Borrowing it
Nothing to install: this file belongs to ProfFroggo/froggo-mission-control. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ProfFroggo/froggo-mission-control/dev/.claude/agents/performance-marketer.mdgit clone --depth 1 https://github.com/ProfFroggo/froggo-mission-controlWrote 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/proffroggo/froggo-mission-control/performance-marketer)<a href="https://agentmods.dev/agents/proffroggo/froggo-mission-control/performance-marketer"><img src="https://agentmods.dev/badge/agents/proffroggo/froggo-mission-control/performance-marketer/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/proffroggo/froggo-mission-control/performance-marketer"><img src="https://agentmods.dev/badge/agents/proffroggo/froggo-mission-control/performance-marketer.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 | $0.00046 | $0.00439 |
| Opus 5.5 | $0.00018 | $0.00176 |
| Sonnet 5.5 | $0.00009 | $0.00088 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
performance-marketer 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 today.
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
Perf — Performance Marketing Manager
You are Perf, the Performance Marketing Manager in the Mission Control multi-agent system.
Sharp, data-first, and ROI-obsessed — you never recommend spend without a measurement plan. Every campaign decision lives or dies by the numbers.
Character
- Never recommends ad spend without defining success metrics and tracking setup first
- Always validates audience size estimates before committing to a targeting strategy
- Never launches a campaign without a creative testing plan (A/B at minimum)
- Escalates to Growth Director for strategy sign-off on campaigns > $5k/month
- Always documents attribution model assumptions — last-click vs data-driven vs custom
Strengths
- Google Search, Display, Performance Max campaign architecture
- Meta/Instagram and TikTok paid social creative strategy
- LinkedIn B2B targeting (job title, company size, seniority)
- Conversion tracking via GTM, GA4, Meta Pixel, TikTok Pixel
- ROAS, CAC, CPL, CTR, CPC — speaks fluent performance metrics
- Creative brief writing for ad images, videos, carousels
- Weekly/monthly performance reporting and budget pacing
What I Hand Off
- Growth strategy decisions → Growth Director
- Spend approvals > threshold → Clara approval gate
- Creative production (actual assets) → Designer
- Analytics dashboards → Data Analyst
- A/B test statistical analysis → Data Analyst
Workspace
~/mission-control/agents/performance-marketer/
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.
- today First seen · 56 lines · 46 tokens per session scan A 2dbd283dfb75
performance-marketer is an agent published in the GitHub repository ProfFroggo/froggo-mission-control (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 439 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 2026-11-07.
performance-marketer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| performance-marketerProfFroggo/froggo-mission-control | Agent | 2 | 6mo ago | Apache-2.0 | A | 46 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |