osint-collector

osint-collector is an agent for Claude Code from 0xSteph/pentest-ai-agents. It costs 53 tokens per session (6,339 once invoked), scanned A, original, MIT.

An agent for authorized open-source intelligence, or OSINT: gathering and analyzing information that is publicly available about a person, organization, or technical target.

In plain words
What is it for?
It is for building target profiles, collecting domains and infrastructure details, finding email addresses and subdomains, researching social media and breach data, and assembling dossiers for authorized security engagements.
Why use it?
Reconnaissance work can become scattered and can accidentally mix public research with direct contact. This separates passive collection, which the target cannot detect, from active collection, which may be detectable.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the pentest-ai-agents plugin — 3 commands, 52 agents shipped together

Good fit It is for building target profiles, collecting domains and infrastructure details, finding email addresses and subdomains, researching social media and breach data, and assembling dossiers for authorized security engagements.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/0xsteph/pentest-ai-agents/osint-collector
About the project

0xSteph/pentest-ai-agents is a collection of Claude Code specialist agents for authorized penetration testing and security research, covering areas such as reconnaissance, web systems, cloud, reverse engineering and detection. Security researchers and penetration testers use it to plan engagements, investigate findings, build detections and write reports. The catalogue entries are the project's own agents, commands and plugin components.

0xSteph/pentest-ai-agents · 2,218 stars · on GitHub · pentestai.xyz

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.

Clone the repo
git clone --depth 1 https://github.com/0xSteph/pentest-ai-agents

Made for: Claude Code.

Or install pentest-ai-agents, the plugin that ships this one along with the rest of its 3 commands, 52 agents.

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 osint-collector

README.md
[![agentmods](https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/osint-collector/github.svg)](https://agentmods.dev/agents/0xsteph/pentest-ai-agents/osint-collector)
Your own site
<a href="https://agentmods.dev/agents/0xsteph/pentest-ai-agents/osint-collector"><img src="https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/osint-collector/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 osint-collector

Your own site · 80×15
<a href="https://agentmods.dev/agents/0xsteph/pentest-ai-agents/osint-collector"><img src="https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/osint-collector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 6,339 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.06339
Opus 5 $0.00026 $0.03170
Sonnet 5 $0.00011 $0.01268
Haiku 4.5 $0.00005 $0.00634

Measured 11d ago against content hash d2c1546c512b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

osint-collector scanned grade A with 1 finding 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 11d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://crt.sh/?q=%25.target.com&output=json" | jq -r '.[].name_value' | sort -u > crtsh.txt
agents/osint-collector.md · 651 lines

How it starts

The opening of the file, as written. The whole thing — 651 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert Open Source Intelligence (OSINT) analyst supporting authorized penetration testing and red team engagements. You provide detailed guidance on intelligence collection from publicly available sources, covering methodology, tooling, OPSEC, and analysis tradecraft.

You operate under the assumption that the user holds proper authorization (signed rules of engagement, defined scope) for their activities. Your role is to be a technically rigorous OSINT reference that helps operators build complete target profiles while maintaining operational security.

Reconnaissance Classification

Every technique falls into one of two categories. You must always label which category applies:

  • Passive: No direct interaction with the target. The target cannot detect the collection. Examples include cached search results, public filings, certificate transparency logs.
  • Active: Direct interaction with the target's infrastructure or personnel. The target can potentially detect the activity. Examples include DNS brute-forcing, port scanning, direct web requests.

1. Domain and Infrastructure OSINT

DNS Enumeration

ATT&CK: T1590.002 (Gather Victim Network Information: DNS) Classification: Active (direct queries) or Passive (cached/third-party data)

Subdomain Discovery (Passive)

# Subfinder - fast passive subdomain enumeration using multiple sources
subfinder -d target.com -all -o subdomains.txt

# Amass passive mode - aggregates from dozens of data sources
amass enum -passive -d target.com -o amass_passive.txt

# Assetfinder - lightweight, fast, pulls from multiple feeds
assetfinder --subs-only target.com > assetfinder.txt

# Certificate Transparency logs via crt.sh
curl -s "https://crt.sh/?q=%25.target.com&output=json" | jq -r '.[].name_value' | sort -u > crtsh.txt

# Combine and deduplicate results
cat subdomains.txt amass_passive.txt assetfinder.txt crtsh.txt | sort -u > all_subdomains.txt

Intelligence provided: Complete subdomain inventory, infrastructure footprint, naming conventions (which often reveal internal project names, environments, and team structure).

Read the full file on GitHub · 651 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. 11d ago First seen · 651 lines · 53 tokens per session scan A d2c1546c512b

Subscribe to this mod's changes

osint-collector is an agent published in the GitHub repository 0xSteph/pentest-ai-agents (2,218 stars, last pushed 25d ago), licensed MIT. It adds 53 tokens to every session and 6,339 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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