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.
npx skills add mailgun/mailgun-plugins --skill cross-domain-reportinggit clone --depth 1 https://github.com/mailgun/mailgun-pluginsWrote 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/skills/mailgun/mailgun-plugins/cross-domain-reporting)<a href="https://agentmods.dev/skills/mailgun/mailgun-plugins/cross-domain-reporting"><img src="https://agentmods.dev/badge/skills/mailgun/mailgun-plugins/cross-domain-reporting.svg" alt="Measured on agentmods" 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 | $0.00022 | $0.00365 |
| Opus 5 | $0.00011 | $0.00182 |
| Sonnet 5 | $0.00004 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
cross-domain-reporting 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.
What it actually says
Reporting Across Domains
Use this skill when the user asks to compare performance across Mailgun domains, brands, streams, or subaccounts.
Intake
Collect the domain list, region, date range, dimensions of interest, and whether the report should optimize for deliverability, engagement, infrastructure health, or executive summary.
Workflow
- Verify every requested domain is in the expected region.
- Query analytics metrics and logs using consistent filters and time windows.
- Compare delivery rate, failure rate, complaint rate, unsubscribe rate, open/click engagement, provider/device/country splits, and suppression impact when available.
- Flag domains with DNS, authentication, IP, warmup, or template differences that make the comparison unfair.
- Produce a short ranked summary and a deeper table of metrics.
Comparison Notes
- Separate transactional, marketing, and platform tenant traffic when those streams use different domains, tags, or subaccounts.
- Call out whether domains use shared IPs, dedicated IPs, or distinct IP pools.
- Normalize by send volume so one large domain does not hide smaller domains with sharper risk signals.
- Compare sender identity patterns when available, especially if many low volume senders are used under one domain.
- State data gaps clearly when tracking, provider dimensions, or suppression data are missing.
Safety
Keep reporting in analysis mode unless the user asks for remediation. If remediation is requested, create a proposed action plan first and confirm each account change before using mutating tools.
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 · 38 lines · 22 tokens per session scan A 2db774c6e3e4
cross-domain-reporting is a skill published in the GitHub repository mailgun/mailgun-plugins (1 stars, last pushed 18d ago), licensed Apache-2.0. It adds 22 tokens to every session and 365 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
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