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Cve Source Check

Community
notque
cve-source-check

Audit CVE/vulnerability source coverage for a technology stack. Maps each component (container, library, base image, runtime) to authoritative CVE feeds, flags gaps, and produces audit-ready reports. Generic: works for any service or stack.

Overview

Publishernotque
Repositoryvexjoy-agent
Skill namecve-source-check
Stars
443
Forks
50
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by notque on GitHub. Read the source before you install it.

Installation

Install the Cve Source Check AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/notque/vexjoy-agent/tree/main/skills/infrastructure/cve-source-check
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/notque/vexjoy-agent.git /tmp/vexjoy-agent
mkdir -p .claude/skills
cp -r /tmp/vexjoy-agent/skills/infrastructure/cve-source-check .claude/skills/cve-source-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cve Source Check in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cve Source Check on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cve Source Check is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CVE Source Check

Audit CVE/vulnerability source coverage for a technology stack. Maps components to authoritative CVE feeds via a versioned registry, flags gaps, and produces audit-ready reports (JSON + Markdown).

In scope: component-to-feed mapping, coverage/gap reporting, optional URL reachability checks. Out of scope: running scanners (Trivy/Snyk), fetching CVE content, private vuln databases.

Quick Start

bash
# Inline, offline
python3 scripts/check-cve-sources.py \
  --inline "go@1.22,alpine@3.19,postgres@16,redis@7,nginx@1.25" \
  --service my-service

# Inventory + monitored feeds + link verification
python3 scripts/check-cve-sources.py \
  --inventory examples/inventory.example.json \
  --current-sources examples/current-sources.example.txt \
  --service my-service --check-urls

Inputs

FlagPurpose
--inventory <file>JSON: [{name, version?, type?}, ...] or {components: [...]}.
--inline "name@ver,..."Comma-separated list. Mutually exclusive with --inventory.
--current-sources <file>One URL per line. # comments and blank lines skipped.
--service <name>Name for report header and filenames.
--check-urlsHEAD-check every source URL (5s timeout, graceful degradation).
--registry <path>Override default tech-source-registry.json.
--out-dir <path>Output directory (default: cwd).

JSON only. YAML not supported (no stdlib parser).

Outputs

Files: cve-source-report-{service}-{YYYYMMDD}.{md,json} in --out-dir.

ExitMeaning
0Full coverage.
1Gaps (unmapped components or unmonitored sources).
2Unreachable source URL (only with --check-urls).
3Input error (missing/malformed registry or inventory).

Workflow

Phase 1: LOAD

  1. Locate tech-source-registry.json (next to SKILL.md by default, or --registry).
  2. Build inventory from --inventory (JSON list or {components: [...]}) or --inline (comma-split name@version).
  3. If --current-sources provided, read URLs and normalize for case-insensitive comparison.

Gate: at least one component present. Empty inventory -> exit 3.

Phase 2: MAP & VERIFY

  1. Look up each component name (and aliases) in the registry.
    • Found -> mapped, attach source list. Missing -> unmapped, sources [].
  2. If current sources loaded, mark each source monitored: true when its normalized URL appears.
  3. If --check-urls: HEAD-check each unique URL. Treat 200/301/302/403/405 as reachable. 4xx (except 403/405) and 5xx -> reachable: false. Timeout/DNS/TLS failure -> reachable: null (WARN, does not affect exit code). 5s timeout per URL, cached per run.

Gate: every component has status; every source has monitored and reachable fields.

Phase 3: REPORT

  1. Compute summary: components, mapped/unmapped, monitored, coverage %, gaps, unreachable.
  2. Write JSON report with per-component status and per-source monitored/reachable fields.
  3. Write Markdown report: summary table, components table (markers), gaps section (when gaps exist), unmapped section (when unmapped exist).
  4. Print one-screen summary to stdout. Set exit code per table above.

Gate: both files written, summary printed.

Registry Schema

tech-source-registry.json shape:

json
{
  "$schema_version": "1.0",
  "kinds": ["advisory-list", "github-security", "mailing-list", "distro-tracker", "vendor-page", "mitre"],
  "priorities": ["primary", "secondary"],
  "technologies": [
    {"name": "postgres", "aliases": ["postgresql","pg"], "type": "container",
     "sources": [{"url": "https://...", "kind": "advisory-list", "priority": "primary"}]}
  ]
}

Each technology: name (lowercase, unique), aliases (list), type (runtime/base-image/container/library), sources (1-3, at least one primary).

To add a technology: pick canonical name, list aliases, add 1-3 sources (lead with vendor advisory page), re-run against a sample inventory.

Error Handling

ErrorCauseFix
Failed to load registryMissing or malformed JSONValidate with python3 -m json.tool
Failed to load inventoryMissing, malformed, or wrong shapeValidate JSON; must be list or {components: [...]}
Inventory emptyNo usable componentsEach entry needs name. Inline needs non-empty tokens.
Coverage stuck at 0%--current-sources URLs don't match registryCopy URLs from registry. Scheme/host case and trailing slash are normalized; rest must match.
Many [--] entries with --check-urlsNetwork issuesRe-run without --check-urls. Network errors don't affect gap exit code.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cve Source Check AI skill do?

Audit CVE/vulnerability source coverage for a technology stack. Maps each component (container, library, base image, runtime) to authoritative CVE feeds, flags gaps, and produces audit-ready reports. Generic: works for any service or stack.

Why use Cve Source Check on TypingMind?

Because you install it once and use it with any model. Cve Source Check is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cve Source Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/notque/vexjoy-agent/tree/main/skills/infrastructure/cve-source-check. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cve Source Check?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cve Source Check?

As many as you like. As long as a model supports skills, you can use Cve Source Check with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cve Source Check AI skill free?

Yes. It is published on GitHub by notque under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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