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/ruvnet/rvcsiWrote 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/ruvnet/rvcsi/rvcsi-inspect)<a href="https://agentmods.dev/commands/ruvnet/rvcsi/rvcsi-inspect"><img src="https://agentmods.dev/badge/commands/ruvnet/rvcsi/rvcsi-inspect.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00299 |
| Opus 5 | $0.00014 | $0.00150 |
| Sonnet 5 | $0.00006 | $0.00060 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
rvcsi-inspect 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 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.
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
/rvcsi-inspect
Print a one-screen summary of a .rvcsi capture.
- Run
rvcsi inspect <file.rvcsi>(add--jsonfor machine-readable output) — orcargo run -p rvcsi-cli -- inspect <file.rvcsi>in a checkout. - Report: capture version, session/source ids, adapter kind, frame count, first/last timestamp + span (ns), the set of channels seen, the set of subcarrier counts seen, mean quality score, the validation breakdown (
accepted/degraded/recovered/rejected/pending), and the calibration version if any. - Flag anything suspicious: many
rejected(bad source or wrong profile), several distinct subcarrier counts (mixed legacy/HT frames — the window pipeline only aggregates consistent runs),channel = 0(channel detection failed at the source), low mean quality. - Natural next steps:
/rvcsi-events <file>(run the detectors),/rvcsi-calibrate --in <file>(learn a baseline),/rvcsi-record …if you need to re-transcode.
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 · 14 lines · 28 tokens per session scan A 6d967cfe47bd
rvcsi-inspect is a command published in the GitHub repository ruvnet/rvcsi (22 stars, last pushed 15d ago), licensed Apache-2.0. It adds 28 tokens to every session and 299 once invoked, about $0.0001 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
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ruview-app
Run a RuView sensing application — presence, vitals, pose, sleep, environment mapping, MAT, point cloud, or a novel RF app.
verify-math
Verify a self-authored mathematical result end to end by routing claims across adversarial review, numerical falsification, symbolic or CAS checks, and Lean, then aggregating one report. Use when a theorem, proposition, conjecture, or paper-wide mathematical argument needs the appropriate combination of verification…
replication-package
Scaffold or audit a social-science replication package at a target directory, and audit the manuscript and its archived research objects against FAIR principles.
debug
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simulation-calibrator
Test and refine simulation accuracy with validation loops, bias detection, and continuous improvement frameworks.