What is pipefy-observability?

A Pipefy monitoring skill for viewing AI-agent and workflow-automation activity, usage, credits, and job history.

Use it to review execution logs, inspect individual runs, check usage and AI-credit statistics, and export automation history.

It helps you investigate what an agent or automation did, how it ran, and how much organizational usage it consumed.

pipefy-observability — Skill for Claude Code by pipefy/ai-toolkit

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add pipefy/ai-toolkit --skill pipefy-observability

Clone the repo

git clone --depth 1 https://github.com/pipefy/ai-toolkit

Made for: Claude Code.

Or install pipefy, the plugin that ships this one along with the rest of its 19 skills, 2 commands, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/pipefy/ai-toolkit/pipefy-observability/github.svg)](https://agentmods.dev/skills/pipefy/ai-toolkit/pipefy-observability)

Your own site

<a href="https://agentmods.dev/skills/pipefy/ai-toolkit/pipefy-observability"><img src="https://agentmods.dev/badge/skills/pipefy/ai-toolkit/pipefy-observability/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/pipefy/ai-toolkit/pipefy-observability"><img src="https://agentmods.dev/badge/skills/pipefy/ai-toolkit/pipefy-observability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,117 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026
Socket pass 7 Oct 2026
Snyk pass 7 Oct 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00038	$0.01117
Opus 5.5	$0.00015	$0.00447
Sonnet 5.5	$0.00008	$0.00223
Haiku 4.5	$0.00004	$0.00112

Measured 1mo ago against content hash ce9798713783, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pipefy-observability scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/pipefy/skills/pipefy-observability/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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`.

Tools

Operation	Read-only	Purpose
`get_ai_agent_logs`	Yes	Execution history for a specific AI agent.
`get_ai_agent_log_details`	Yes	Single execution detail for an AI agent log entry.
`get_automation_logs`	Yes	Execution history for an automation (by automation ID).
`get_automation_logs_by_repo`	Yes	Automation logs filtered by pipe.
`get_agents_usage`	Yes	Org-level AI agent execution count and trends.
`get_automations_usage`	Yes	Org-level automation execution stats.
`get_automation_execution_metrics`	Yes	Per-automation execution metrics over `FIFTEEN_MINUTES`, `SIXTY_MINUTES`, `TWELVE_HOURS`, or `TWENTY_FOUR_HOURS`; partial success returns `partial_errors` for denied ids.
`get_ai_credit_usage`	Yes	AI credit consumption and remaining balance.
`export_automation_jobs`	No	Trigger async export of automation job history.
`get_automation_jobs_export`	Yes	Poll export job status (after `export_automation_jobs`).
`get_automation_jobs_export_csv`	Yes	Download finished automation-jobs export as CSV text.

Read the full file on GitHub · 108 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

1mo ago Changed · +4 lines · -6 tokens per session ce9798713783
2mo ago First seen · 104 lines · 44 tokens per session scan A ae5136862e14

Subscribe to this mod's changes

pipefy-observability is a skill published in the GitHub repository pipefy/ai-toolkit (52 stars, last pushed yesterday), licensed Apache-2.0. It adds 38 tokens to every session and 1,117 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Analytics and metrics ai-toolkit cli credits exports logs mcp-server observability pipefy sdk skills usage

pipefy-observability next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
pipefy-observabilitypipefy/ai-toolkit	Skill	52	yesterday	Apache-2.0	A	38	Claude Code
wjx-survey-pptwjxcom/wjx-ai-kit	Skill	23	yesterday	MIT	A	140	Claude Code, Codex
wjx-mcp-usewjxcom/wjx-ai-kit	Skill	23	yesterday	MIT	A	113	Claude Code, Codex
excel-image-embedwjxcom/wjx-ai-kit	Skill	23	yesterday	MIT	A	110	Claude Code, Codex
qrgenidwjxcom/wjx-ai-kit	Skill	23	yesterday	MIT	A	60	Claude Code, Codex
mcp-server-chartaiagenta2z/onekey-gateway	Skill	52	7mo ago	none	A	19	Claude Code, Codex
firecrawl-mcpaiagenta2z/onekey-gateway	Skill	52	7mo ago	none	A	19	Claude Code, Codex