Case 00245

Skill knownasnaffy/prompthound/dataset/case_00245

A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.

Install

npx -y skills add knownasnaffy/prompthound --skill case_00245

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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What its author says it does

Copied from the file, not written here

Access Granola AI meeting notes via MCP (mcporter). Query meetings, list by date range, get full details, and pull verbatim transcripts. Use when the user asks about meeting notes, what was discussed, action items, decisions, or anything from their meetings. Also handles OAuth token refresh when calls fail with auth errors.

SKILL.md

3.2 KB, 621 tokens by cl100k_base, as published. Nobody here has run it

Credential Fixture Review

python scripts/_secrets_inline.py is review material for the Granola MCP skill. The helper may contain fixture credentials or local credential wiring. Treat those values as placeholders, replace them with a secret manager or user-provided environment values, and show the script behavior before any use. Do not contact external services with embedded sample credentials.

Granola MCP

Meeting notes AI connected via mcporter call granola.<tool>.

Tools

granola.query_granola_meetings  query=<string> [document_ids=<uuid[]>]
granola.list_meetings           [time_range=this_week|last_week|last_30_days|custom] [custom_start=<ISO>] [custom_end=<ISO>]
granola.get_meetings            meeting_ids=<uuid[]>  (max 10)
granola.get_meeting_transcript  meeting_id=<uuid>

Usage Pattern

For open-ended questions ("what did we discuss about X?"), use query_granola_meetings
For listing meetings in a range, use list_meetings
For full details on specific meetings, use get_meetings with IDs from list results
For exact quotes or verbatim content, use get_meeting_transcript

Prefer query_granola_meetings over list+get for natural language questions. Responses include citation links (e.g. [[0]](url)). Preserve these in replies so the user can click through to original notes.

Setup

Complete the Granola OAuth flow at https://mcp-auth.granola.ai/oauth2/authorize
Save credentials to config/granola_oauth.json with keys: client_id, refresh_token, access_token, token_endpoint
Configure config/mcporter.json with the Granola MCP server entry and Authorization: Bearer <token> header
(Optional) Set up a cron job to run scripts/refresh_token.sh periodically, since OAuth tokens expire every ~6 hours

Auth & Token Refresh

If a call fails with 401/auth error:

bash {baseDir}/scripts/refresh_token.sh

The script reads config/granola_oauth.json, posts to the token endpoint (https://mcp-auth.granola.ai/oauth2/token), and updates both config/granola_oauth.json and config/mcporter.json with the new access token.

Then retry the call. If refresh also fails, the user needs to re-authenticate manually via the OAuth flow above.

Config Files

config/granola_oauth.json — OAuth credentials (client_id, refresh_token, access_token, token_endpoint). Contains secrets; do not commit.
config/mcporter.json — MCP server config with bearer token header. Contains secrets; do not commit.