Envault
Auditable .env secret manager featuring aggressive CLI safeguards and GitHub JIT access.
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Official AI Agent Skill for Envault Secrets Management platform. Enforces strict zero-hardcode rules, Client-Side Encryption, and Human-in-the-Loop (HITL) approval workflows.
SKILL.md
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Envault Agent Skill
This skill provides critical instructions for interacting with the Envault Secrets Management platform. Envault uses strict Client-Side Encryption and Human-in-the-Loop (HITL) approvals. As an AI agent, you must strictly adhere to the following rules when working with Envault.
1. THE ZERO-HARDCODE RULE (envault run)
Envault injects secrets directly into process memory.
- You must NEVER create, modify, or suggest creating
.envfiles. - When writing scripts or running tests that require environment variables, you must execute them using the runtime wrapper:
envault run --env <environment> -- <command>
2. THE HITL NAVIGATOR (Handling Mutations)
Envault's MCP server uses a delegated token model with active Human-in-the-Loop (HITL) safeguards.
- When you attempt to mutate a secret (e.g., using
envault_pushorenvault_deploy), the server intercepts the request and returns a202 Acceptedresponse. This response includes anapproval_idand anapproval_url. - A
202 Acceptedis NOT a failure. - You must immediately stop execution, present the approval link to the user, and wait for the user to approve it via the UI or by typing
envault approve <approval_id>in the terminal. - You must not retry the mutation automatically.
3. GIT COMPLIANCE
Envault has active safeguards regarding git tracking.
- If an
envault pullorenvault deploycommand fails because a file is already tracked in git, you must not try to force the operation. - Instead, you must:
- Execute
git rm --cached <file>to untrack the file. - Ensure the file is added to
.gitignore. - Retry the Envault command.
- Execute