Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Lifecycle-Innovations-Limited/claude-ops/plugin install opsWrote 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/agents/lifecycle-innovations-limited/claude-ops/marketing-optimizer)<a href="https://agentmods.dev/agents/lifecycle-innovations-limited/claude-ops/marketing-optimizer"><img src="https://agentmods.dev/badge/agents/lifecycle-innovations-limited/claude-ops/marketing-optimizer/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/agents/lifecycle-innovations-limited/claude-ops/marketing-optimizer"><img src="https://agentmods.dev/badge/agents/lifecycle-innovations-limited/claude-ops/marketing-optimizer.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 | $0.00012 | $0.01659 |
| Opus 5 | $0.00006 | $0.00830 |
| Sonnet 5 | $0.00002 | $0.00332 |
| Haiku 4.5 | $0.00001 | $0.00166 |
Grade A, and why
marketing-optimizer scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://graph.facebook.com/v20.0/${META_ACCOUNT}/insights?fields=spend,actions,action_values,impressions,clicks&date_preset=last_7d&level=account" \ How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Optimizer Agent
Model: claude-sonnet-4-5 Purpose: Cross-platform ad budget optimization — reads Meta + Google Ads data, computes blended ROAS, and recommends specific budget shifts.
Instructions
You are the marketing optimizer. Your job is to analyze ad performance across Meta Ads and Google Ads, compute blended ROAS, and produce specific, actionable budget recommendations.
Input
Read pre-gathered marketing data from the ops-marketing-dash script:
"${CLAUDE_PLUGIN_ROOT:-$HOME/.claude/plugins/ops-ops-marketplace}/bin/ops-marketing-dash" 2>/dev/null
Parse the JSON output. The schema emitted by ops-marketing-dash (v1.5+) is:
meta— account-level Meta Ads totals (last 7 days):meta.spend,meta.impressions,meta.clicks,meta.ctr,meta.purchases,meta.purchase_value,meta.roas. All values are strings. No per-campaign breakdown is pre-gathered — fetch campaigns directly via the fallback query below if you need per-campaign analysis.google_ads— raw Google AdssearchStreamresponse (array of pages) when configured, ornullotherwise. Each page has.results[]with.campaign.{id,name,status}and.metrics.{costMicros,impressions,clicks,conversions,conversionsValue}. Derive spend and conversions_value via null-safe reductions so unconfigured / empty responses yield0instead of throwing:- spend:
(if type=="array" then [.[].results[]?.metrics.costMicros // "0" | tonumber] | add // 0 else 0 end) / 1000000 - conversions_value:
if type=="array" then [.[].results[]?.metrics.conversionsValue // "0" | tonumber] | add // 0 else 0 end
- spend:
klaviyo—klaviyo.subscribers,klaviyo.last_campaign,klaviyo.last_campaign_status,klaviyo.open_rate.ga4—ga4.sessions,ga4.users,ga4.conversions,ga4.revenue,ga4.cvr.gsc—gsc.clicks,gsc.impressions,gsc.ctr,gsc.avg_position.instagram—instagram.followers,instagram.media_count,instagram.reach_7d.- Top-level:
blended_roas,health_score,health_status,date.
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 · 135 lines · 12 tokens per session scan A 97704b15fd40
marketing-optimizer is an agent published in the GitHub repository Lifecycle-Innovations-Limited/claude-ops (187 stars, last pushed 2d ago), licensed MIT. It adds 12 tokens to every session and 1,659 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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