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monthly-burn

monthly-burn is a skill for Claude Code, Codex from dailyaiagents-cpu/dailyai-os. It costs 85 tokens per session (801 once invoked), scanned A, original, MIT.

A monthly report that gathers cash costs from services such as Anthropic, ElevenLabs, Cloudflare, Stripe, GitHub Actions, and domain registrations.

In plain words
What is it for?
Use it to create the current month's or a specified month's burn report in data/finance/burn/. It can read connected service data, usage files, and manually supplied entries.
Why use it?
It puts recurring expenses in one statement and clearly marks costs that could not be read automatically, so missing data is not mistaken for zero spending.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

not rated 0repo 6mo ago A scan 85 tokens original MIT

Good fit Use it to create the current month's or a specified month's burn report in data/finance/burn/. It can read connected service data, usage files, and manually supplied entries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dailyaiagents-cpu/dailyai-os/monthly-burn
View source ↗ dailyaiagents-cpu/dailyai-os
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add dailyaiagents-cpu/dailyai-os --skill monthly-burn
Clone the repo
git clone --depth 1 https://github.com/dailyaiagents-cpu/dailyai-os

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for monthly-burn

README.md
[![agentmods](https://agentmods.dev/badge/skills/dailyaiagents-cpu/dailyai-os/monthly-burn/github.svg)](https://agentmods.dev/skills/dailyaiagents-cpu/dailyai-os/monthly-burn)
Your own site
<a href="https://agentmods.dev/skills/dailyaiagents-cpu/dailyai-os/monthly-burn"><img src="https://agentmods.dev/badge/skills/dailyaiagents-cpu/dailyai-os/monthly-burn/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for monthly-burn

Your own site · 80×15
<a href="https://agentmods.dev/skills/dailyaiagents-cpu/dailyai-os/monthly-burn"><img src="https://agentmods.dev/badge/skills/dailyaiagents-cpu/dailyai-os/monthly-burn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 801 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00085 $0.00801
Opus 5.5 $0.00034 $0.00320
Sonnet 5.5 $0.00017 $0.00160
Haiku 4.5 $0.00009 $0.00080

Measured 2mo ago against content hash 00cf49bcd39e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

monthly-burn scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (run.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/monthly-burn/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

monthly-burn

The thesis: a founder cannot manage what they cannot see. Cost visibility per source per month is the table that decides which experiments live and which die. The skill reads MCP-exposed sources where possible; everything else surfaces as Cooper-manual-entry so the gap is visible.

Procedure

bash skills/monthly-burn/run.sh           # current month
bash skills/monthly-burn/run.sh --month 2026-04 # specific month
bash skills/monthly-burn/run.sh --dry-run

Pipeline

For each cost source:

  1. Anthropic: read data/finance/manual/anthropic-<YYYY-MM>.txt if it exists (Cooper paste). Otherwise Cooper-manual-entry.
  2. ElevenLabs: read data/voice/elevenlabs_usage.json if present + token-cost calc.
  3. Cloudflare: placeholder — no Cloudflare worker billed yet. Once verify-license deploys, read CF metrics.
  4. Stripe fees: query Stripe MCP if loaded; otherwise read data/finance/manual/stripe-<YYYY-MM>.txt.
  5. GitHub Actions minutes: query GitHub MCP if loaded; otherwise Cooper-manual-entry.
  6. Domain registrations: read data/finance/domain-registrations.json (annual entries; pro-rated to month).
  7. Stripe payouts received: subtract from gross to compute net (income side).

Sum to a monthly total. Flag any Cooper-manual-entry rows.

Output schema (data/finance/burn/.md)

# Monthly burn — <YYYY-MM>

## Sources

| Source | This month | Source-of-truth | Status |
|---|---|---|---|
| Anthropic | $X | data/finance/manual/anthropic-... | automated/manual |
| ElevenLabs | $Y | data/voice/elevenlabs_usage.json | automated |
| Cloudflare | $0 | n/a (worker not deployed) | placeholder |
| Stripe fees | $Z | Stripe MCP / manual | automated/manual |
| GitHub Actions | $W | GitHub MCP / manual | automated/manual |
| Domain registrations | $V | data/finance/domain-registrations.json | automated |
| **Total burn** | $T | | |

## Manual-entry gaps

- <list of sources that fell back to Cooper-manual-entry>

## Trend

- Last month total: $T_prev
- Delta: ±$D

Read the full file on GitHub · 73 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 73 lines · 85 tokens per session scan A 00cf49bcd39e

Subscribe to this mod's changes

monthly-burn is a skill published in the GitHub repository dailyaiagents-cpu/dailyai-os (0 stars, last pushed 6mo ago), licensed MIT. It adds 85 tokens to every session and 801 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Analytics and metricsFinance and fintech
Related

monthly-burn compared with skills from other repositories

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