其他

pipefy-observability

pipefy/ai-toolkit

Use this skill when the user wants to check AI agent logs, automation execution logs, org-level usage stats, AI credit consumption, or export automation job history.

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安装命令

npx skills add https://github.com/pipefy/ai-toolkit --skill pipefy-observability

SKILL.md

Observability

Read the MCP reference or CLI reference for the surface you are using. Load only the relevant reference.

Monitor AI agent and automation execution, usage stats, credit consumption, and export job history.


Identifiers reference

Full identifier map: observability identifiers.

Concept What tools expect How to obtain
Pipe for AI agent logs repo_uuid — the pipe UUID get_pipe with numeric pipe_id; use pipe.uuid.
Automation for logs automation_id — numeric get_automations pipe_id=...
Org for usage stats organization_uuid — UUID or numeric org id get_organization returns the uuid; a numeric id also works (resolved server-side). Execution-metrics / export take numeric organization_id.

Observability

Read the MCP reference or CLI reference for the surface you are using. Load only the relevant reference.

Monitor AI agent and automation execution, usage stats, credit consumption, and export job history.


Identifiers reference

Full identifier map: observability identifiers.

Concept What tools expect How to obtain
Pipe for AI agent logs repo_uuid — the pipe UUID get_pipe with numeric pipe_id; use pipe.uuid.
Automation for logs automation_id — numeric get_automations pipe_id=...
Org for usage stats organization_uuid — UUID or numeric org id get_organization returns the uuid; a numeric id also works (resolved server-side). Execution-metrics / export take numeric organization_id.