compliance
Skill18 starsChanged 8 months agoNo licenceView on GitHub
Legal and regulatory compliance for email sending: CAN-SPAM, GDPR, CASL, and consent flows. Always load this skill when the task involves sending to recipients in the US, EU, or Canada, the legal requirements differ significantly between jurisdictions and the penalties for violations are severe. Use it for: consent collection, unsubscribe flows, GDPR data subject requests, what must appear in email footers, data retention obligations, double opt-in design, or evaluating whether a specific email practice is legally permissible. When in doubt about whether something requires consent or an opt-out, load this skill before answering.
14 other projects use a version of this.
Adopted by
Most recently taken up by
- KadirHarmanc/nazar-skilltheir own version, first seen Nov 8, 2026
- insight68/Skillstheir own version, first seen Nov 8, 2026
- kortix-ai/CompanyOStheir own version, first seen Nov 8, 2026
- anthropics/claude-for-financial-advisorstheir own version, first seen Oct 27, 2026
- kortix-ai/sunatheir own version, first seen Oct 25, 2026
- nitinjain999/platform-skillstheir own version, first seen Oct 13, 2026
Other versions14 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 14
- kortix-ai/suna★ 21ksame name
- kortix-ai/CompanyOS★ 21ksame name
- vivy-yi/xiaohongshu-skills★ 455same name
- anthropics/claude-for-financial-advisors★ 131same name
- nitinjain999/platform-skills★ 71same name
- insight68/Skills★ 5same name
- Lukasbrujula/claude-code-framework★ 4same name
- Percival-Labs/engram★ 3same name
- ffsshhttiikk/opencode-agents-skills★ 2same name
- copilot-academy/od-octocat-supply-compliance-docs★ 1same name
4 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository8 other files it gives its agents.
- authenticationSkill
- contentSkill
- email-automationSkill
- list-hygieneSkill
- marketing-campaignsSkill
- monitoringSkill
- email-skillsSkill
- transactionalSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
16 rules. 0 are common, 16 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
16
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

