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.
npx skills add dailyaiagents-cpu/dailyai-os --skill monthly-burngit clone --depth 1 https://github.com/dailyaiagents-cpu/dailyai-osWrote 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.
[](https://agentmods.dev/skills/dailyaiagents-cpu/dailyai-os/monthly-burn)<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.
<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>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00085 | $0.00801 |
| Opus 5 | $0.00043 | $0.00400 |
| Sonnet 5 | $0.00017 | $0.00160 |
| Haiku 4.5 | $0.00009 | $0.00080 |
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 11d ago.
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.
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:
- Anthropic: read
data/finance/manual/anthropic-<YYYY-MM>.txtif it exists (Cooper paste). OtherwiseCooper-manual-entry. - ElevenLabs: read
data/voice/elevenlabs_usage.jsonif present + token-cost calc. - Cloudflare: placeholder — no Cloudflare worker billed yet. Once
verify-licensedeploys, read CF metrics. - Stripe fees: query Stripe MCP if loaded; otherwise read
data/finance/manual/stripe-<YYYY-MM>.txt. - GitHub Actions minutes: query GitHub MCP if loaded; otherwise
Cooper-manual-entry. - Domain registrations: read
data/finance/domain-registrations.json(annual entries; pro-rated to month). - 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
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.
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.
- 11d ago First seen · 73 lines · 85 tokens per session scan A 00cf49bcd39e
monthly-burn is a skill published in the GitHub repository dailyaiagents-cpu/dailyai-os (0 stars, last pushed 4mo ago), licensed MIT. It adds 85 tokens to every session and 801 once invoked, about $0.0004 per session on Opus 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.
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