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Daily Budget Check

CommunityPopular
hoangsonww
daily-budget-check

Run a daily spend check-in against a daily budget on the Agent Monitor dashboard — today's spend vs the daily target, pace through the day, and the projected overage if the current pace holds. Uses /api/pricing/cost and /api/sessions (grouped by started_at = today). Use for a quick daily spend check-in or a morning/evening budget pulse.

Overview

Publisherhoangsonww
RepositoryClaude-Code-Agent-Monitor
Skill namedaily-budget-check
Stars
1.1K
Forks
260
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Daily Budget Check 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/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-cost-guard/skills/daily-budget-check
  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/hoangsonww/Claude-Code-Agent-Monitor.git /tmp/Claude-Code-Agent-Monitor
mkdir -p .claude/skills
cp -r /tmp/Claude-Code-Agent-Monitor/plugins/ccam-cost-guard/skills/daily-budget-check .claude/skills/daily-budget-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Daily Budget Check 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 Daily Budget Check 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 Daily Budget Check 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.

Daily Budget Check

A fast daily pulse: are you on pace against today's budget?

Input

The user provides: $ARGUMENTS

This is the daily budget in dollars — e.g. "5" or "$5/day". If omitted, ask for one or derive it from a monthly budget (monthly / days_in_month) and state the assumption.

Data Sources

EndpointReturns
GET /api/pricing/cost{ total_cost, breakdown: [{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] } — fleet-wide spend and the avg cost-per-session used to value today's sessions
GET /api/sessions?limit=200Session list with inline cost and started_at — filter to today (DATE(started_at) = today) to isolate today's spend

Method

Spend has no per-day field, so isolate today from the session list:

  1. Today's sessions = sessions whose started_at is today (local date).
  2. Today's spend = sum of inline cost over today's sessions. If inline cost is absent for some rows, fall back to today_session_count × (total_cost / total_session_count) and flag it as approximate.
  3. Pace: fraction_of_day_elapsed = hours_since_midnight / 24. expected_by_now = daily_budget × fraction_of_day_elapsed.
  4. Pace delta = today_spend − expected_by_now (▲ ahead of budget / ▼ behind).
  5. End-of-day projection: projected_today = today_spend / fraction_of_day_elapsed (linear extrapolation of the current pace). Guard against tiny fraction_of_day_elapsed early in the day — if under ~0.1, label the projection low-confidence.
  6. Projected overage = projected_today − daily_budget (positive = over).

Report Sections

1. Today vs budget

One headline line: today's spend / daily budget, and the percent consumed. Verdict: under / on pace / over.

2. Pace

expected_by_now vs actual today_spend, the ▲/▼ pace delta, and the fraction of the day elapsed.

3. End-of-day projection

projected_today and the projected overage/headroom vs the daily budget. Note the confidence (low early in the day).

4. Today's drivers

Today's sessions ranked by cost (top 5): name/id, model, cost. Surface any premium-model session inflating the day.

5. Nudge

If projected over: one concrete cut (route the priciest session type cheaper — see model-savings; or arm a token_threshold rule via budget-set). If under: confirm headroom and the remaining daily allowance.

Output

Compact Markdown — this is a daily check-in, keep it tight. Currency as USD to 4 decimal places; pace deltas with ▲/▼. Lead with the verdict line.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Daily Budget Check AI skill do?

Run a daily spend check-in against a daily budget on the Agent Monitor dashboard — today's spend vs the daily target, pace through the day, and the projected overage if the current pace holds. Uses /api/pricing/cost and /api/sessions (grouped by started_at = today). Use for a quick daily spend check-in or a morning/evening budget pulse.

Why use Daily Budget Check on TypingMind?

Because you install it once and use it with any model. Daily Budget Check 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 Daily Budget Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-cost-guard/skills/daily-budget-check. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Daily Budget Check?

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 Daily Budget Check?

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

Is the Daily Budget Check AI skill free?

Yes. It is published on GitHub by hoangsonww 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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