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osint

osint is a skill for Claude Code, Codex from smixs/osint-skill. It costs 153 tokens per session (5,641 once invoked), scanned A, original, MIT.

A deep online-investigation workflow about a person, starting from a name, username, or URL. OSINT means gathering intelligence from publicly available sources, combined here with career, relationship, and personality analysis.

In plain words
What is it for?
Use it to build or extend a person's digital-footprint dossier, career history, social graph, or personality profile. It can also assess an existing dossier or reformat its findings.
Why use it?
It organizes scattered information into a scored profile and shows how complete or reliable the collected material is.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; positional $N argument.

Not installable on its own: it runs a file from its repository that does not travel with it. Clone the repository, or install whatever ships that file. The line is python3 skills/telegram/scripts/tg.py search "Name" 20.

not rated 120 +1 5mo ago A scan 153 tokens original MIT
View the source file smixs/osint-skill
Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/smixs/osint-skill/osint.svg)](https://agentmods.dev/skills/smixs/osint-skill/osint)
Your own site
<a href="https://agentmods.dev/skills/smixs/osint-skill/osint"><img src="https://agentmods.dev/badge/skills/smixs/osint-skill/osint.svg" alt="Measured on agentmods" height="20"></a>
Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,641 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00153 $0.05641
Opus 5 $0.00077 $0.02821
Sonnet 5 $0.00031 $0.01128
Haiku 4.5 $0.00015 $0.00564

Measured 6d ago against content hash 64581e910551, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

osint 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 6d ago.

The scan reads SKILL.md. This mod also ships 13 executable files (scripts/apify.sh, scripts/brightdata.sh, scripts/diagnose.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

osint/SKILL.md · 453 lines

How it starts

The opening of the file, as written. The whole thing — 453 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OSINT Skill v3.2

Systematic intelligence gathering on individuals. From a name or handle to a scored dossier with psychoprofile, career map, and entry points.

Phase Router

Determine entry point from context:

  • New name/handle/URL, "пробей", "find out about" → Phase 0 (full cycle)
  • "Add LinkedIn/Instagram data" to existing dossier → Phase 2 (extraction)
  • "Build psychoprofile" from existing data → Phase 4
  • "Rate completeness" of existing dossier → Phase 5
  • "Reformat" or "present" findings → Phase 6

Default (full research request): Phase 0 → 1 → 1.5 → 2 → 3 → 4 → 5 → 6.

Environment

All API keys via environment variables. Never hardcode tokens.

  • PERPLEXITY_API_KEY — Perplexity Sonar (fast answers + deep research)
  • EXA_API_KEY — Exa AI (semantic search, company/people research, deep research)
  • TAVILY_API_KEY — Tavily (agent-optimized search + extract, $0.005/req basic)
  • APIFY_API_TOKEN — Apify scraping (LinkedIn, Instagram, Facebook)
  • JINA_API_KEY — Jina reader/search/deepsearch
  • PARALLEL_API_KEY — Parallel AI search
  • BRIGHTDATA_MCP_URL — Bright Data MCP endpoint (full URL with token)
  • MCPORTER_CONFIG — mcporter config path

Scripts

Run from skill dir: bash scripts/<name>.sh. Each validates env vars, exits with descriptive error + URL to get the key.

Search & Research:

  • diagnose.sh — run FIRST. Capability map of all tools.
  • perplexity.sh — search <query> | sonar <query> (AI answer) | deep <query> (deep research)
  • tavily.sh — search <query> (basic $0.005) | deep <query> (advanced) | extract <url>
  • exa.sh — search <query> | company <name> | people <name> | crawl <url> | deep <prompt>
  • first-volley.sh "Name" "context" — parallel search, all engines at once.
  • merge-volley.sh <outdir> — deduplicate and merge first-volley results.

Scraping:

  • apify.sh — linkedin <url> | instagram <handle> | run | results | store-search
  • run-actor.sh — universal Apify runner (55+ actors). Embedded from apify/agent-skills. Quick answer: bash scripts/run-actor.sh "actor/id" '{"input":"json"}' Export: bash scripts/run-actor.sh "actor/id" '{"input":"json"}' --output /tmp/out.csv
  • jina.sh — read <url> | search <query> | deepsearch <query>
  • parallel.sh — search <query> | extract <url>
  • brightdata.sh — scrape <url> | scrape-batch | search | search-geo <cc> | search-yandex

Read the full file on GitHub · 453 lines

Files

What ships with it

19 files 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. 6d ago First seen · 453 lines · 153 tokens per session scan A 64581e910551

Subscribe to this mod's changes

osint is a skill published in the GitHub repository smixs/osint-skill (120 stars, last pushed 5mo ago), licensed MIT. It adds 153 tokens to every session and 5,641 once invoked, about $0.0008 per session on Opus 5. 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 2026-08-30.

Researchagent-skillapifyclaude-codeintelligenceosintskill
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