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Cost Estimator

Community
XuanRanL
cost-estimator

Pre-flight cost estimate for a planned /article run. Use BEFORE /article or when user asks "how much will this cost?" / "what's the estimate?". Outputs USD breakdown by category + 80% confidence band + budget check.

Overview

PublisherXuanRanL
Repositoryloamwright-SEO-Skill
Skill namecost-estimator
Stars
52
Forks
9
Bundled files
Instructions only
LicenseApache-2.0
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 XuanRanL on GitHub. Read the source before you install it.

Installation

Install the Cost Estimator 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.
    https://github.com/XuanRanL/loamwright-SEO-Skill/tree/main/subskills/cross-cutting/cost-estimator
  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/XuanRanL/loamwright-SEO-Skill.git /tmp/loamwright-SEO-Skill
mkdir -p .claude/skills
cp -r /tmp/loamwright-SEO-Skill/subskills/cross-cutting/cost-estimator .claude/skills/cost-estimator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cost Estimator 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 Estimator 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 Estimator 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 Estimator (Pre-flight)

Before user commits 30 min + $2.40 to /article, show them the estimate.

When to invoke

  • /cost-estimate — defaults to listicle 6000w
  • /cost-estimate listicle 6000
  • /cost-estimate --brief workspace/abc/brief.json
  • User asks: "how much for a pillar page?", "what does an article cost?", "is this gonna be over budget?"
  • Auto-trigger via L1 SKILL.md before phase-research starts (mandatory pre-flight)

How to invoke

bash
# By format + word count
python -m scripts._core.cost_estimator --format listicle --words 6000

# From an existing brief.json
python -m scripts._core.cost_estimator --brief workspace/abc123/brief.json --json

# With cheaper config
python -m scripts._core.cost_estimator \
    --format how-to-guide --words 4500 \
    --images 2 --image-quality medium --batch

# Machine-readable
python -m scripts._core.cost_estimator --format pillar-page --json

Output (human-readable)

━━━ /article cost estimate ━━━━━━━━━━━━━━━━━━━━━━━━━
  Format: listicle (target 6000 words)
  Images: 6 × high-quality 1024² (batch)   ← count = image_policy.DEFAULT_IMAGE_COUNT (format rows may set fewer)
  Drafter / pipeline model: claude-opus-4-7 / claude-opus-4-7
  Cache hit rate assumed: 30%

Breakdown:
  Research (Tavily ×8 adv search + 12 extracts): $0.1664
  Drafting (6000w via claude-opus-4-7, 21,000 in + 8,400 out + 9,000 cached): $0.3360
  Pipeline stages (13 stages, 124,000 in + 13,500 out via claude-opus-4-7): $0.6469
  Images (4 × gpt-image-2 high 1024² batch): $0.4220
  Overhead buffer (10%): $0.1571

  TOTAL:         $1.73
  80% range:    $1.30 – $2.25

  ✓ Within budget.

Typical costs by format (rough)

FormatWordsEst. cost (high+batch)
news-analysis1500~$1.40
definition3500~$2.00
how-to-guide4500~$2.40
product-review4500~$2.40
comparison4500~$2.50
case-study5500~$3.10
listicle6000~$1.73
pillar-page6500~$3.40

Levers to lower cost

  1. Use Batch API for images — 50% off (default; toggle with --no-batch)
  2. Lower image quality — medium cuts image cost 4×, low cuts 35×
  3. Fewer images — --images 2 instead of 4
  4. Cheaper drafter model — --drafter-model claude-sonnet-4-6 cuts ~60%
  5. Cheaper pipeline model — --pipeline-model claude-haiku-4-5 cuts ~80%
  6. Smaller word count — costs scale ~linearly with words

Budget check semantics

approved — Within per-article + daily limits needs_approval — Above 50% of per-article budget OR 80% daily blocked — Exceeds per-article OR would push daily over limit

If blocked, suggest lowering image quality OR shortening word count OR raising budget in ~/.xuanran-seo/config.yaml.

What this skill does NOT do

  • ❌ Actually run /article (that's L1 SKILL.md)
  • ❌ Calibrate estimates from past runs (future closed-loop work — Step P2-真)
  • ❌ Lock in pricing (estimates can be ±25%)

Pre-flight integration

L1 SKILL.md should call this BEFORE phase-research kicks off:

bash
python -m scripts._core.cost_estimator --brief workspace/$TASK/brief.json --json

If total_usd > per_article_limit: pause and ask user before continuing.

Frequently asked questions

What does the Cost Estimator AI skill do?

Pre-flight cost estimate for a planned /article run. Use BEFORE /article or when user asks "how much will this cost?" / "what's the estimate?". Outputs USD breakdown by category + 80% confidence band + budget check.

Why use Cost Estimator on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/XuanRanL/loamwright-SEO-Skill/tree/main/subskills/cross-cutting/cost-estimator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cost Estimator?

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 Estimator?

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

Is the Cost Estimator AI skill free?

Yes. It is published on GitHub by XuanRanL under the Apache-2.0 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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