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Searching Exploit Db

Community
ptn1411
searching-exploit-db

Use when looking up CVE identifiers, EDB-IDs, public exploit references, or product/version matches in Exploit-DB for vulnerability research or authorized security assessment.

Overview

Publisherptn1411
Repositoryskill
Skill namesearching-exploit-db
Stars
275
Forks
133
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by ptn1411 on GitHub. Read the source before you install it.

Installation

Install the Searching Exploit Db 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/ptn1411/skill/tree/main/searching-exploit-db
  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/ptn1411/skill.git /tmp/skill
mkdir -p .claude/skills
cp -r /tmp/skill/searching-exploit-db .claude/skills/searching-exploit-db
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Searching Exploit Db 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 Searching Exploit Db 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 Searching Exploit Db 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.

Searching Exploit-DB

Purpose

Find public Exploit-DB entries reproducibly, then assess whether each entry is relevant to the user's product and environment. An Exploit-DB match proves that a public PoC exists; it does not prove that a target is vulnerable or that the PoC is safe to run.

Workflow

Use the bundled read-only helper on Windows or when searchsploit is unavailable:

powershell
python searching-exploit-db\scripts\search_exploit_db.py --cve CVE-2021-44228
python searching-exploit-db\scripts\search_exploit_db.py --edb-id 50592 --format json
python searching-exploit-db\scripts\search_exploit_db.py --query "Apache Log4j remote"

The helper reads the official files_exploits.csv from the Exploit-DB GitLab repository. Pass --csv <path> to use a local clone or saved CSV. On systems with SearchSploit, searchsploit --cve 2021-44228 -j is also appropriate.

For screenshots, tags, setup files, and vulnerability mappings absent from the CSV, inspect the corresponding https://www.exploit-db.com/exploits/<EDB-ID> page.

Assess Applicability

For every candidate:

  1. Confirm the CVE and affected versions with the current vendor advisory, CVE record, or NVD; recommend the vendor's current supported remediation, not merely the first historical fixed release.
  2. Compare product, exact version, architecture, attack type, prerequisites, authentication, and network position. Distinguish the vulnerable target OS, the PoC's supported target platform, and the host used to run the PoC.
  3. Report Exploit-DB's verified value without treating it as a guarantee.
  4. State missing facts and distinguish direct match, possibly relevant, and not applicable.

Do not download, compile, or execute a PoC as part of lookup. If the user asks to test one, confirm the target is owned or explicitly authorized and use the appropriate assessment skill.

Outputs

Return:

FieldContent
QueryNormalized CVE, EDB-ID, or terms
MatchesEDB-ID, title, platform/type, date, verified status, URL
ApplicabilityDirect, possible, or not applicable with reasons
ValidationLinked Exploit-DB page plus vendor/CVE advisory and affected-version evidence
CaveatsPreconditions, missing evidence, and safe next step

Include the CSV source and retrieval time so a changing main branch result can be traced.

If there is no match, say that Exploit-DB has no indexed result; do not claim that no public exploit exists elsewhere.

Anti-Patterns

  • Matching a CVE by substring instead of the exact codes token.
  • Treating an EDB entry as authoritative affected-version data.
  • Selecting a PoC by title while ignoring platform or prerequisites.
  • Equating Not verified with false, or Verified with universally reliable.

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 Searching Exploit Db AI skill do?

Use when looking up CVE identifiers, EDB-IDs, public exploit references, or product/version matches in Exploit-DB for vulnerability research or authorized security assessment.

Why use Searching Exploit Db on TypingMind?

Because you install it once and use it with any model. Searching Exploit Db 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 Searching Exploit Db in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ptn1411/skill/tree/main/searching-exploit-db. 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 Searching Exploit Db?

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 Searching Exploit Db?

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

Is the Searching Exploit Db AI skill free?

It is published on GitHub by ptn1411. Check the repository for licensing terms. 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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