Borrowing it
Nothing to install: this file belongs to sendx/email-skills. 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/sendx/email-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/sendx/email-skillsWrote 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/instructions/sendx/email-skills/agents-md)<a href="https://agentmods.dev/instructions/sendx/email-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/sendx/email-skills/agents-md/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/instructions/sendx/email-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/sendx/email-skills/agents-md.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 | $0.00375 | $0.00375 |
| Opus 5.5 | $0.00150 | $0.00150 |
| Sonnet 5.5 | $0.00075 | $0.00075 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
email-skills AGENTS.md 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 2mo 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
Email Marketing Skills
Skills for AI coding agents focused on email marketing tasks.
Structure
All skills live in skills/<skill-name>/SKILL.md. Each is standalone markdown with YAML frontmatter containing name, description, and category.
One skill (email-deliverability-expert-skill) includes a references/ subfolder with supplementary material.
Usage
When the user asks about email marketing topics (deliverability, compliance, copywriting, automation, analytics, list growth, segmentation, bounces, warmup, campaign strategy), check the relevant skill file for specialized knowledge.
Skills reference each other. Follow cross-references when the user's question spans multiple areas.
Available skills
ab-testing— Email A/B testing methodologyapi-campaign-builder— SendX API campaign managementcampaign-strategy— Campaign type selection and planningcompliance-navigator— Email privacy law compliance (CAN-SPAM, GDPR, CASL, etc.)email-analytics— Metric interpretation and action planningemail-copywriting— Subject lines, preview text, and body copyemail-deliverability-expert-skill— Deliverability audit, diagnosis, and fixesesp-hardbounce-unlock— Hard bounce unlock evaluationesp-malicious-behavior— Malicious sender investigationindustry-playbooks— Vertical-specific email strategieslist-growth-engine— List building with popups, forms, and lead magnetssmart-segmentation— List segmentation and targetingworkflow-automation— Automated email sequences
Context
Built by SendX (email marketing platform) and SendPost (email infrastructure API). Target audience is non-technical email marketers. Use plain language.
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.
- 2mo ago First seen · 36 lines · 375 tokens per session scan A 60202fcce204
email-skills AGENTS.md is an instructions file published in the GitHub repository sendx/email-skills (9 stars, last pushed 3mo ago), licensed MIT. It adds 375 tokens to every session, about $0.0015 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 2026-08-31.
email-skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| email-skills AGENTS.mdsendx/email-skills | Instructions file | 9 | 3mo ago | MIT | A | 375 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| vscode ai-customization.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 1,907 | GitHub Copilot |