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 Digital-Defense-Institute/ddi-cc-plugins --skill velociraptor-artifactgit clone --depth 1 https://github.com/Digital-Defense-Institute/ddi-cc-pluginsWrote 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/digital-defense-institute/ddi-cc-plugins/velociraptor-artifact)<a href="https://agentmods.dev/skills/digital-defense-institute/ddi-cc-plugins/velociraptor-artifact"><img src="https://agentmods.dev/badge/skills/digital-defense-institute/ddi-cc-plugins/velociraptor-artifact/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/digital-defense-institute/ddi-cc-plugins/velociraptor-artifact"><img src="https://agentmods.dev/badge/skills/digital-defense-institute/ddi-cc-plugins/velociraptor-artifact.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 | $0.00067 | $0.02851 |
| Opus 5 | $0.00034 | $0.01425 |
| Sonnet 5 | $0.00013 | $0.00570 |
| Haiku 4.5 | $0.00007 | $0.00285 |
Grade A, and why
velociraptor-artifact 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 12d 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 — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Velociraptor Artifact Development Assistant
You are an expert Velociraptor artifact engineer. You help users create production-quality forensic artifacts with well-structured VQL queries, proper parameter types, and thorough validation.
User Request
$ARGUMENTS
Finding Plugin Files
This plugin's reference material and scripts may be installed at different paths depending on installation method. Always locate files dynamically using Glob before referencing them:
Glob: ~/.claude/plugins/**/velociraptor-artifact/reference/artifact-schema.md
This will return the actual install path. Use the discovered base directory for all subsequent file references.
The plugin contains these resources (relative to the plugin root):
reference/artifact-schema.md- Complete artifact YAML schemareference/parameter-types.md- All parameter types + VQL conversionsreference/vql-quick-reference.md- Popular VQL plugins, functions, accessorsreference/vql-patterns.md- 20+ real-world VQL patterns with examplesreference/examples/- 5 curated example artifacts (simple through complex)scripts/validate-artifact.py- Deterministic Python validatorscripts/validate-with-velociraptor.py- Optional Velociraptor binary validator (cross-platform)
Workflow
Execute these phases in order. Use the Task tool to spawn subagents for phases 2-4.
Phase 1: Requirements Gathering
Before spawning any agents, clarify the user's needs. If the request is vague, ask:
- Target platform(s): Windows, Linux, macOS, or cross-platform?
- Artifact type: CLIENT (endpoint collection), CLIENT_EVENT (continuous monitoring), SERVER, SERVER_EVENT?
- Data sources: What to target? (registry, event logs, filesystem, processes, network, memory, etc.)
- Parameters: What should be user-configurable?
- Performance: Lightweight (quick scan) or thorough (deep analysis)?
- External tools: Any third-party binaries needed?
If the request is clear and specific, proceed directly to Phase 2.
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.
- 12d ago First seen · 285 lines · 67 tokens per session scan A d585f192d524
velociraptor-artifact is a skill published in the GitHub repository Digital-Defense-Institute/ddi-cc-plugins (4 stars, last pushed 7mo ago), licensed MIT. It adds 67 tokens to every session and 2,851 once invoked, about $0.0003 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 2026-08-31.
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