agentmods.dev

ros

ros is a command for Claude Code from Belkins/revenue-os. It costs 8 tokens per session (945 once invoked), scanned A, original, MIT.

A command that shows a dashboard for Revenue OS, a set of tools for organizing a product's path to sales. It loads saved product, customer, positioning, and outreach information.

In plain words
What is it for?
Use it to review product and revenue readiness, see available Revenue OS commands, and choose the next sales or marketing task.
Why use it?
It gives one place to see what has been completed, what is missing, and which action should happen next.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the revenue-os plugin — 10 commands, 1 hook shipped together

not rated 29repo 1mo ago A scan 8 tokens original MIT

Good fit Use it to review product and revenue readiness, see available Revenue OS commands, and choose the next sales or marketing task.

Compare 6 commands from other repositories ↓
View source ↗ Belkins/revenue-os vladyslavpodoliako.com
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add Belkins/revenue-os
Claude Code
/plugin install revenue-os

Made for: Claude Code.

Or install revenue-os, the plugin that ships this one along with the rest of its 10 commands, 1 hook.

Wrote 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.

agentmods badge for ros

README.md
[![agentmods](https://agentmods.dev/badge/commands/belkins/revenue-os/ros/github.svg)](https://agentmods.dev/commands/belkins/revenue-os/ros)
Your own site
<a href="https://agentmods.dev/commands/belkins/revenue-os/ros"><img src="https://agentmods.dev/badge/commands/belkins/revenue-os/ros/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.

agentmods 80×15 button for ros

Your own site · 80×15
<a href="https://agentmods.dev/commands/belkins/revenue-os/ros"><img src="https://agentmods.dev/badge/commands/belkins/revenue-os/ros.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 945 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00008 $0.00945
Opus 5 $0.00004 $0.00473
Sonnet 5 $0.00002 $0.00189
Haiku 4.5 $0.00001 $0.00094

Measured 9d ago against content hash 85eadf2aa099, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ros 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.

plugin/commands/ros.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Revenue OS Dashboard

Load Current State

!bash "${CLAUDE_PLUGIN_ROOT}/scripts/utils/storage.sh" read product !bash "${CLAUDE_PLUGIN_ROOT}/scripts/utils/storage.sh" read icp !bash "${CLAUDE_PLUGIN_ROOT}/scripts/utils/storage.sh" read value-prop !bash "${CLAUDE_PLUGIN_ROOT}/scripts/utils/storage.sh" count-outreach

Industry Benchmarks Reference

!cat "${CLAUDE_PLUGIN_ROOT}/data/industry-benchmarks.json" 2>/dev/null || echo '{}'

Arguments: $ARGUMENTS

Instructions

If $ARGUMENTS is empty or "status":

Display the Revenue OS dashboard showing:

  1. Product Name (from product.json or "Not Analyzed")

  2. Revenue Readiness Score (0-100) Calculate based on the scoring logic below

  3. Checklist with status indicators:

    • ✓ = Complete (green)
    • ⚠ = Partial (yellow)
    • ✗ = Missing (red)

  4. Next Action

    • Recommend the single most important next command based on gaps

  5. Available Commands

    • List all /revenue-os:ros-* commands with brief descriptions

If $ARGUMENTS is "help":

Show detailed help for all commands:

/revenue-os:ros                 - This dashboard
/revenue-os:ros-icp             - Find ideal customers (analyzes your codebase)
/revenue-os:ros-value-prop      - Polish your value proposition
/revenue-os:ros-pricing         - Design pricing architecture
/revenue-os:ros-competitors     - Competitive intelligence (uses web search)
/revenue-os:ros-outreach        - Generate email/LinkedIn sequences
/revenue-os:ros-landing-page    - Create landing page copy
/revenue-os:ros-objections      - Sales objection responses
/revenue-os:ros-first-dollar    - Zero to revenue playbook
/revenue-os:ros-audit           - Full revenue readiness audit

If $ARGUMENTS is "reset":

Warn the user that this will delete all saved data. Only after confirmation, run bash "${CLAUDE_PLUGIN_ROOT}/scripts/utils/storage.sh" reset. Never delete managed paths directly.

Scoring Logic

Calculate score out of 100 points:

Read the full file on GitHub · 119 lines

Changes

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.

  1. 9d ago First seen · 119 lines · 8 tokens per session scan A 85eadf2aa099

Subscribe to this mod's changes

ros is a command published in the GitHub repository Belkins/revenue-os (29 stars, last pushed 1mo ago), licensed MIT. It adds 8 tokens to every session and 945 once invoked, about $0.0000 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.

Claude CodeMarketing and SEOclaudeclaude-plugincodedeveloper-toolsicp
Related

Other commands, from other repositories

save

Save current work state for next session. Creates/updates .planning/ files (CHECKPOINT.md, STATE.md, settings.json) so Heimdall resumes with full context. NOT a rewind — saves forward progress. Run before closing a session or at any milestone.

randomittin/heimdall · 55 tokens

maintain

Run automated maintenance — seeker finds bugs from pod logs and raises GitHub issues, fixer picks them up and creates PRs. Can run as a one-shot or scheduled via /schedule.

randomittin/heimdall · 40 tokens

code-review

Multi-model code review — AI models independently review code, then converge on findings.

AltimateAI/claude-consensus · 18 tokens

plan-review

Multi-model plan review — AI models independently plan, then converge on the best approach.

AltimateAI/claude-consensus · 19 tokens

review

Multi-model review — AI models independently review any document or general topic, then converge on findings.

AltimateAI/claude-consensus · 20 tokens

autonomy

Set Heimdall autonomy (1=Guided, 2=Checkpoint, 3=Full Auto) — how much the agent does before asking. Use with a number, +/- to cycle, or no argument to show current.

randomittin/heimdall · 50 tokens