Agent skill

Workflow Automator

by LeoYeAI in LeoYeAI/openclaw-master-skills

Automate repeatable workflows with WhatsApp/Telegram notifications, Excel/CSV processing, browser automation, and flexible scheduling.

MITAuto-check passedProductivity & Automation

Install Workflow Automator

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill workflow-automator -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills workflow-automator --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw-workflow-automator .claude/skills/workflow-automator && 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/

Facts

Skill name
workflow-automator
GitHub stars
2.2k
Token cost
~4.7k tokens
SKILL.md length
2,231 words
Files
15 (incl. scripts, references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Automate repeatable workflows with WhatsApp/Telegram notifications, Excel/CSV processing, browser automation, and flexible scheduling.

  • Works in 9 steps: You describe the workflow in plain English → I break it into steps and classify each… → I ask about scheduling → …
  • The user wants to automate multi-step tasks
  • SKILL.md covers How It Works, Step Classification, Decomposition Rules and Scheduling System, plus 4 more sections
  • Runs Shell scripts from its folder

What it does

Workflow Automator is an agent skill from LeoYeAI/openclaw-master-skills. Automate repeatable workflows with WhatsApp/Telegram notifications, Excel/CSV processing, browser automation, and flexible scheduling. Describe tasks in plain English — the agent decomposes, executes, and schedules them. Use when the user wants to automate multi-step tasks, schedule recurring workflows, extract data from websites, process files, or send reports to messaging channels.

Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `_meta.json`, `references/browser-guide.md` and `references/scheduling-guide.md`).

It sits in Productivity & Automation, covering Browser automation, CSV and tabular files and Excel spreadsheets. It works with Telegram, WhatsApp, Microsoft Excel and Slack. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • The user wants to automate multi-step tasks
  • Schedule recurring workflows
  • Extract data from websites
  • Send reports to messaging channels

Example prompts

  • “/workflow-automator”

Requirements

  • A Bash shell

Workflow steps

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

  1. You describe the workflow in plain English
  2. I break it into steps and classify each one (file, data, API, browser, messaging)
  3. I ask about scheduling
  4. I show you the full plan with schedule and notification settings
  5. You approve, edit, or reject
  6. First run: I execute step by step with your approval
  7. If scheduled: subsequent runs are autonomous — no approval needed
  8. After each run, I message you the results on WhatsApp/Telegram/Slack
  9. On any failure: I alert you immediately on your preferred channel

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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

    Ships 11 files in scripts/ (Shell), which the agent can run.

    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.

Context cost

Workflow Automator loads about 4.7k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 2,231 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~101
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.9k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,231 words, ~4,713 tokens.

Download SKILL.mdSave it as .claude/skills/workflow-automator/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.
name
workflow-automator
description
Automate repeatable workflows with WhatsApp/Telegram notifications, Excel/CSV processing, browser automation, and flexible scheduling. Describe tasks in plain English — the agent decomposes, executes, and schedules them. Use when the user wants to automate multi-step tasks, schedule recurring workflows, extract data from websites, process files, or send reports to messaging channels.
version
2.0.6

Workflow Automator

Send reports to WhatsApp. Alert your team on Telegram. Process Excel files. Scrape websites. Schedule it all to run automatically. Describe what you want in plain English — I handle the rest.

What I can do:

  • Send messages and reports to WhatsApp, Telegram, Slack, Discord, email
  • Read, process, and transform Excel/CSV/JSON files
  • Open Chrome, navigate websites, extract data, fill forms, take screenshots
  • Run workflows on any schedule — once, daily, weekly, monthly, or custom
  • Alert you immediately on your preferred channel when something fails

You describe it once. I run it forever.

How It Works

  1. You describe the workflow in plain English
  2. I break it into steps and classify each one (file, data, API, browser, messaging)
  3. I ask about scheduling:
    • "Run this right now?"
    • "Run on a schedule? When?"
    • "Trigger from an external event?"
  4. I show you the full plan with schedule and notification settings
  5. You approve, edit, or reject
  6. First run: I execute step by step with your approval
  7. If scheduled: subsequent runs are autonomous — no approval needed
  8. After each run, I message you the results on WhatsApp/Telegram/Slack
  9. On any failure: I alert you immediately on your preferred channel

Step Classification

When I decompose your workflow, each step gets classified:

TypeWhat I UseExamples
file-readcat, head, tail, less"Read the CSV"
file-writetee, redirect (>)"Save results to output.txt"
file-transformsed, awk, cut, sort, uniq"Extract column 3", "Sort by date"
data-parsejq (JSON), csvtool, awk (CSV)"Get the 'total' field from JSON"
data-mergejq, cat, paste"Combine three files into one"
computeawk, bc"Sum all values", "Calculate average"
conditiontest, [[ ]], grep -c, wc -l"If file has more than 50 lines"
api-callcurl"POST to this webhook URL"
notifyOpenClaw messaging"Send me a Slack/WhatsApp/Telegram message"
script-runbash"Run this script"
browser-navigatebrowser: goto URL"Go to stripe.com/dashboard"
browser-clickbrowser: click element"Click the Download button"
browser-fillbrowser: type into field"Enter my username"
browser-extractbrowser: read page content"Get the invoice total"
browser-screenshotbrowser: capture page"Take a screenshot of the report"
browser-waitbrowser: wait for element"Wait for the table to load"
schedule-setcron"Run this every Monday at 8am"
schedule-oncecron (one-time)"Run this tomorrow at 3pm"
webhook-listenwebhook"Trigger when Stripe sends a payment event"

Decomposition Rules

When I break down your workflow, I follow these rules strictly:

Each step must be atomic

One action, one output. "Open page and click download" becomes two steps.

Each step must specify input and output
  • Input: Where does the data come from? (file path, previous step output, URL, user-provided value)
  • Output: Where does the result go? (file path, variable for next step, message channel, screenshot path)
Steps must be independently verifiable

After each step, I show you the output so you can confirm it's correct.

When in doubt, I ask

If your description is ambiguous, I ask a specific clarifying question. I never guess what you meant.

Unsupported operations are stated honestly

If a step requires a tool I don't have yet, I tell you plainly and suggest an alternative when possible.

Scheduling System

Schedule Types
  • Run now: Execute immediately, no schedule saved
  • Run once at a specific time: "Tomorrow at 9am", "March 25 at 3pm" I convert this to a one-shot scheduled job using OpenClaw's scheduling
  • Recurring: "Every Monday at 8am", "Daily at midnight", "First of every month at 10am", "Every 6 hours" I convert natural language to a cron expression
  • Conditional recurring: "Every Monday, but skip holidays" I add a condition-check step at the start of the workflow
Schedule Guardrails
  • Ambiguous schedules: If you say "run this sometimes" or don't specify when, I ask: "When should this run? Options: right now, at a specific time, or on a recurring schedule."
  • Aggressive schedules: If you request very frequent intervals (every minute, every 2 minutes), I warn you about resource consumption and suggest alternatives (every 15 minutes, every hour) before proceeding.
  • High-risk sites: I refuse to automate banking sites, financial portals, or sites where automated access could compromise your account security. I explain why and suggest API alternatives when available.
Schedule Management

You can manage schedules conversationally:

  • "What workflows are scheduled?" — I list all active schedules
  • "Pause the Monday report" — I disable the cron without deleting it
  • "Resume the Monday report" — I re-enable it
  • "Change the Monday report to Tuesday at 9am" — I update the cron
  • "Cancel the daily check" — I remove the cron entirely
  • "Run the Monday report right now" — I execute immediately; schedule stays unchanged
Schedule Storage

Schedules are stored in ~/.openclaw/workflow-automator/schedules/. Each schedule is a JSON file containing:

json
{
  "workflow_name": "Monday Report",
  "cron_expression": "0 8 * * 1",
  "steps": [ ... ],
  "last_run": "2026-03-17T08:00:00Z",
  "next_run": "2026-03-24T08:00:00Z",
  "status": "active",
  "notification_channel": "telegram",
  "created_at": "2026-03-10T14:30:00Z",
  "updated_at": "2026-03-10T14:30:00Z"
}

I read this directory to answer "what's scheduled?" and to manage your workflows.

See references/scheduling-guide.md for cron syntax details and schedule patterns.

Browser Automation Rules

Before browser steps
  • I describe what I will do: "I'm going to open Chrome, navigate to stripe.com, and look for the latest invoice"
  • First run requires your explicit approval for each browser step
  • I warn you if a site will require login credentials
Credential handling
  • I NEVER store passwords in the skill, scripts, or schedule files
  • I ask you to enter credentials interactively on the first run
  • For scheduled runs: I use browser profiles that persist login sessions (OpenClaw's managed Chrome supports this)
  • If a session expires during a scheduled run: I message you — "Your Stripe session expired. Please re-authenticate. I've paused this workflow until you do."
Browser safety
  • I will not navigate to sites you haven't explicitly named
  • I will not fill payment forms or authorize transactions
  • I will not interact with CAPTCHA (I tell you if one appears)
  • I take a screenshot before and after critical browser actions (stored in ~/.openclaw/workflow-automator/screenshots/)
  • During autonomous scheduled runs, browser-navigate steps are restricted to domains listed in the plan's allowed_sites array. If allowed_sites is not set, I warn but don't block (backwards compatible).

See references/browser-guide.md for detailed browser automation patterns.

Error Handling and Notifications

On error during scheduled run
  1. Stop the workflow at the failing step
  2. Capture: error message, step number, screenshot (if browser step)
  3. Immediately message you on your preferred channel: "⚠️ Workflow 'Monday Report' failed at Step 3 (browser-extract). Error: Element not found. Screenshot attached. Reply 'retry' to try again or 'skip' to continue from Step 4."
  4. Wait for your response before proceeding
  5. If no response within the configured timeout: mark as failed and log it
Retry logic
  • Transient failures (network timeout, page load timeout): auto-retry up to 3 times with exponential backoff (5s, 15s, 45s)
  • Permanent failures (element not found, auth expired): alert you immediately
  • I distinguish between transient and permanent failures automatically
Notification channels
  • You set your preferred channel during workflow setup
  • You can set escalation: "Try Slack first, then WhatsApp if no response in 10 minutes"

Execution Rules

Before execution
  • I show you the EXACT command or browser action I'm about to run
  • I wait for your explicit "yes" / "go" / "approved" before running anything
  • I NEVER execute without your approval on the first run
Show full SKILL.md (1,070 more words)Show less
First run vs scheduled runs
  • First run of any workflow: human approval per step (always)
  • Subsequent scheduled runs: autonomous (no approval needed)
  • You can switch any workflow back to "approval mode" anytime
  • Plan integrity: When a plan is approved, its SHA-256 hash is recorded. Autonomous runs verify the hash before execution. If the plan file has been modified since approval, execution is blocked and you are alerted.
  • Approval expiry: Plan approvals expire after a configurable TTL (default 30 days). Expired approvals must be renewed to continue autonomous execution. This forces periodic review of running workflows.
  • Run budgets: Approvals can set a max number of autonomous runs. Once exhausted, the workflow pauses until re-approved.
  • Audit log: Every execution (interactive and autonomous) is recorded in an append-only audit log at ~/.openclaw/workflow-automator/audit.log. Use audit-log.sh read --failures to review failed runs or audit-log.sh stats for a summary.
  • Session age guard: Before autonomous browser steps, the session age is checked. Sessions older than a configurable max (default 7 days) are blocked, and the user is asked to re-authenticate. Set max_session_age_days in the plan to override.
  • Per-workflow browser isolation: Each workflow gets its own browser profile directory under ~/.openclaw/workflow-automator/sessions/. One workflow's cookies cannot leak to another.
  • Post-run session cleanup: Plans can declare "clear_session": true to wipe browser cookies/localStorage after the last step completes. Use for one-time tasks that should not leave a logged-in session behind.
  • Restricted command mode: Plans can declare "restricted_mode": true. In this mode, only commands listed in allowed_commands can run (warnings become hard blocks), and inline interpreter execution (e.g. inline scripting language execution) is forbidden.
  • Encoding detection: validate-plan.sh flags commands containing obfuscation patterns: base64, eval, exec, hex escapes (\x).
  • Risk scoring: Every plan receives a risk score (LOW/MEDIUM/HIGH) based on shell commands, browser steps, and file writes. High-risk plans require --force to approve immediately.
  • Approval summary: When approving a plan, a detailed summary is shown: number of shell commands, browser actions, file writes, URLs accessed, and risk score. Forces the reviewer to see exactly what they're approving.
  • Runtime command validation: Every command is validated at execution time in BOTH interactive and autonomous modes. Destructive patterns are always hard-blocked. In autonomous mode, exfiltration and encoding patterns are also hard-blocked. In interactive mode, dangerous patterns trigger a secondary confirmation prompt — the user must type CONFIRM to proceed, ensuring they explicitly acknowledge the risk rather than rubber-stamping through a generic approval.
  • Hardened file permissions: Session directories, approval records, and browser profiles are set to owner-only access (chmod 700/600). Other users on the system cannot read session cookies or approval data.
  • Auto-expiry of stale sessions: The cron heartbeat (check-schedules.sh) automatically wipes browser sessions older than 7 days. Stale cookies don't accumulate on disk indefinitely.
  • Data inventory and purge: data-inventory.sh show displays all persistent data with disk usage, permissions, and sensitivity levels. data-inventory.sh purge <category> deletes data by category. data-inventory.sh purge-workflow <name> removes all traces of a workflow.
  • Sensitive site blocking: validate-plan.sh blocks browser automation of financial, banking, payment, and investment sites (Chase, PayPal, Coinbase, etc.). These sites cannot be automated even with approval.
During execution
  • Each step runs with a 60-second timeout (browser steps: 120 seconds)
  • I capture all output (stdout, stderr, screenshots)
  • I show you the results immediately after each step
After each step
  • I show: what ran, what it produced, whether it succeeded or failed
  • On first run: "Continue to next step?" before proceeding
  • On scheduled run: proceed automatically unless an error occurs
Logging

All runs are logged to ~/.openclaw/workflow-automator/runs/

Safety

I will refuse to execute commands that:

  • Delete system files or recursive force-delete (rm -rf /)
  • Format disks or overwrite block devices
  • Escalate privileges without explicit intent
  • Modify system configuration files

Plan Format

When I present your workflow plan, it looks like this:

WORKFLOW PLAN: [Your description]
SCHEDULE: Every Monday at 8:00 AM CST (cron: 0 8 * * 1)
NOTIFY: Telegram on completion, WhatsApp on failure
ALLOWED SITES: stripe.com, docs.google.com (browser scope)
═══════════════════════════════════════════════

Step 1 of N: [Description]
  Type:   [step type from classification table]
  Input:  [source]
  Output: [destination]
  Command: [exact command or browser action]

Step 2 of N: [Description]
  Type:   [step type]
  Input:  [source — may reference Step 1 output]
  Output: [destination]
  Command: [exact command or browser action]

...

APPROVE this plan and schedule? (yes / edit / reject)

Execution Output Format

After each step executes:

STEP 1 of N: [Description]
─────────────────────────
Command:  [what ran]
Status:   SUCCESS (exit code 0) | FAILED (exit code N)
Duration: [seconds]

Output:
  [stdout, truncated to 50 lines — full output saved to log]

Errors:
  [stderr, if any]

→ Continue to Step 2? (yes / no / retry)

Completion Summary

After all steps finish:

WORKFLOW COMPLETE: [Name]
═════════════════════════
Total steps:  N
Passed:       N
Failed:       N
Duration:     [total time]

Files created/modified:
  - [list of output files]

Schedule: Next run Monday March 24 at 8:00 AM CST
Notification: Results will be sent to Telegram

Status: Workflow completed successfully.

Conditional Workflows

If your workflow has branches ("if X then Y, else Z"), I handle it like this:

Step 3 of N: Check condition
  Type:   condition
  Input:  [what to check]
  Check:  [the condition]
  If TRUE  → proceed to Step 4a
  If FALSE → proceed to Step 4b

Step 4a: [Action if true]
  ...

Step 4b: [Action if false]
  ...

Step 5: [Continues from whichever branch executed]

I show you which branch was taken and why.

What I Can Do (Phase 2)

  • Read, write, transform, merge any local files
  • Parse JSON (via jq) and CSV (via awk/csvtool)
  • Run shell commands and scripts
  • Call APIs via curl
  • Send you results on any messaging channel OpenClaw supports
  • Handle conditional logic (if/then/else)
  • Chain steps together with data flowing between them
  • Open Chrome and navigate websites
  • Log into web apps (using saved browser sessions)
  • Extract data from web pages
  • Take screenshots
  • Run workflows on any schedule (one-time or recurring)
  • Manage schedules conversationally (list, pause, resume, change, cancel)
  • Alert you on any channel when something fails
  • Retry transient failures automatically

What I Cannot Do Yet

  • Undo completed steps — No rollback mechanism yet (coming in Phase 3)
  • Pre-built workflow templates — Coming in Phase 3
  • Full audit log with search — Coming in Phase 3
  • Multi-channel escalation chains — Coming in Phase 3

Platform Requirements

Required binaries

This skill requires the following tools in the runtime environment: bash, jq, shasum (or sha256sum), date, grep, sed, awk, mktemp, curl, bc. Optional: timeout/gtimeout (for step timeouts), wkhtmltopdf (for PDF invoice generation).

Run check-environment.sh --verbose to verify your environment before first use. The preflight check runs automatically on each workflow execution and caches the result for one hour.

Runtime dependencies

This skill depends on the OpenClaw runtime for the following:

  • Messaging delivery: notify.sh outputs structured JSON describing the notification (channel, message, urgency). The OpenClaw agent runtime is responsible for delivering to WhatsApp/Telegram/Slack/email using platform-managed credentials. This skill does NOT store or request messaging API tokens.
  • Cron invocation: check-schedules.sh must be called by an external cron mechanism (OpenClaw's cron system or system crontab). This skill manages schedule JSON files but does not install crontab entries itself.
  • Browser profile management: Chrome instances and persistent login sessions are managed by the OpenClaw platform. This skill emits browser action JSON instructions; the platform drives the actual CDP session.
Credential and data storage disclosure

All credentials and data paths are declared in the SKILL.md frontmatter (platform_credentials, user_credentials, data_directories).

  • This skill does NOT store API tokens or passwords in files or logs.
  • Browser sessions (cookies/localStorage) persist on disk at ~/.openclaw/workflow-automator/sessions/ with owner-only permissions (chmod 700) and auto-expire after 7 days.
  • Approval records are stored with owner-only permissions (chmod 700).
  • No credentials are embedded in workflow plans or schedule files.

Tips for Best Results

  • Be specific about file paths, output files, messaging channels, and website URLs
  • State your schedule clearly: "Every Monday at 8am" not "regularly"
  • Break big workflows into pieces: start with the first 5 steps

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 14 other files (scripts, references) in skills/openclaw-workflow-automator of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json
  • references/browser-guide.md
  • references/scheduling-guide.md
  • scripts/audit-log.sh
  • scripts/check-environment.sh
  • scripts/check-schedules.sh
  • scripts/data-inventory.sh
  • scripts/execute-step.sh
  • scripts/manage-schedule.sh
  • scripts/notify.sh
  • scripts/plan-approval.sh
  • scripts/session-guard.sh
  • scripts/summarize-run.sh
  • scripts/validate-plan.sh

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Workflow Automator 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.

Workflow Automator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Workflow Automator this skillLeoYeAI/openclaw-master-skills2.2k—~4.7kAutomated safety check: PassMIT
Regression Modelerzebbern/claude-code-guide4.7k—~909Automated safety check: PassMIT
Screaming Frog Toolgarrettjsmith/localseoskills120—~2kAutomated safety check: PassMIT
Openclaw Rpalaziobird/openclaw-rpa229—~2.4kAutomated safety check: PassApache-2.0
Ak Dev New Messaging Integrationyaalalabs/agent-kernel192—~4.6kAutomated safety check: PassApache-2.0
Ak Add Integrationyaalalabs/agent-kernel192—~3.1kAutomated safety check: PassApache-2.0

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Questions about Workflow Automator

What does Workflow Automator do?

Automate repeatable workflows with WhatsApp/Telegram notifications, Excel/CSV processing, browser automation, and flexible scheduling. Workflow Automator is an agent skill from LeoYeAI/openclaw-master-skills. Automate repeatable workflows with WhatsApp/Telegram notifications, Excel/CSV processing, browser automation, and flexible scheduling.

When should I use Workflow Automator?

Workflow Automator fits situations like: the user wants to automate multi-step tasks; schedule recurring workflows; extract data from websites; send reports to messaging channels.

How do I install Workflow Automator in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill workflow-automator -a claude-code`. Or copy the skill folder (skills/openclaw-workflow-automator in LeoYeAI/openclaw-master-skills) into .claude/skills/workflow-automator in your project. Claude Code loads it when a task matches its description.

How do I install Workflow Automator in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill workflow-automator -a codex`. Or copy the skill folder (skills/openclaw-workflow-automator in LeoYeAI/openclaw-master-skills) into .agents/skills/workflow-automator in your project. Codex loads it when a task matches its description.

Can I use Workflow Automator 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 LeoYeAI/openclaw-master-skills --skill workflow-automator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workflow-automator, .gemini/skills/workflow-automator, .github/skills/workflow-automator and .opencode/skills/workflow-automator in your project.

What does Workflow Automator need to run?

Going by SKILL.md and its folder, Workflow Automator needs a shell for the scripts in its folder. Our summary lists: A Bash shell.

Does Workflow Automator 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 Workflow Automator 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Workflow Automator use?

Workflow Automator 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 Workflow Automator use?

About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Workflow Automator?

Skills that share tags, products or a category with Workflow Automator: Regression Modeler (zebbern/claude-code-guide, 4.7k stars), Screaming Frog Tool (garrettjsmith/localseoskills, 120 stars), Openclaw Rpa (laziobird/openclaw-rpa, 229 stars) and Ak Dev New Messaging Integration (yaalalabs/agent-kernel, 192 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Workflow Automator?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.