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 agentmods add commands/ruvnet/ruview/ruview-advancedgit clone --depth 1 https://github.com/ruvnet/RuViewWhat 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 | $0.00033 | $0.00439 |
| Opus 5 | $0.00016 | $0.00219 |
| Sonnet 5 | $0.00007 | $0.00088 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
ruview-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 today.
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
/ruview-advanced
Drive RuView's research-grade / multi-node features.
- Invoke the
ruview-advanced-sensingskill. - Route on
$ARGUMENTS:- multistatic (ADR-029) —
wifi-densepose-signal/src/ruvsense/multistatic.rs,phase_align.rs,coherence_gate.rs; neighbours' APs as illuminators. - cross-viewpoint (ADR-016 viewpoint) —
wifi-densepose-ruvector/src/viewpoint/; needs 2+ nodes;node scripts/mesh-graph-transformer.js. - tomography —
ruvsense/tomography.rs(ISTA L1 voxel solver) + cross-viewpoint geometry; through-wall volumetric. - field-model (ADR-030) —
ruvsense/field_model.rs, SVD room eigenstructure persisted to RVF (Cognitum Seed); residual = perturbation. - intention —
ruvsense/intention.rs, 200–500 ms pre-movement lead signals. - adversarial —
ruvsense/adversarial.rs, physically-impossible-signal + multi-link consistency checks. - security (ADR-032) — mesh hardening: adversarial gate + coherence quarantine + Ed25519 witness chain; run a security review (
docs/security-audit-wasm-edge-vendor.md), see/ruview-verify.
- multistatic (ADR-029) —
- Validate:
cd v2 && cargo test -p wifi-densepose-signal --no-default-features && cargo test -p wifi-densepose-ruvector --no-default-features, thenpython archive/v1/data/proof/verify.py.
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.
- today First seen · 20 lines · 33 tokens per session scan A a91fe6871ea0
ruview-advanced is a command published in the GitHub repository ruvnet/RuView (92,406 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 439 once invoked, about $0.0002 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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