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Cost Track

CommunityPopular
ruvnet
cost-track

Auto-capture per-session token usage from the Claude Code session jsonl and persist to the cost-tracking namespace

Overview

Publisherruvnet
Repositoryruflo
Skill namecost-track
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 Track 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-track .claude/skills/cost-track
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cost Track 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 Track 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 Track 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 Track

Reads the active Claude Code session jsonl (~/.claude/projects/<encoded-cwd>/<session>.jsonl), tallies assistant-message usage per model, computes USD cost using REFERENCE.md pricing, and writes a structured record to the cost-tracking AgentDB namespace. This is the producer that gives cost-report and cost-optimize real data to consume.

When to use

  • After a meaningful chunk of work, to capture spend for the report.
  • At session-end to persist the final tally.
  • Periodically during long sessions (cron-friendly — see /loop 30m).

Steps

  1. Run the tracker from the project root:

    bash
    node plugins/ruflo-cost-tracker/scripts/track.mjs

    The script auto-discovers the session jsonl from the current working directory. To pin a specific session: TRACK_SESSION=/path/to/session.jsonl. To dry-run (no memory write): TRACK_DRY_RUN=1.

  2. Inspect the markdown summary — total cost, per-model and per-tier breakdowns, and the persisted memory key.

  3. Verify persistencemcp__plugin_ruflo-core_ruflo__memory_search --query "session-" --namespace cost-tracking should list the new record. cost-report step 1 reads from this namespace.

Record shape (in cost-tracking namespace)

Key: session-<sessionId>. Value (JSON):

json
{
  "sessionId": "1dba3b8c-...",
  "cwd": "/Users/cohen/Projects/ruflo",
  "startedAt": "2026-05-04T...",
  "endedAt": "2026-05-05T...",
  "messageCount": 234,
  "byModel": {
    "claude-opus-4-7": {
      "tier": "opus",
      "input_tokens": 12345,
      "output_tokens": 6789,
      "cache_creation_input_tokens": 800000,
      "cache_read_input_tokens": 2000000,
      "messages": 50,
      "cost_usd": 1.23
    }
  },
  "byTier": { "haiku": 0.0, "sonnet": 0.45, "opus": 1.23, "unknown": 0 },
  "total_cost_usd": 1.68,
  "capturedAt": "2026-05-05T..."
}

Pricing source of truth

The script's PRICING constant mirrors REFERENCE.md "Model pricing (USD per 1M tokens)". Update both together when prices change. Cache-write tokens are billed at cache_write rate; cache-read tokens at cache_read (per Anthropic billing docs).

Env overrides

EnvDefaultPurpose
TRACK_CWDprocess.cwd()Override which project's sessions to scan
TRACK_SESSIONmost-recent jsonlPin a specific session file
TRACK_OUTunsetAlso write the JSON summary to this path
TRACK_DRY_RUN=1unsetSkip the memory store call
TRACK_QUIET=1unsetSuppress markdown output
TRACK_NAMESPACEcost-trackingOverride target namespace

Cross-references

  • cost-report (consumer) — reads records produced by this skill
  • REFERENCE.md "Cost attribution formula" — the math the script implements
  • cost-budget-check (consumer; landing in P2) — reads totals to evaluate alerts

Frequently asked questions

What does the Cost Track AI skill do?

Auto-capture per-session token usage from the Claude Code session jsonl and persist to the cost-tracking namespace

Why use Cost Track on TypingMind?

Because you install it once and use it with any model. Cost Track 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 Track 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-track. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cost Track?

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 Track?

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

Is the Cost Track 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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