AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
MCP server, CLI and REST API to give an agent a reliable email capability. Scoped keys, idempotent sends, structured errors, audit log.
Developer toolsGitHub @vaemailOnlineOwner unconfirmed
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Agent skill (SKILL.md) for VaEmail: npx skills add vaemail/skills
Translation pending
Taken from the repository README
Loading the full README.
Read the full README ↗A skill that teaches a coding agent (Claude Code, Codex, Cursor, any agent that reads Agent Skills) how to give a project outbound email through VaEmail: setup, sending domain, dry run, idempotent sending, delivery tracking, error handling, human-only steps, limits and credentials.
With the skills CLI, into the agents you use:
npx skills add vaemail/skills
By hand, for Claude Code:
mkdir -p .claude/skills/vaemail
curl -o .claude/skills/vaemail/SKILL.md https://vaemail.fr/skill.md
The skill pairs with the MCP server and CLI (npm package vaemail, zero dependencies):
claude mcp add vaemail --env VAEMAIL_API_KEY=swm_your_key -- npx -y vaemail mcp
npx vaemail init
skills/vaemail/SKILL.md
MIT.