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 kelpi-ai/meta-ads-skills --skill budget-pacergit clone --depth 1 https://github.com/kelpi-ai/meta-ads-skillsWrote 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/kelpi-ai/meta-ads-skills/budget-pacer)<a href="https://agentmods.dev/skills/kelpi-ai/meta-ads-skills/budget-pacer"><img src="https://agentmods.dev/badge/skills/kelpi-ai/meta-ads-skills/budget-pacer/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/kelpi-ai/meta-ads-skills/budget-pacer"><img src="https://agentmods.dev/badge/skills/kelpi-ai/meta-ads-skills/budget-pacer.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 | $0.00049 | $0.00528 |
| Opus 5.5 | $0.00020 | $0.00211 |
| Sonnet 5.5 | $0.00010 | $0.00106 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
budget-pacer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Budget Pacer
Doctrine
"Every time I touch a winning campaign it crashes" is a scaling story, not a curse: big budget jumps reset learning, and panic edits kill compounding winners. Pacing means the boring version: scale in ~20% steps, no more than once a day, pause what has proven it loses, and let rules carry the discipline your fingers do not have. The loop decides the ceiling: scale only what returns its spend fast enough to fund the next round.
When to use
- An angle has spent 2-3x target cost-per-result and holds. Time to feed it.
- You keep manually raising and lowering budgets on vibes.
- Needs a Meta Ads MCP with write access; everything is proposed as a draft first.
Run it
Budget pacing proposal, draft only, change nothing yet:
1. Read the last 14 days by ad set: spend, results, cost per result.
2. Identify what has EARNED a raise (enough spend to judge, cost per result at or under my target of [$X]) and what has earned a pause (2-3x target spent, no results).
3. Propose:
- a pause rule: pause any ad set whose cost per result exceeds [$X * 1.5] over a 3-day window,
- a scaling plan for the winner: +20% budget steps, at most one step per day, with the next review date,
- a spend guardrail: a rule that alerts me if daily account spend exceeds [$CAP].
4. Show me the rules exactly as they would be created. I will say "create" for the ones I want.
Guardrails
- Drafts until the human says "create". Spend changes are the most sensitive write there is.
- +20% steps, not doublings. A budget doubling is a learning reset wearing a growth costume.
- Pause rules use my numbers ([$X] comes from my loop math), never an invented benchmark.
- If the loop math says the winner still is not profitable at scale, say that instead of scaling it.
Good output looks like
Two or three rules you can read and approve by name, a winner scaling schedule with dates, and no dollar moved without a yes.
What ships with it
1 file 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.
- 2mo ago First seen · 38 lines · 49 tokens per session scan A bef45e15e736
budget-pacer is a skill published in the GitHub repository kelpi-ai/meta-ads-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 49 tokens to every session and 528 once invoked, about $0.0002 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.
budget-pacer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| budget-pacerkelpi-ai/meta-ads-skills | Skill | 5 | 4mo ago | MIT | A | 49 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |