Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/TheMattBerman/meta-ads-kitnpx agentmods add skills/themattberman/meta-ads-kit/meta-adsWrote 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/themattberman/meta-ads-kit/meta-ads)<a href="https://agentmods.dev/skills/themattberman/meta-ads-kit/meta-ads"><img src="https://agentmods.dev/badge/skills/themattberman/meta-ads-kit/meta-ads/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/themattberman/meta-ads-kit/meta-ads"><img src="https://agentmods.dev/badge/skills/themattberman/meta-ads-kit/meta-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 52 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00040 | $0.01824 |
| Opus 5.5 | $0.00016 | $0.00730 |
| Sonnet 5.5 | $0.00008 | $0.00365 |
| Haiku 4.5 | $0.00004 | $0.00182 |
Grade A, and why
meta-ads 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 1mo 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meta Ads — Your AI Ad Manager
Stop clicking through Ads Manager. This skill uses ./run.sh + ./scripts/meta-kit.sh to give you the five things that actually matter about your Meta campaigns — in plain text, every day.
The thesis: 90% of ad management is pattern recognition. Spend trending up or down. CTR declining (creative fatigue). CPA spiking (audience exhaustion). Winners emerging. Losers bleeding.
This skill spots the patterns. You make the calls.
Read workspace/brand/ per the _vibe-system protocol
Follow all output formatting rules from the _vibe-system output format
Brand Memory Integration
Reads: stack.md, creative-kit.md, audience.md, learnings.md (all optional)
| File | What it provides | How it shapes output |
|---|---|---|
workspace/brand/stack.md |
Stored ad account ID, target CPA/ROAS | Auto-fills account, benchmarks performance against targets |
workspace/brand/creative-kit.md |
Brand creative guidelines, assets | Context for creative recommendations |
workspace/brand/audience.md |
Target audience profiles | Interprets audience performance data |
workspace/brand/learnings.md |
Past performance patterns | Spots recurring issues — "this happened last month too" |
Writes
| File | What it contains |
|---|---|
workspace/brand/stack.md |
Stores ad account ID on first use |
workspace/brand/learnings.md |
Appends performance findings, fatigue patterns, winning creative traits |
Setup (One Time)
1. Configure local adapter mode
cp .env.example .env
META_KIT_MODE=mock ./scripts/meta-kit.sh doctor
2. Set account/token in .env for non-mock runs
Use official Ads CLI variables: ACCESS_TOKEN, AD_ACCOUNT_ID, and optionally BUSINESS_ID. The kit still accepts META_AD_ACCOUNT / META_SYSTEM_USER_ACCESS_TOKEN aliases for backwards compatibility. Keep secrets out of git.
Reports
The 5 Daily Questions ← Start Here
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.
- 1mo ago First seen · 234 lines · 40 tokens per session scan A 160b6cdf528a
meta-ads is a skill published in the GitHub repository TheMattBerman/meta-ads-kit (341 stars, last pushed 4mo ago), licensed MIT. It adds 40 tokens to every session and 1,824 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 2026-08-30.
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