granola-ci-integration
Warn
Audited by Gen Agent Trust Hub on Mar 24, 2026
Risk Level: MEDIUMCOMMAND_EXECUTIONREMOTE_CODE_EXECUTIONDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
- [COMMAND_EXECUTION]: The GitHub Actions workflow template in
references/implementation.mdis vulnerable to shell command injection. It uses${{ github.event.client_payload.date }}and${{ github.event.client_payload.title }}directly inside a shellrunblock. If an attacker controls the meeting title or date (e.g., via a malicious meeting note), they could execute arbitrary shell commands on the runner. - [REMOTE_CODE_EXECUTION]: The proposed GitHub Actions workflow uses
actions/github-script@v7with direct interpolation of untrusted data into a JavaScript string literal (JSON.parse('${{ github.event.client_payload.action_items }}')). This is a critical security vulnerability that allows an attacker to break out of the string and execute arbitrary JavaScript code within the CI environment. - [DATA_EXFILTRATION]: Because the suggested integration involves passing sensitive credentials like
{{github_token}}to Zapier and triggering repository dispatches, the aforementioned injection vulnerabilities could be used by an attacker to steal these tokens or other environment variables from the GitHub Actions secrets store. - [PROMPT_INJECTION]: The skill facilitates an Indirect Prompt Injection surface by building a pipeline that processes untrusted third-party data (Granola meeting notes) and passes it directly to sensitive execution environments.
- Ingestion points:
github.event.client_payloadin theprocess-meeting-notes.ymlworkflow defined inreferences/implementation.md. - Boundary markers: None; the external data is interpolated directly into commands and scripts without delimiters or 'ignore' instructions.
- Capability inventory: The workflow has the capability to execute shell commands (
echo,git commit), run JavaScript (github-script), and access repository secrets. - Sanitization: None; the provided templates do not include any validation, escaping, or filtering of the meeting note content before processing.
Audit Metadata