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Cost Report

CommunityPopular
ruvnet
cost-report

Generate a cost report showing token usage and USD costs by agent and model

Overview

Publisherruvnet
Repositoryruflo
Skill namecost-report
Stars
72.7K
Forks
8.6K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ruvnet on GitHub. Read the source before you install it.

Installation

Install the Cost Report AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ruvnet/ruflo.git /tmp/ruflo
mkdir -p .claude/skills
cp -r /tmp/ruflo/plugins/ruflo-cost-tracker/skills/cost-report .claude/skills/cost-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cost Report in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cost Report on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cost Report is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cost Report

Generate a comprehensive cost report showing token usage, USD costs, and budget utilization for the specified period.

When to use

When you need to understand current spending -- how much each agent costs, which models consume the most budget, and whether you're on track to stay within budget.

Steps

  1. Retrieve usage -- call mcp__plugin_ruflo-core_ruflo__memory_search (or _list / _retrieve) on the cost-tracking namespace for the specified period (default: today). The memory_* tools route by namespace string; the agentdb_hierarchical-* tools do not (they route by tier working|episodic|semantic), so don't use them here. See ruflo-agentdb ADR-0001 §"Namespace convention" for the routing contract. 1a. Read measured booster data -- if docs/benchmarks/runs/latest.json exists, load it via Bash-shelled node -e 'console.log(JSON.stringify(JSON.parse(require("fs").readFileSync("docs/benchmarks/runs/latest.json")).summary))'. This provides Tier 1 measured values — booster cost/edit ($0), avg latency, win rate, plus any LLM baseline that was run (Gemini, Sonnet 4.6, Opus 4.7 latencies and per-edit costs). Use these in step 4 for the measured Tier breakdown rather than estimated.
  2. Compute costs -- for each record, calculate cost using model pricing:
    • Haiku: $0.25/M input, $1.25/M output
    • Sonnet: $3.00/M input, $15.00/M output
    • Opus: $15.00/M input, $75.00/M output
    • Include cache write/read costs where applicable
  3. Aggregate by model -- sum costs per model, compute percentage share
  4. Aggregate by tier -- classify each record as Tier 1 / Tier 2 / Tier 3 using three signals (in priority order): (a) bench data from step 1a — for any record that maps to a measured booster intent, use $0 / measured-latency directly; (b) the [AGENT_BOOSTER_AVAILABLE] flag stored by the cost-booster-route skill in cost-tracking; (c) the model name as fallback (haiku → Tier 2; sonnet/opus → Tier 3). Sum costs per tier, compute share, and count Tier 1 bypasses. The tier breakdown is the most actionable single line — it tells the user what fraction of Sonnet/Opus spend was Tier 1-eligible.
  5. Aggregate by agent -- sum costs per agent, include the model each agent used
  6. Check budget -- recall budget configuration via memory_retrieve and compute utilization percentage, check alert thresholds (50%/75%/90%/100%)
  7. Report -- display: total cost, budget remaining, tier breakdown (Tier 1 / Tier 2 / Tier 3), model breakdown, agent breakdown, active alerts. See REFERENCE.md §"Cost report shape" for the canonical layout.

CLI alternative

bash
npx @claude-flow/cli@latest memory search --query "cost report for today" --namespace cost-tracking
npx @claude-flow/cli@latest memory list --namespace cost-tracking

Frequently asked questions

What does the Cost Report AI skill do?

Generate a cost report showing token usage and USD costs by agent and model

Why use Cost Report on TypingMind?

Because you install it once and use it with any model. Cost Report is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cost Report in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-cost-tracker/skills/cost-report. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cost Report?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cost Report?

As many as you like. As long as a model supports skills, you can use Cost Report with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cost Report AI skill free?

Yes. It is published on GitHub by ruvnet under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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