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Cost Tracker

CommunityPopular
rohitg00
cost-tracker

Track session costs, set budget alerts, and optimize token spend. Use to check costs mid-session or set spending limits.

Overview

Publisherrohitg00
Repositorypro-workflow
Skill namecost-tracker
Stars
2.9K
Forks
286
Bundled files
Instructions only
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 rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Cost Tracker 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/rohitg00/pro-workflow.git /tmp/pro-workflow
mkdir -p .claude/skills
cp -r /tmp/pro-workflow/skills/cost-tracker .claude/skills/cost-tracker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cost Tracker 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 Tracker 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 Tracker 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 Tracker

Monitor and optimize Claude Code session costs.

Trigger

Use when:

  • Checking session costs
  • Setting budget alerts
  • Optimizing token spend
  • Planning multi-session work

Cost Awareness

Check Current Costs

bash
# Session cost is shown at the end of each session
# Mid-session: check the status bar or run /cost

Cost Drivers

OperationRelative CostOptimization
Large file readsHighUse offset/limit params
Broad grep searchesMediumScope to specific dirs
Subagent spawningHigh (new context)Reuse agents via SendMessage
Repeated tool callsCumulativeBatch operations
MCP tool callsVariableMinimize round-trips
Model selection3-10x differenceUse haiku for simple tasks

Token Budget by Task Type

TaskTypical CostBudget Alert
Bug fix$0.10-0.50$1.00
Feature (small)$0.50-2.00$3.00
Feature (large)$2.00-8.00$10.00
Refactor$1.00-5.00$7.00
Code review$0.20-1.00$2.00

Tool-Call Budgets

Set explicit budgets by task complexity:

Task TypeTool-Call BudgetWrap-Up At
Quick fix / lookup20 calls15
Bug fix30 calls25
Feature (small)50 calls40
Feature (large)80 calls65
Refactor50 calls40

At the wrap-up threshold: commit progress, assess remaining work, decide whether to continue or start fresh.

Optimization Strategies

  1. Scope prompts tightly — "Fix the auth bug in src/auth/login.ts" vs "Fix the auth bug"
  2. Use the right model — Haiku for simple lookups, Sonnet for features, Opus for architecture
  3. Delegate to subagents — Search/explore operations in subagents keep main context lean
  4. Compact proactively — Don't wait for auto-compact; compact at task boundaries
  5. Read selectively — Use offset and limit params for large files
  6. Batch operations — Multiple independent tool calls in one message
  7. One-pass discipline — Write complete solution, test once, stop if green
  8. No re-reads — Don't re-read unchanged files; trust cached knowledge
  9. Read before write — Never write a file without reading it first
  10. Kill output bloat — No sycophantic openers, no closing fluff, no prompt restatement

Budget Alerts

Set mental checkpoints:

  • 50% budget — Are you on track? Should you compact?
  • 80% budget — Wrap up current task, avoid new exploration
  • 100% budget — Commit what you have, start fresh session

Output

text
COST TRACKER
  Session cost: $X.XX
  Token usage: [input]K in / [output]K out
  Cache hit rate: ~XX%

  Top cost drivers:
    1. [operation] — $X.XX
    2. [operation] — $X.XX

  Optimization tips:
    - [specific suggestion]

Rules

  • Track costs as awareness, not hard limits
  • Never sacrifice code quality to save tokens
  • Compact at task boundaries, not mid-task
  • Use subagents for exploration-heavy work

Frequently asked questions

What does the Cost Tracker AI skill do?

Track session costs, set budget alerts, and optimize token spend. Use to check costs mid-session or set spending limits.

Why use Cost Tracker on TypingMind?

Because you install it once and use it with any model. Cost Tracker 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 Tracker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/pro-workflow/tree/main/skills/cost-tracker. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cost Tracker?

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 Tracker?

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

Is the Cost Tracker AI skill free?

It is published on GitHub by rohitg00. Check the repository for licensing terms. 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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