cve-research

cve-research is a skill for Claude Code, Codex from fusengine/agents. It costs 23 tokens per session (607 once invoked), scanned A, original, MIT.

A focused research tool for checking one software dependency or package version against known CVEs, which are publicly recorded security vulnerabilities. It compares results from vulnerability databases and advisories.

In plain words
What is it for?
Use it to investigate a named package, compare advisory findings, assess severity and exploitability, and identify recommended fix versions.
Why use it?
It helps determine whether a specific dependency version is unsafe and what upgrade or workaround may address the issue.

Skill for Claude CodeCodex

Part of the fuse-security plugin — 5 skills, 1 command, 1 agent shipped together

Install

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.

agentmods
npx agentmods add skills/fusengine/agents/cve-research
Any agent
npx skills add fusengine/agents --skill cve-research
Clone the repo
git clone --depth 1 https://github.com/fusengine/agents

Made for: Claude Code, Codex.

Or install fuse-security, the plugin that ships this one along with the rest of its 5 skills, 1 command, 1 agent.

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.

agentmods badge for cve-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/fusengine/agents/cve-research.svg)](https://agentmods.dev/skills/fusengine/agents/cve-research)
Your own site
<a href="https://agentmods.dev/skills/fusengine/agents/cve-research"><img src="https://agentmods.dev/badge/skills/fusengine/agents/cve-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 607 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00023 $0.00607
Opus 5 $0.00012 $0.00303
Sonnet 5 $0.00005 $0.00121
Haiku 4.5 $0.00002 $0.00061

Measured yesterday against content hash c8c72892432e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cve-research 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 yesterday.

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.

plugins/security-expert/skills/cve-research/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

It queries OSV.dev first for speed and accuracy, cross-checks NVD for CVSS scoring, uses Exa for recent advisories, and checks GitHub Advisory for maintainer responses, then cross-references findings and prioritizes by CVSS score and exploitability — CRITICAL (9.0-10.0) fixed immediately, HIGH (7.0-8.9) before merge, MEDIUM (4.0-6.9) planned, LOW (0.1-3.9) documented — reporting fix versions and workarounds.

Out of scope: this is a single-dependency lookup, not a full project dependency sweep (use dependency-audit for that).

CVE Research Skill

Overview

Research known vulnerabilities for project dependencies using multiple sources.

Data Sources

Source API Coverage
NVD nvd.nist.gov/vuln/api All CVEs
OSV.dev api.osv.dev npm, PyPI, Go, crates, Maven
GitHub Advisory github.com/advisories npm, pip, composer, cargo
Exa Search Via MCP Real-time web search

Workflow

  1. Extract dependencies from project (package.json, etc.)
  2. Query each source for known CVEs
  3. Cross-reference findings across sources
  4. Prioritize by CVSS score and exploitability
  5. Report with fix versions and workarounds

Query Strategy

For each dependency:

  1. Search OSV.dev first (fastest, most accurate for packages)
  2. Cross-check NVD for CVSS scoring
  3. Use Exa for recent advisories not yet in databases
  4. Check GitHub Advisory for maintainer responses

Severity Mapping

CVSS Score Severity Action
9.0 - 10.0 CRITICAL Fix immediately
7.0 - 8.9 HIGH Fix before merge
4.0 - 6.9 MEDIUM Plan fix
0.1 - 3.9 LOW Document

References

Read the full file on GitHub · 67 lines

Files

What ships with it

2 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.

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.

  1. yesterday First seen · 67 lines · 23 tokens per session scan A c8c72892432e

Subscribe to this mod's changes

cve-research is a skill published in the GitHub repository fusengine/agents (25 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 607 once invoked, about $0.0001 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 2026-09-03.

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