osint-enrich

osint-enrich is a skill for Claude Code, Codex from SecurityTalent/bugskill-ai. It costs 0 tokens per session (380 once invoked), scanned A, original, MIT.

An open-source-intelligence, or OSINT, workflow that builds a dossier about a person or organization from publicly available information.

In plain words
What is it for?
Use it to compile identity, work history, social-media presence, connections, public activities, and technical contributions into a Markdown report.
Why use it?
It gathers scattered public details into one report instead of requiring manual searches across professional profiles, social networks, company sites, and publications.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to compile identity, work history, social-media presence, connections, public activities, and technical contributions into a Markdown report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/securitytalent/bugskill-ai/osint-enrich
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 SecurityTalent/bugskill-ai --skill osint-enrich
Clone the repo
git clone --depth 1 https://github.com/SecurityTalent/bugskill-ai

Made for: Claude Code, Codex.

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-enrich

README.md
[![agentmods](https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/osint-enrich.svg)](https://agentmods.dev/skills/securitytalent/bugskill-ai/osint-enrich)
Your own site
<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/osint-enrich"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/osint-enrich.svg" alt="Measured on agentmods" 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 380 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.
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 $0.00380
Opus 5 $0.00000 $0.00190
Sonnet 5 $0.00000 $0.00076
Haiku 4.5 $0.00000 $0.00038

Measured 7d ago against content hash 5f49d89997a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

osint-enrich 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 7d 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.

Awesome-Claude-Code-Agent-Skills/osint-enrich/SKILL.md · 55 lines

What it actually says

OSINT Enrich

OSINT enrichment and target dossier generation using publicly available information.

Description

Generate comprehensive intelligence dossiers on individuals or organizations using only public sources. Creates detailed profiles including identity information, professional history, social media presence, network connections, and notable activities.

Usage

osint-enrich <target_name>

Examples:

osint-enrich "Dave Kennedy"
osint-enrich "Jane Smith CISO Acme Corp"
osint-enrich "@username"

Output

Generates a markdown dossier in reports/ with:

  • Identity Summary — Name, aliases, roles, location, contact info
  • Professional Profile — Current roles, career timeline, key positions
  • Social Media Presence — Platforms, follower counts, activity patterns
  • Network & Connections — Key colleagues, organizations, affiliations
  • Public Activities — Speaking engagements, publications, media appearances
  • Technical Contributions — Open source projects, tools, research

Sources

All information gathered from PUBLIC sources only:

  • LinkedIn, Twitter/X, GitHub profiles
  • Company websites and press releases
  • Conference talks and publications
  • News articles and interviews
  • Public records and filings

Guidelines

  1. Authorization — Only use for legitimate security research, recruitment, or authorized assessments
  2. Public Only — Never attempt to access private or protected information
  3. Accuracy — Verify information across multiple sources when possible
  4. Classification — Mark all reports as "PUBLIC INFORMATION ONLY"
  5. Ethics — Do not use for harassment, stalking, or malicious purposes

Report Format

Reports are saved as: reports/<target>-<date>.md

Example: reports/kennedy-dave-2025-12-08.md

Files

What ships with it

1 file 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. 7d ago First seen · 55 lines · 0 tokens per session scan A 5f49d89997a3

Subscribe to this mod's changes

osint-enrich is a skill published in the GitHub repository SecurityTalent/bugskill-ai (6 stars, last pushed 22d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 380 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 2026-08-31.

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