Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mishahanin/heading-osnpx agentmods add skills/mishahanin/heading-os/osint-advancedWrote 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.
[](https://agentmods.dev/skills/mishahanin/heading-os/osint-advanced)<a href="https://agentmods.dev/skills/mishahanin/heading-os/osint-advanced"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/osint-advanced/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.
<a href="https://agentmods.dev/skills/mishahanin/heading-os/osint-advanced"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/osint-advanced.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 9 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00144 | $0.02122 |
| Opus 5 | $0.00072 | $0.01061 |
| Sonnet 5 | $0.00029 | $0.00424 |
| Haiku 4.5 | $0.00014 | $0.00212 |
Grade A, and why
osint-advanced 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OSINT-Advanced -- Specialized Database Investigation
Complements /osint with purpose-built OSINT database queries. Where /osint uses WebSearch and Perplexity for broad intelligence, this skill queries curated specialized tools for dimensions general search cannot reach.
This skill is NEVER auto-triggered. It runs ONLY on explicit /osint-advanced invocation.
When to Use This vs. /osint
Use /osint when... |
Use /osint-advanced when... |
|---|---|
| First investigation on any target | /osint already ran but gaps remain |
| Broad intelligence picture needed | Specific dimension needs depth (sanctions, breaches, infrastructure) |
| General company/person/market/tech research | Compliance screening for a deal |
| Standard due diligence | Deep due diligence for the priority regions |
| Quick background check | Username enumeration, face search, breach check |
Variables
target: [Name, company, email, username, domain, or region to investigate]
mode: company | person | technology | market - default: auto-detect
streams: all | comma-separated list - default: auto-select based on mode
depth: quick | full - default: full
Phase 0: Context Loading
Read before any investigation:
reference/osint-advanced-toolkit.md-- Tool registry with endpoints, access methods, validation status (MANDATORY).claude/skills/osint-advanced/references/tool-integration-guide.md-- Per-tool query patterns and response parsingreference/search-domains.md-- Domain filtering for WebSearch callscontext/strategy.md-- Strategic priorities for 31C relevance framingcontext/pipeline.md-- Active deals to cross-referencecontext/people.md-- Key contacts and relationship contextcontext/business-info.md-- ODUN.ONE capabilities- Check
outputs/intel/osint/for existing base OSINT briefs on this target - Check
crm/contacts/if target is a person
Mode auto-detection:
- Company names, ticker symbols, organizations -> company
- Personal names, titles, "who is" -> person
- Country, region, sector, "market for X" -> market
- Product, protocol, "how does X work" -> technology
What ships with it
4 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.
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.
- 8d ago First seen · 196 lines · 144 tokens per session scan A 85d7821b1c7d
osint-advanced is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed 3d ago), licensed Apache-2.0. It adds 144 tokens to every session and 2,122 once invoked, about $0.0007 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 2026-09-03.
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