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 skillmds/skillmd --skill ads-mathgit clone --depth 1 https://github.com/skillmds/skillmdWrote 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/skillmds/skillmd/ads-math)<a href="https://agentmods.dev/skills/skillmds/skillmd/ads-math"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/ads-math/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/skillmds/skillmd/ads-math"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/ads-math.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 | $0.00075 | $0.00231 |
| Opus 5.5 | $0.00030 | $0.00092 |
| Sonnet 5 | $0.00015 | $0.00046 |
| Haiku 4.5 | $0.00007 | $0.00023 |
Grade A, and why
ads-math 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 4d 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.
This is a copy
100% identical to ads-math — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Paid Media Financial Model
- Identify the decision and collect units, currency, period, tax/refund treatment, margin, attribution basis, and uncertainty.
- Show the formula and map every input to an operator value or cited artifact.
- Validate denominators, sign, missing values, incompatible windows, and unit conversions.
- Calculate base, downside, and upside cases where uncertainty affects the decision.
- Keep platform-attributed revenue, blended business revenue, cash flow, and contribution margin distinct.
- Return machine-readable inputs, formulas, outputs, sensitivities, and decision implications.
Never fabricate missing financial inputs, hide division-by-zero, or present a point forecast without its assumptions.
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.
- 4d ago First seen · 20 lines · 75 tokens per session scan A 1fe178c2fe98
ads-math is a skill published in the GitHub repository skillmds/skillmd (1 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 231 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ads-math, differing in 2 lines, and is treated as a copy.
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