Agent skill

Shopify Admin Return Fraud Detector

by 40RTY-ai in 40RTY-ai/shopify-admin-skills

Read-only: identifies customers with abnormal return behavior — high return rate, wardrobing patterns, or serial returner profiles — for manual review.

MITAuto-check passed

Install Shopify Admin Return Fraud Detector

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-return-fraud-detector -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-return-fraud-detector --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/returns/shopify-admin-return-fraud-detector .claude/skills/shopify-admin-return-fraud-detector && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "shopify-admin-return-fraud-detector" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/returns/shopify-admin-return-fraud-detector into .claude/skills/shopify-admin-return-fraud-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-return-fraud-detector", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/returns/shopify-admin-return-fraud-detector

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-return-fraud-detector -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-return-fraud-detector --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/returns/shopify-admin-return-fraud-detector .agents/skills/shopify-admin-return-fraud-detector && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "shopify-admin-return-fraud-detector" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/returns/shopify-admin-return-fraud-detector into .agents/skills/shopify-admin-return-fraud-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-return-fraud-detector", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-return-fraud-detector -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-return-fraud-detector --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/returns/shopify-admin-return-fraud-detector .cursor/skills/shopify-admin-return-fraud-detector && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "shopify-admin-return-fraud-detector" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/returns/shopify-admin-return-fraud-detector into .cursor/skills/shopify-admin-return-fraud-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-return-fraud-detector", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/40RTY-ai/shopify-admin-skills.git --path skills/returns/shopify-admin-return-fraud-detector

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-return-fraud-detector -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-return-fraud-detector --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/returns/shopify-admin-return-fraud-detector .gemini/skills/shopify-admin-return-fraud-detector && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "shopify-admin-return-fraud-detector" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/returns/shopify-admin-return-fraud-detector into .gemini/skills/shopify-admin-return-fraud-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-return-fraud-detector", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-return-fraud-detector

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-return-fraud-detector -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/returns/shopify-admin-return-fraud-detector .github/skills/shopify-admin-return-fraud-detector && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "shopify-admin-return-fraud-detector" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/returns/shopify-admin-return-fraud-detector into .github/skills/shopify-admin-return-fraud-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-return-fraud-detector", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-return-fraud-detector -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-return-fraud-detector --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/returns/shopify-admin-return-fraud-detector .opencode/skills/shopify-admin-return-fraud-detector && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "shopify-admin-return-fraud-detector" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/returns/shopify-admin-return-fraud-detector into .opencode/skills/shopify-admin-return-fraud-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-return-fraud-detector", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: shopify-admin-return-fraud-detector
GitHub stars: 194
Token cost: ~1.9k tokens
SKILL.md length: 520 words
Files: 1
Skills in repo: 116
Repo updated: Aug 14, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Read-only: identifies customers with abnormal return behavior — high return rate, wardrobing patterns, or serial returner profiles — for manual review.

Works in 4 steps: OPERATION: orders — query → OPERATION: returns — query → OPERATION: customers — query → …
SKILL.md covers Purpose, Prerequisites, Parameters and Safety, plus 6 more sections
Calls shopify

What it does

Shopify Admin Return Fraud Detector is an agent skill from 40RTY-ai/shopify-admin-skills. Read-only: identifies customers with abnormal return behavior — high return rate, wardrobing patterns, or serial returner profiles — for manual review.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Claude Code, Cursor, Codex, Gemini CLI

It works with Shopify. The repository describes itself as: Community-maintained AI agent skills for operating Shopify stores — workflows, optimization, reports and more. The licence is MIT.

Example prompts

“/shopify-admin-return-fraud-detector”

Requirements

Compatibility (from SKILL.md): Claude Code, Cursor, Codex, Gemini CLI

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

OPERATION: orders — query
OPERATION: returns — query
OPERATION: customers — query
Per customer compute total_orders, total_returns, return_rate, wardrobing_count (returns within wardrobing_window_days of delivery where Σ…

What it can do on your machine

Read from SKILL.md and the folder at commit 6765cb4. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- shopify
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Claude Code, Cursor, Codex, Gemini CLI
From compatibility in the SKILL.md frontmatter.

Context cost

Shopify Admin Return Fraud Detector loads about 1.9k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 520 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~47
When it runs · the whole SKILL.md, loaded when a task matches: ~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from 40RTY-ai/shopify-admin-skills at commit 6765cb4, republished under its MIT licence (© 40RTY-ai). 520 words, ~1,897 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-return-fraud-detector/SKILL.md (or your agent's skills folder).

name: shopify-admin-return-fraud-detector
description: Read-only: identifies customers with abnormal return behavior — high return rate, wardrobing patterns, or serial returner profiles — for manual review.
compatibility: Claude Code, Cursor, Codex, Gemini CLI
role: returns
toolkit: shopify-admin, shopify-admin-execution
api_version: 2025-01
graphql_operations: orders:query, returns:query, customers:query
status: stable

Purpose

Surfaces customers whose return behavior deviates statistically from the store baseline so support and ops can review them before approving the next return. Three patterns are detected: (1) high return rate (≥40% of orders returned), (2) wardrobing — full-order returns shortly after delivery, (3) serial returners — many returns over time. Read-only. Output is a candidate list, not an automatic block list.

Prerequisites

Authenticated Shopify CLI session: shopify store auth --store <domain> --scopes read_orders,read_returns,read_customers
API scopes: read_orders, read_returns, read_customers

Parameters

Parameter	Type	Required	Default	Description
store	string	yes	—	Store domain (e.g., mystore.myshopify.com)
format	string	no	human	Output format: `human` or `json`
days_back	integer	no	365	Lookback window for orders and returns
min_orders	integer	no	3	Minimum lifetime orders for a customer to be evaluated (avoid penalizing one-off accidents)
return_rate_threshold	float	no	0.40	Fraction of orders returned to flag as high (default 40%)
wardrobing_window_days	integer	no	14	Window between delivery and return-initiated to flag as wardrobing
serial_threshold	integer	no	5	Minimum total returns to flag as serial returner

Safety

ℹ️ Read-only skill — no mutations are executed. Output flags candidates for human review only — never block or restrict customers automatically. False positives are common (genuine size issues, address-correction returns, etc.); investigate before action.

Workflow Steps

OPERATION: orders — query Inputs: query: "created_at:>='<NOW - days_back days>'", first: 250, select id, customer { id }, processedAt, fulfillments { deliveredAt }, totalPriceSet, lineItems { quantity }, paginate Expected output: All orders in window grouped by customer.id
OPERATION: returns — query Inputs: Same date filter, first: 250, select id, createdAt, order { customer { id } }, returnLineItems { quantity }, totalQuantity Expected output: All returns in window joined to customer
OPERATION: customers — query Inputs: For flagged candidates only: query: "id:<ids>", select identity fields and tags Expected output: Contact data for the candidates list
Per customer compute total_orders, total_returns, return_rate, wardrobing_count (returns within wardrobing_window_days of delivery where Σ return qty ≥ Σ order qty). Flag rules: high_return_rate (orders ≥ min_orders AND rate ≥ return_rate_threshold), wardrobing (count ≥ 2), serial_returner (returns ≥ serial_threshold).

Show full SKILL.md (201 more words)Show less

GraphQL Operations

graphql

# orders:query — validated against api_version 2025-01
query OrdersForReturnFraud($query: String!, $after: String) {
  orders(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        name
        processedAt
        displayFulfillmentStatus
        totalPriceSet { shopMoney { amount currencyCode } }
        customer { id }
        lineItems(first: 50) {
          edges { node { id quantity } }
        }
        fulfillments {
          deliveredAt
          status
          displayStatus
        }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}

graphql

# returns:query — validated against api_version 2025-01
query ReturnsForFraud($query: String!, $after: String) {
  returns(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        status
        createdAt
        totalQuantity
        order { id name customer { id } }
        returnLineItems(first: 50) {
          edges { node { id quantity returnReason } }
        }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}

graphql

# customers:query — validated against api_version 2025-01
query CustomerContactBatch($query: String!) {
  customers(first: 250, query: $query) {
    edges {
      node {
        id
        displayName
        firstName
        lastName
        defaultEmailAddress { emailAddress }
        phone
        numberOfOrders
        amountSpent { amount currencyCode }
        tags
      }
    }
  }
}

Session Tracking

Claude MUST emit the following output at each stage. This is mandatory.

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: Return Fraud Detector                ║
║  Store: <store domain>                       ║
║  Started: <YYYY-MM-DD HH:MM UTC>             ║
╚══════════════════════════════════════════════╝

After each step, emit:

[N/TOTAL] <QUERY|MUTATION>  <OperationName>
          → Params: <brief summary of key inputs>
          → Result: <count or outcome>

On completion, emit:

For format: human (default):

══════════════════════════════════════════════
RETURN FRAUD CANDIDATES  (<days_back> days)
  Customers evaluated:      <n>
  Flagged candidates:       <n>

  By rule:
    High return rate (≥<pct>%):  <n>
    Wardrobing pattern:           <n>
    Serial returner (≥<n>):       <n>

  Top suspects (by composite risk):
    <name>  <email>  Orders: <n>  Returns: <n>  Rate: <pct>%  Flags: <list>
  Output: return_fraud_candidates_<date>.csv
══════════════════════════════════════════════

For format: json, emit:

json

{
  "skill": "return-fraud-detector",
  "store": "<domain>",
  "period_days": 365,
  "customers_evaluated": 0,
  "flagged_candidates": 0,
  "by_rule": {
    "high_return_rate": 0,
    "wardrobing": 0,
    "serial_returner": 0
  },
  "output_file": "return_fraud_candidates_<date>.csv"
}

Output Format

CSV file return_fraud_candidates_<YYYY-MM-DD>.csv with columns: customer_id, name, email, phone, total_orders, total_returns, return_rate_pct, wardrobing_count, flags, lifetime_spend, last_return_date, tags

Error Handling

Error	Cause	Recovery
`THROTTLED`	API rate limit exceeded	Wait 2 seconds, retry up to 3 times
Customer null on order	Guest checkout	Skip — cannot link multiple orders to a guest
Return missing `order.customer`	Anonymized or deleted	Skip return
`deliveredAt` missing	Order not yet delivered	Skip wardrobing flag for the order

Best Practices

Treat output as a review queue, never an automatic action — manually validate before tagging or restricting any account.
Tune return_rate_threshold to your category baseline. Apparel stores run 20–30% return rates; flagging at 40% picks outliers. For electronics or homewares, drop to 15–20%.
Cross-reference with return-reason-analysis — if returns concentrate on one product, the issue may be product quality, not abuse.
Pair with customer-merge candidates from duplicate-customer-finder — fraudsters often create duplicate accounts to dodge return-rate flags.
Run quarterly with a 12-month window for stable signal; monthly runs produce noisy flags from new customers with one return.

Files

Just SKILL.md in skills/returns/shopify-admin-return-fraud-detector of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Return Fraud Detector next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Shopify Admin Return Fraud Detector compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Shopify Admin Return Fraud Detector this skill40RTY-ai/shopify-admin-skills	194	—	~1.9k	Automated safety check: Pass	MIT	1 mo ago
ShopifyShopify/Shopify-AI-Toolkit	592	—	~4.2k	Automated safety check: Pass	MIT	2 days ago
E-commerce Visual Copywritingfeichanggege/ecommerce-visual-copywriting-skill	867	—	~1.3k	Automated safety check: Pass	MIT	23 days ago
Reviewing Pull RequestsShopify/shopify-app-js	541	—	~1.9k	Automated safety check: Pass	MIT	yesterday
Better Designmarvkr/better-design	254	—	~1.2k	Automated safety check: Pass	MIT	17 days ago
Liquid Theme A11ybenjaminsehl/liquid-skills	120	—	~3.2k	Automated safety check: Pass	None	2 mo ago

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Works with

Shopify

Questions about Shopify Admin Return Fraud Detector

What does Shopify Admin Return Fraud Detector do?

Read-only: identifies customers with abnormal return behavior — high return rate, wardrobing patterns, or serial returner profiles — for manual review. Shopify Admin Return Fraud Detector is an agent skill from 40RTY-ai/shopify-admin-skills. Read-only: identifies customers with abnormal return behavior — high return rate, wardrobing patterns, or serial returner profiles — for manual review.

How do I install Shopify Admin Return Fraud Detector in Claude Code?

Run `npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-return-fraud-detector -a claude-code`. Or copy the skill folder (skills/returns/shopify-admin-return-fraud-detector in 40RTY-ai/shopify-admin-skills) into .claude/skills/shopify-admin-return-fraud-detector in your project. Claude Code loads it when a task matches its description.

How do I install Shopify Admin Return Fraud Detector in Codex?

Run `npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-return-fraud-detector -a codex`. Or copy the skill folder (skills/returns/shopify-admin-return-fraud-detector in 40RTY-ai/shopify-admin-skills) into .agents/skills/shopify-admin-return-fraud-detector in your project. Codex loads it when a task matches its description.

Can I use Shopify Admin Return Fraud Detector in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-return-fraud-detector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shopify-admin-return-fraud-detector, .gemini/skills/shopify-admin-return-fraud-detector, .github/skills/shopify-admin-return-fraud-detector and .opencode/skills/shopify-admin-return-fraud-detector in your project.

What does Shopify Admin Return Fraud Detector need to run?

Going by SKILL.md and its folder, Shopify Admin Return Fraud Detector needs the command-line tools its instructions call (shopify). Compatibility (from SKILL.md): Claude Code, Cursor, Codex, Gemini CLI.

Does Shopify Admin Return Fraud Detector access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Shopify Admin Return Fraud Detector safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Shopify Admin Return Fraud Detector use?

Shopify Admin Return Fraud Detector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Shopify Admin Return Fraud Detector use?

About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Shopify Admin Return Fraud Detector?

Skills that share tags, products or a category with Shopify Admin Return Fraud Detector: Shopify (Shopify/Shopify-AI-Toolkit, 592 stars), E-commerce Visual Copywriting (feichanggege/ecommerce-visual-copywriting-skill, 867 stars), Reviewing Pull Requests (Shopify/shopify-app-js, 541 stars) and Better Design (marvkr/better-design, 254 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shopify Admin Return Fraud Detector?

40RTY-ai (a GitHub organization) maintains it in 40RTY-ai/shopify-admin-skills, which has 194 GitHub stars. The repository holds 116 skills in this directory. The repository was last updated on August 14, 2026.

Source: 40RTY-ai/shopify-admin-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Shopify Admin Return Fraud Detector

Facts

At a glance

What it does

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Compatibility

Context cost

Safety

SKILL.md

Purpose

Prerequisites

Parameters

Safety

Workflow Steps

GraphQL Operations

Session Tracking

Output Format

Error Handling

Best Practices

Files

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