dark-web-recon

dark-web-recon is a skill for Claude Code from liortesta/ClawdAgent. It costs 0 tokens per session (837 once invoked), scanned A, original, Apache-2.0.

A capability for monitoring dark-web sites, paste sites, and forums for leaked credentials, stolen data, threat activity, phishing tools, and discussions of new vulnerabilities. The dark web is a part of the internet that is not normally indexed by standard search engines.

In plain words
What is it for?
Use it for authorized threat intelligence, credential and data-leak monitoring, brand protection, vulnerability tracking, and investigating possible insider-threat signals.
Why use it?
It can reveal leaked organizational information or emerging attacks before they are used against the organization.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it for authorized threat intelligence, credential and data-leak monitoring, brand protection, vulnerability tracking, and investigating possible insider-threat signals.

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Install with agentmods
npx agentmods add skills/liortesta/clawdagent/dark-web-recon
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.

Any agent
npx skills add liortesta/ClawdAgent --skill dark-web-recon
Clone the repo
git clone --depth 1 https://github.com/liortesta/ClawdAgent

Made for: Claude Code.

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 dark-web-recon

README.md
[![agentmods](https://agentmods.dev/badge/skills/liortesta/clawdagent/dark-web-recon/github.svg)](https://agentmods.dev/skills/liortesta/clawdagent/dark-web-recon)
Your own site
<a href="https://agentmods.dev/skills/liortesta/clawdagent/dark-web-recon"><img src="https://agentmods.dev/badge/skills/liortesta/clawdagent/dark-web-recon/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.

agentmods 80×15 button for dark-web-recon

Your own site · 80×15
<a href="https://agentmods.dev/skills/liortesta/clawdagent/dark-web-recon"><img src="https://agentmods.dev/badge/skills/liortesta/clawdagent/dark-web-recon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 837 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00000 $0.00837
Opus 5 $0.00000 $0.00418
Sonnet 5 $0.00000 $0.00167
Haiku 4.5 $0.00000 $0.00084

Measured 5d ago against content hash 6ee891c2a6a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

dark-web-recon 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 5d 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.

.claude/skills/21-security-testing/dark-web-recon/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dark Web Reconnaissance — Da7rkx0

For authorized threat intelligence and security research only.

Overview

Da7rkx0 represents dark web reconnaissance capabilities used during authorized threat intelligence gathering and security assessments. Understanding dark web monitoring is essential for proactive defense — identifying leaked credentials, sold data, and emerging threats before they are exploited.

Core Capabilities

  • Credential Monitoring: Monitor paste sites and forums for leaked organizational credentials
  • Data Leak Detection: Identify if organizational data appears on dark web marketplaces
  • Threat Intelligence: Track threat actor activities, TTPs (Tactics, Techniques, Procedures)
  • Brand Monitoring: Detect phishing kits and fraudulent sites targeting the organization
  • Vulnerability Intelligence: Track zero-day discussions and exploit availability
  • Insider Threat Indicators: Monitor for employee data being sold or shared

Threat Intelligence Workflow

1. DEFINE SCOPE → Organizational assets to monitor
   - Domain names, email patterns
   - IP ranges, technology stack
   - Key personnel names
   - Product names, internal project names

2. PASSIVE MONITORING → Automated scanning
   - Paste sites (Pastebin, Ghostbin, etc.)
   - Breach databases
   - Dark web forums and marketplaces
   - Telegram channels
   - Hacker forums

3. ANALYSIS → Correlate and validate findings
   - Verify credential validity (against own systems only)
   - Assess data freshness and severity
   - Identify threat actors and their patterns
   - Map to MITRE ATT&CK framework

4. RESPONSE → Act on findings
   - Force password resets for exposed credentials
   - Takedown fraudulent sites
   - Update firewall rules for identified IOCs
   - Brief security team on emerging threats

5. REPORT → Document for stakeholders
   - Executive summary with business impact
   - Technical details with IOCs
   - Remediation recommendations
   - Ongoing monitoring plan

Read the full file on GitHub · 89 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.

  1. 5d ago First seen · 89 lines · 0 tokens per session scan A 6ee891c2a6a7

Subscribe to this mod's changes

dark-web-recon is a skill published in the GitHub repository liortesta/ClawdAgent (11 stars, last pushed 12d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 837 tokens. 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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