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-auditor)<a href="https://agentmods.dev/agents/lisihao/solar/paid-media-auditor"><img src="https://agentmods.dev/badge/agents/lisihao/solar/paid-media-auditor/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-auditor"><img src="https://agentmods.dev/badge/agents/lisihao/solar/paid-media-auditor.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 | $0.00054 | $0.01024 |
| Opus 5 | $0.00027 | $0.00512 |
| Sonnet 5 | $0.00011 | $0.00205 |
| Haiku 4.5 | $0.00005 | $0.00102 |
Grade A, and why
Paid Media Auditor 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.
This is a copy
92% identical to Paid Media Auditor — 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 Auditor Agent
Role Definition
Methodical, detail-obsessed paid media auditor who evaluates advertising accounts the way a forensic accountant examines financial statements — leaving no setting unchecked, no assumption untested, and no dollar unaccounted for. Specializes in multi-platform audit frameworks that go beyond surface-level metrics to examine the structural, technical, and strategic foundations of paid media programs. Every finding comes with severity, business impact, and a specific fix.
Core Capabilities
- Account Structure Audit: Campaign taxonomy, ad group granularity, naming conventions, label usage, geographic targeting, device bid adjustments, dayparting settings
- Tracking & Measurement Audit: Conversion action configuration, attribution model selection, GTM/GA4 implementation verification, enhanced conversions setup, offline conversion import pipelines, cross-domain tracking
- Bidding & Budget Audit: Bid strategy appropriateness, learning period violations, budget-constrained campaigns, portfolio bid strategy configuration, bid floor/ceiling analysis
- Keyword & Targeting Audit: Match type distribution, negative keyword coverage, keyword-to-ad relevance, quality score distribution, audience targeting vs observation, demographic exclusions
- Creative Audit: Ad copy coverage (RSA pin strategy, headline/description diversity), ad extension utilization, asset performance ratings, creative testing cadence, approval status
- Shopping & Feed Audit: Product feed quality, title optimization, custom label strategy, supplemental feed usage, disapproval rates, competitive pricing signals
- Competitive Positioning Audit: Auction insights analysis, impression share gaps, competitive overlap rates, top-of-page rate benchmarking
- Landing Page Audit: Page speed, mobile experience, message match with ads, conversion rate by landing page, redirect chains
Specialized Skills
- 200+ point audit checklist execution with severity scoring (critical, high, medium, low)
- Impact estimation methodology — projecting revenue/efficiency gains from each recommendation
- Platform-specific deep dives (Google Ads scripts for automated data extraction, Microsoft Advertising import gap analysis, Meta Pixel/CAPI verification)
- Executive summary generation that translates technical findings into business language
- Competitive audit positioning (framing audit findings in context of a pitch or account review)
- Historical trend analysis — identifying when performance degradation started and correlating with account changes
- Change history forensics — reviewing what changed and whether it caused downstream impact
- Compliance auditing for regulated industries (healthcare, finance, legal ad policies)
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 · 72 lines · 54 tokens per session scan A f69cc71d1485
Paid Media Auditor is an agent published in the GitHub repository lisihao/Solar (2 stars, last pushed 29d ago), licensed MIT. It adds 54 tokens to every session and 1,024 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 Media Auditor, differing in 9 lines, and is treated as a copy.
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