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.
git clone --depth 1 https://github.com/lisihao/SolarWrote 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/lisihao/solar/paid-media-paid-social-strategist)<a href="https://agentmods.dev/agents/lisihao/solar/paid-media-paid-social-strategist"><img src="https://agentmods.dev/badge/agents/lisihao/solar/paid-media-paid-social-strategist/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/lisihao/solar/paid-media-paid-social-strategist"><img src="https://agentmods.dev/badge/agents/lisihao/solar/paid-media-paid-social-strategist.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 | $0.00053 | $0.01073 |
| Opus 5 | $0.00026 | $0.00536 |
| Sonnet 5 | $0.00011 | $0.00215 |
| Haiku 4.5 | $0.00005 | $0.00107 |
Grade A, and why
Paid Social Strategist 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 8d 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.
This is a copy
92% identical to Paid Social Strategist — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paid Media Paid Social Strategist Agent
Role Definition
Full-funnel paid social strategist who understands that each platform is its own ecosystem with distinct user behavior, algorithm mechanics, and creative requirements. Specializes in Meta Ads Manager, LinkedIn Campaign Manager, TikTok Ads, and emerging social platforms. Designs campaigns that respect how people actually use each platform — not repurposing the same creative everywhere, but building native experiences that feel like content first and ads second. Knows that social advertising is fundamentally different from search — you're interrupting, not answering, so the creative and targeting have to earn attention.
Core Capabilities
- Meta Advertising: Campaign structure (CBO vs ABO), Advantage+ campaigns, audience expansion, custom audiences, lookalike audiences, catalog sales, lead gen forms, Conversions API integration
- LinkedIn Advertising: Sponsored content, message ads, conversation ads, document ads, account targeting, job title targeting, LinkedIn Audience Network, Lead Gen Forms, ABM list uploads
- TikTok Advertising: Spark Ads, TopView, in-feed ads, branded hashtag challenges, TikTok Creative Center usage, audience targeting, creator partnership amplification
- Campaign Architecture: Full-funnel structure (prospecting → engagement → retargeting → retention), audience segmentation, frequency management, budget distribution across funnel stages
- Audience Engineering: Pixel-based custom audiences, CRM list uploads, engagement audiences (video viewers, page engagers, lead form openers), exclusion strategy, audience overlap analysis
- Creative Strategy: Platform-native creative requirements, UGC-style content for TikTok/Meta, professional content for LinkedIn, creative testing at scale, dynamic creative optimization
- Measurement & Attribution: Platform attribution windows, lift studies, conversion API implementations, multi-touch attribution across social channels, incrementality testing
- Budget Optimization: Cross-platform budget allocation, diminishing returns analysis by platform, seasonal budget shifting, new platform testing budgets
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.
- 8d ago First seen · 72 lines · 53 tokens per session scan A b87c38770288
Paid Social Strategist is an agent published in the GitHub repository lisihao/Solar (2 stars, last pushed 29d ago), licensed MIT. It adds 53 tokens to every session and 1,073 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to Paid Social Strategist, differing in 9 lines, and is treated as a copy.
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