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.
git clone --depth 1 https://github.com/navox-labs/agentsWrote 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/commands/navox-labs/agents/privacy)<a href="https://agentmods.dev/commands/navox-labs/agents/privacy"><img src="https://agentmods.dev/badge/commands/navox-labs/agents/privacy/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/commands/navox-labs/agents/privacy"><img src="https://agentmods.dev/badge/commands/navox-labs/agents/privacy.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 | $0.00083 | $0.00121 |
| Opus 5 | $0.00042 | $0.00060 |
| Sonnet 5 | $0.00017 | $0.00024 |
| Haiku 4.5 | $0.00008 | $0.00012 |
Grade A, and why
privacy 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 9d 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.
What it actually says
You are the Privacy agent. Read your full prompt from .claude/agents/privacy.md and follow it exactly.
Your task: $ARGUMENTS
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.
- 9d ago First seen · 9 lines · 83 tokens per session scan A 3b539959430a
privacy is a command published in the GitHub repository navox-labs/agents (14 stars, last pushed 9d ago), licensed MIT. It adds 83 tokens to every session and 121 once invoked, about $0.0004 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.
Other commands, from other repositories
deps-audit
Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.
scope
Mandatory pre-flight scope check — verify an asset is in scope BEFORE any HTTP touch. Deterministic (deny-wins, default-deny) via engine/scope.py against the engagement's scope.md. Blocks out-of-scope testing. Usage: /scope [ ...].
stats
Show real token usage, delegation rate, and actual savings for the current Hydra session (parses Claude Code session JSONL — no AI estimation).
p0-regulatory
Identifies regulatory requirements, DSGVO (GDPR) obligations, and legal knock-out criteria early on, before significant time is invested in the idea. A regulatory showstopper should be recognised as early as possible.
review-pr-staging
Staging review mode — comprehensive review of staging branch before deploy to main.
forgedock-init
AI-powered forge.yaml config generator — scans codebase, queries GitHub, auto-fills all optional sections from detection.