pipefy-process-intelligence

pipefy-process-intelligence is a skill for Claude Code from pipefy/ai-toolkit. It costs 65 tokens per session (1,669 once invoked), scanned A, original, Apache-2.0.

A process-analysis guide for finding improvement opportunities in an existing Pipefy workflow. It examines stages, cards, automations, bottlenecks, and missing handoffs.

In plain words
What is it for?
Use it to investigate a Pipefy process, review recent cards and automations, identify bottlenecks, and apply improvements in stages.
Why use it?
It helps reveal where work is stuck, which steps are manual, and where automation or additional process support may be needed.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pipefy plugin — 19 skills, 2 commands, 1 MCP server shipped together

Good fit Use it to investigate a Pipefy process, review recent cards and automations, identify bottlenecks, and apply improvements in stages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pipefy/ai-toolkit/pipefy-process-intelligence
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-process-intelligence
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.

agentmods badge for pipefy-process-intelligence

README.md
[![agentmods](https://agentmods.dev/badge/skills/pipefy/ai-toolkit/pipefy-process-intelligence/github.svg)](https://agentmods.dev/skills/pipefy/ai-toolkit/pipefy-process-intelligence)
Your own site
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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.

agentmods 80×15 button for pipefy-process-intelligence

Your own site · 80×15
<a href="https://agentmods.dev/skills/pipefy/ai-toolkit/pipefy-process-intelligence"><img src="https://agentmods.dev/badge/skills/pipefy/ai-toolkit/pipefy-process-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,669 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 warn 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.01669
Opus 5.5 $0.00026 $0.00668
Sonnet 5.5 $0.00013 $0.00334
Haiku 4.5 $0.00006 $0.00167

Measured 11d ago against content hash 4dc3f1667e75, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pipefy-process-intelligence 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 11d 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.

skills/process-intelligence/pipefy-process-intelligence/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Process Intelligence

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

Analyze existing pipes for improvement opportunities and implement them progressively. Investigate immediately. Diagnose with data. Improve progressively.


When to use

The user asks to analyze or improve an existing process:

  • "Analyze my pipe"
  • "How can I improve this process?"
  • "Is this pipe optimized?"
  • "Where are the bottlenecks?"

Not for: designing a new process from scratch → use pipefy-process-design. Justifying a change with numbers, without implementing it → use pipefy-process-impact.


Prerequisites

  • Pipe ID or name is known (or searchable via search_pipes).
  • Read access to the pipe's cards and phase data.

Steps — investigation (Round 1)

  1. Get pipe structure:

    Operation: get_pipe pipe_id=<id>

    Capture: phases, field count per phase, automation count.

  2. Sample recent cards (last 30–50):

    Operation: get_cards pipe_id=<id> first=50 include_fields=true

    Look for: cards piling up in early phases, phases with 0 cards, fields left empty. get_cards selects no creation, update, or phase timestamps; the timed card read under the diagnosis framework does.

  3. Check automations:

    Operation: get_automations pipe_id=<id>

    Look for: phases with no automations (manual handoffs), repeated manual steps.

  4. Check AI configuration:

    Operation: get_ai_agents repo_uuid=<PIPE_UUID>

    For each active agent (disabledAt is null), read its behaviors to see which phases it already acts on:

    Operation: get_ai_agent uuid=<AGENT_UUID>

    Look for: no AI agents despite manual categorization or triage patterns, and hops an active behavior already covers (do not report those as manual).


Diagnosis framework

Time-based signals need dates that get_pipe and get_cards do not return. Per-card signals (stuck in a phase for more than 7 days, no update in weeks) come from a timed card read: one execute_graphql query on the pipe's cards selecting updated_at, current_phase_age, and phases_history (firstTimeIn, lastTimeOut, duration in seconds per phase); the document is in the reference. It is a read with no confirmation, 25 cards per page (up to 50), so say how many cards the numbers come from.

Read the full file on GitHub · 153 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.

  1. 11d ago Changed · +16 lines 4dc3f1667e75
  2. 1mo ago First seen · 137 lines · 65 tokens per session scan A 8d5b70133bf7

Subscribe to this mod's changes

pipefy-process-intelligence is a skill published in the GitHub repository pipefy/ai-toolkit (50 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 1,669 once invoked, about $0.0003 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.