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 fleet-hunting-with-velociraptorgit 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/fleet-hunting-with-velociraptor)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/fleet-hunting-with-velociraptor"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/fleet-hunting-with-velociraptor/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/fleet-hunting-with-velociraptor"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/fleet-hunting-with-velociraptor.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 Privilege Escalation · line 48 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
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 | $0.00028 | $0.02023 |
| Opus 5 | $0.00014 | $0.01012 |
| Sonnet 5 | $0.00006 | $0.00405 |
| Haiku 4.5 | $0.00003 | $0.00202 |
Grade B, and why
fleet-hunting-with-velociraptor scanned grade B 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 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo mv velociraptor-v0.*-linux-amd64 /usr/local/bin/velociraptor How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fleet Hunting with Velociraptor
Authorized Use Only: Velociraptor agents provide deep endpoint visibility and remote collection. Deploy only on assets you own or are authorized to monitor, in accordance with your monitoring policy and applicable law.
Overview
Velociraptor is an open-source endpoint visibility and digital-forensics platform from Rapid7/Velocidex. A single Go binary acts as server, client (agent), and CLI depending on how it is invoked and configured. Its power comes from VQL (Velociraptor Query Language) — an SQL-like language whose plugins query the live state of an endpoint (processes, files, registry, event logs, WMI, network connections, prefetch, etc.). VQL queries are packaged into reusable Artifacts, and Artifacts are run at scale as Hunts that fan out across every connected client and stream results back to the server as structured rows.
This makes Velociraptor ideal for fleet-wide threat hunting: a hypothesis ("are any hosts running suspicious PowerShell?") becomes a VQL artifact, deployed as a hunt, with results aggregated centrally in minutes. It also supports offline collectors (standalone executables that collect and bundle artifacts on air-gapped or unmanaged hosts) and live forensic notebooks.
When to Use
- Hunting for a TTP across hundreds or thousands of endpoints from a single console.
- Collecting forensic artifacts on demand during incident response without re-imaging.
- Continuously monitoring for an indicator using client-side event artifacts.
- Generating standalone offline collectors for hosts you cannot enroll.
Prerequisites
- A Linux or Windows host for the server (Linux recommended for production).
- The Velociraptor binary from the official release page: https://github.com/Velocidex/velociraptor/releases
- Outbound/inbound connectivity from clients to the server frontend port (default 8000) and admin GUI (default 8889).
- Make the binary executable on Linux:
chmod +x velociraptor-v0.*-linux-amd64 sudo mv velociraptor-v0.*-linux-amd64 /usr/local/bin/velociraptor
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 · 198 lines · 28 tokens per session scan B 07288f94c725
fleet-hunting-with-velociraptor is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 28 tokens to every session and 2,023 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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