnerability-db	Instructions file	155	3d ago	MIT	A	2,842	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

vulnerability-db: Instructions file for Codex