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 matteotitta/genesys-skills --skill linkedin-ads-weeklygit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/linkedin-ads-weekly)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/linkedin-ads-weekly"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-ads-weekly/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/matteotitta/genesys-skills/linkedin-ads-weekly"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-ads-weekly.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 | $0.00264 | $0.02316 |
| Opus 5 | $0.00132 | $0.01158 |
| Sonnet 5 | $0.00053 | $0.00463 |
| Haiku 4.5 | $0.00026 | $0.00232 |
Grade A, and why
linkedin-ads-weekly 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 9d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Ads Weekly — optimise-and-report cycle
Reads a LinkedIn Ads account, proposes a ranked change list, applies what is approved, and drafts the weekly client update. The Google sibling is /google-ads-weekly; this is the same optimise-first-report-second discipline for LinkedIn. The report describes what changed, not just what happened.
Doctrine inherited
linkedin-ads-spend.mdgates every write. Preview before mutate, confirm before spend or delete, never auto-confirm in batch, default to DRAFT/PAUSE. Where LinkedIn Ads writes are not yet enabled (pending Advertising-API / Developer-Portal approval), Phase 3 emits an operator-applies-manually change list and the gate activates once writes land. Non-negotiable when they do.pii-redaction.mdapplies to lead-gen form data, which carries names, work emails and job titles people submitted directly.output-simplicity.mdcaps the Slack update. One screen for a senior reader, not a metrics dump.
When to use
Use it for the weekly cycle on a live LinkedIn Ads account where you hold at least read access.
Do not use it for:
- Google Ads →
/google-ads-weekly - A one-off, deep account audit →
/paid-ads-audit - The read-only week-over-week report on its own →
/paid-ads-report(this skill invokes it in Phase 4) - The standalone change journal →
/paid-ads-experiment-log(also invoked in Phase 4) - Writing or refreshing ad copy →
/linkedin-ads-copy
Inputs
| Input | Required | Notes |
|---|---|---|
| Client slug | yes | Resolves the workflow binding, e.g. ClientCo |
| Account data | yes | Either the linkedin-ads MCP read tools, or a pasted/CSV export. Both are first-class. |
| Client workflow file | recommended | {client}/workflows/linkedin-ads-weekly.md carries the account's targets, campaign split and Slack format |
| Campaign strategy | recommended | The intended structure, so the cycle can detect drift, plus the persona + awareness tiers the angle matrix reads |
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.
- 9d ago First seen · 140 lines · 264 tokens per session scan A ae2b69c3f2ca
linkedin-ads-weekly is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 264 tokens to every session and 2,316 once invoked, about $0.0013 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 2026-09-03.
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