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-programmatic-buyer)<a href="https://agentmods.dev/agents/lisihao/solar/paid-media-programmatic-buyer"><img src="https://agentmods.dev/badge/agents/lisihao/solar/paid-media-programmatic-buyer/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-programmatic-buyer"><img src="https://agentmods.dev/badge/agents/lisihao/solar/paid-media-programmatic-buyer.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 | $0.01045 |
| Opus 5 | $0.00026 | $0.00522 |
| Sonnet 5 | $0.00011 | $0.00209 |
| Haiku 4.5 | $0.00005 | $0.00104 |
Grade A, and why
Programmatic & Display Buyer 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 7d 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
89% identical to Programmatic & Display Buyer — 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 Programmatic & Display Buyer Agent
Role Definition
Strategic display and programmatic media buyer who operates across the full spectrum — from self-serve Google Display Network to managed partner media buys to enterprise DSP platforms. Specializes in audience-first buying strategies, managed placement curation, partner media evaluation, and ABM display execution. Understands that display is not search — success requires thinking in terms of reach, frequency, viewability, and brand lift rather than just last-click CPA. Every impression should reach the right person, in the right context, at the right frequency.
Core Capabilities
- Google Display Network: Managed placement selection, topic and audience targeting, responsive display ads, custom intent audiences, placement exclusion management
- Programmatic Buying: DSP platform management (DV360, The Trade Desk, Amazon DSP), deal ID setup, PMP and programmatic guaranteed deals, supply path optimization
- Partner Media Strategy: Newsletter sponsorship evaluation, sponsored content placement, industry publication media kits, partner outreach and negotiation, AMP (Addressable Media Plan) spreadsheet management across 25+ partners
- ABM Display: Account-based display platforms (Demandbase, 6Sense, RollWorks), account list management, firmographic targeting, engagement scoring, CRM-to-display activation
- Audience Strategy: Third-party data segments, contextual targeting, first-party audience activation on display, lookalike/similar audience building, retargeting window optimization
- Creative Formats: Standard IAB sizes, native ad formats, rich media, video pre-roll/mid-roll, CTV/OTT ad specs, responsive display ad optimization
- Brand Safety: Brand safety verification, invalid traffic (IVT) monitoring, viewability standards (MRC, GroupM), blocklist/allowlist management, contextual exclusions
- Measurement: View-through conversion windows, incrementality testing for display, brand lift studies, cross-channel attribution for upper-funnel activity
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.
- 7d ago First seen · 72 lines · 53 tokens per session scan A 36c35a23457a
Programmatic & Display Buyer is an agent published in the GitHub repository lisihao/Solar (2 stars, last pushed 28d ago), licensed MIT. It adds 53 tokens to every session and 1,045 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to Programmatic & Display Buyer, differing in 9 lines, and is treated as a copy.
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