graflow: Skill for Claude Code

.claude/skills/graflow-workflow/SKILL.md

graflow-workflow is a skill for Claude Code from GraflowAI/graflow. It costs 73 tokens per session (1,422 once invoked), scanned A, original, Apache-2.0.

A structured way to build Python workflows with Graflow, a framework for connecting tasks into executable graphs. It uses three phases: planning, implementation, and review.

In plain words
What is it for?
Use it to design task graphs, automation pipelines, parallel processing, or AI workflows in Python. It produces a design document and then guides implementation and review.
Why use it?
It turns a complex pipeline into explicit tasks, dependencies, data flows, and error-handling decisions before code is written. This helps clarify which work is sequential, parallel, conditional, or connected to an AI model.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is GraflowAI/graflow's own configuration. It tells Claude Code how to work on graflow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything graflow configures →

Reuse

Borrowing it

Nothing to install: this file belongs to GraflowAI/graflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/GraflowAI/graflow/main/.claude/skills/graflow-workflow/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/GraflowAI/graflow

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,422 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
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 $0.00073 $0.01422
Opus 5.5 $0.00029 $0.00569
Sonnet 5.5 $0.00015 $0.00284
Haiku 4.5 $0.00007 $0.00142

Measured 2mo ago against content hash 405e8148f6a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

graflow-workflow 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 2mo 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.

.claude/skills/graflow-workflow/SKILL.md · 226 lines

How it starts

The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Graflow Workflow Builder

Build executable task graphs in Python using a structured 3-phase approach.

Workflow: Plan -> Implement -> Review

Phase 1: Plan

Goal: Clarify requirements, create a design document, and get user approval through iterative feedback.

Steps:

Step 1: Requirements Gathering

Ask the user clarifying questions about the workflow:

  • What is the workflow's purpose?
  • What are the input sources and output destinations?
  • Which tasks need to run sequentially vs. in parallel?
  • Is LLM integration needed?
  • Are there any dynamic/conditional branching requirements?
Step 2: Create Design Document

Create a design document (workflow_design.md) with:

  • Workflow overview and purpose
  • Task definitions (name, responsibility, inputs/outputs)
  • Task graph structure (ASCII diagram)
  • Channel data flow
  • Error handling strategy

Design Document Template:

# Workflow Design: {workflow_name}

## Overview
{Brief description of what this workflow accomplishes}

## Tasks

| Task ID | Responsibility | Inputs | Outputs |
|---------|---------------|--------|---------|
| task_a  | ...           | ...    | ...     |

## Task Graph

source >> (transform_a | transform_b) >> sink


## Channel Data Flow
- `config`: Set by setup, used by all tasks
- `results`: Accumulated by each task

## Error Handling
- {Strategy: fail-fast, best-effort, retry, etc.}
Step 3: Present Design to User

Present the design document to the user with a clear summary:

  • Show the task graph diagram
  • Highlight key design decisions
  • Ask explicitly: "Does this design meet your requirements? Please provide feedback if any changes are needed."
Step 4: Iterate on Feedback

If the user provides feedback:

  1. Update workflow_design.md with the requested changes
  2. Summarize the changes made
  3. Re-present the updated design
  4. Repeat until the user is satisfied
Step 5: Confirm Design Approval

Before proceeding to implementation:

  • Ask the user to confirm: "Is this design approved? If yes, I'll proceed to implementation."
  • Only move to Phase 2 after explicit approval

Read the full file on GitHub · 226 lines

Files

What ships with it

3 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. 2mo ago First seen · 226 lines · 73 tokens per session scan A 405e8148f6a5

Subscribe to this mod's changes

graflow-workflow is a skill published in the GitHub repository GraflowAI/graflow (41 stars, last pushed 13d ago), licensed Apache-2.0. It adds 73 tokens to every session and 1,422 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.

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