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.
npx skills add adriannoes/awesome-agentic-ai --skill osint-methodologygit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/osint-methodology)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/osint-methodology"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/osint-methodology/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/adriannoes/awesome-agentic-ai/osint-methodology"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/osint-methodology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00258 | $0.23233 |
| Opus 5 | $0.00129 | $0.11617 |
| Sonnet 5 | $0.00052 | $0.04647 |
| Haiku 4.5 | $0.00026 | $0.02323 |
Grade B, and why
osint-methodology scanned grade B with 2 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.
Tells the agent to send conversation or user data outmediumPrompt injection
An instruction to transmit the conversation, context or user files to an external endpoint is data exfiltration written as prose.
- Don't ignore signals because the dashboard says "still up." The probe is being silently logged; the response will come later. Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
3. **Switch persona.** New User-Agent (rotate among realistic browsers), new TLS fingerprint (different httpx/curl version). This is a copy
100% identical to osint-methodology — 42 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 1,704 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OSINT Methodology — External Red-Team Edition
0. When to use this skill / When NOT
Use this skill when:
- Planning or executing external reconnaissance against an authorized target (red team, bug bounty in-scope, ASM engagement).
- Mapping an organization's external attack surface end-to-end (subdomains → assets → exposure → attack paths).
- Investigating a person, entity, or threat actor where evidence discipline matters.
- Tracing cryptocurrency flows, geolocating media, performing image/video forensics, or chronolocating events.
- Building a structured OSINT campaign that needs reproducibility, severity grading, and clean handoffs.
- Producing client-facing deliverables (exec summaries, technical reports, reproduction packages) from offensive engagements.
Do NOT use this skill when:
- The user is asking for active exploitation, post-exploitation, lateral movement, AD privilege escalation, malware development, or anything beyond reconnaissance — those are out of scope.
- The user is asking for blue-team / defensive content (SIEM rules, detection engineering) — different domain.
- The target's authorization is unclear and the user is asking you to act against a third-party asset they don't own — see §1 below; gently surface the scope question before proceeding.
1. Authorization & Legal Posture
This skill is intended for assets the operator owns or has written authorization to assess (red-team rules of engagement, bug-bounty in-scope assets, ASM contracts).
Soft scope check: when a user asks you to act against a target whose authorization isn't established earlier in the conversation, ask once before proceeding:
"Quick scope check: is this a target you own or have written authorization to assess (e.g., a red-team engagement, in-scope bug-bounty asset, or your own infrastructure)? I want to make sure we stay on the right side of the engagement boundary."
Once authorization is asserted, proceed without re-asking. If the user explicitly states the engagement type (e.g., "this is for our pentest of acme.com under contract"), you don't need to ask again.
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.
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 · 1,704 lines · 258 tokens per session scan B 1b468b0f4fc9
osint-methodology is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 258 tokens to every session and 23,233 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it B with 2 findings (tells the agent to send conversation or user data out, makes network calls). It is 100% identical to osint-methodology, differing in 42 lines, and is treated as a copy.
Other skills, from other repositories
importing-a-codebase
Use when the repo holds real source code but no specs: the existing-codebase branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for empty workspaces (starting-a-new-project) or feature work in a specced project (brainstorming).
starting-a-new-project
Use when the workspace is empty — no code yet — and the user brings a raw idea: the brand-new branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for features in an existing project — use brainstorming instead.
todos
This chat has a shared, live TODO plan — your tasks for the conversation, which the user also edits. Read this skill and reach for the todo tools whenever a request takes more than a couple of steps. It covers the plan model (group = task, items = its steps; loose items are the user's lane), how to work it: propose…
writing-workflow-skills
Use when adding a new workflow skill to pi-thinkrail-workflow, changing an existing workflow skill's role, trigger, handoff, or structure, or checking a workflow skill against the workflow system's rules. Not for authoring general-purpose skills outside this package.
brainstorming
Use this BEFORE any creative or feature work: building a new feature, adding functionality, changing behavior, or making a nontrivial design decision. Turns the user's request into a validated design — recorded as a spec-graph task-spec — before any implementation. Do not skip this because a change looks small.
reviewing-changes
Use when a review package asks you to review a plan step's change set (todo.startReview): you are the REVIEWER, not the author. How to judge an agent-written diff, file findings with addreviewcomment, and settle with exactly one reviewverdict.