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Manage Linear Todos Via Cli

ASecurity

A CLI tool that executes Python source code to manage todos via Linear's API. Creates tasks with natural language dates, priorities, and scheduling. This is a source-execution skill - code in src/linear_todos/ runs when commands are invoked.

19 stars
0 votes
0 copies
1 views
Added 9/19/2026
ai-agentspythongoshellbashapisecurity

Works with

cliapi

Security Analysis

A93/100
highCreates or modifies cron jobs for persistent execution

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add rondoflow/rondoflow --skill manage-linear-todos-via-cli --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: manage-linear-todos-via-cli
description: "A CLI tool that executes Python source code to manage todos via Linear's API. Creates tasks with natural language dates, priorities, and scheduling. This is a source-execution skill - code in src/linear_todos/ runs when commands are invoked."
category: "Productivity"
author: community
version: "1.1.0"
icon: check-square
---

# Linear Todos

> **⚠️  This is a SOURCE-EXECUTION skill.** The agent runs Python code from `src/linear_todos/` when you invoke CLI commands. This is **not** instruction-only. Review `src/linear_todos/api.py` before first use.
>
> **🔐 Security Note:** This skill stores your Linear API key in plaintext JSON at `~/.config/linear-todos/config.json` **only if you run the `setup` command**. Use a dedicated API key with minimal scope. The key is only used for Linear API calls and is never transmitted elsewhere. Prefer environment variables (`LINEAR_API_KEY`) to avoid persisted state.
>
> **Audit Info:** This skill makes HTTPS requests **only** to `api.linear.app` (Linear's official GraphQL API). No data is sent elsewhere. See `src/linear_todos/api.py` for the API client implementation.

## Credentials

| Variable | Required | Description |
|----------|----------|-------------|
| `LINEAR_API_KEY` | **Yes** | Your Linear API key from [linear.app/settings/api](https://linear.app/settings/api) |
| `LINEAR_TEAM_ID` | No | Default team ID for todos |
| `LINEAR_STATE_ID` | No | Default state for new todos |
| `LINEAR_DONE_STATE_ID` | No | State for completed todos |
| `LINEAR_TIMEZONE` | No | Your local timezone (e.g., `America/New_York`, `Europe/London`). Used for "end of day" calculations. Falls back to OpenClaw `USER.md` timezone if available. |

**Config Path:** `~/.config/linear-todos/config.json` (created by `setup`, permissions 0o600)

## Security & Auditing

### What This Skill Does

- **HTTP Requests:** Makes HTTPS requests **only** to `https://api.linear.app/graphql` (Linear's official API). No telemetry, no third-party services.
- **Data Storage:** Stores your API key and config in `~/.config/linear-todos/config.json` (plaintext, permissions 0o600) **only if you run the `setup` command**. Team/issue data is fetched fresh each run — nothing is cached locally except your config.
- **Runtime Behavior:** This skill runs from bundled Python source code (not preinstalled system tools). The agent executes `main.py` and code in `src/linear_todos/` when you run CLI commands.
- **Setup Behavior:** During interactive setup, the wizard temporarily sets `LINEAR_API_KEY` in the process environment to test the key. This is only during the setup session and is not persisted.
- **No Auto-Enable:** Does not request platform privileges (`always: false`). Will not auto-enable itself for all agents.
- **Code Locations:**
  - `src/linear_todos/api.py` — All HTTP requests to Linear
  - `src/linear_todos/config.py` — Config file handling
  - `src/linear_todos/setup_wizard.py` — Interactive setup
  - `src/linear_todos/cli.py` — CLI commands

### Recommended Security Practices

1. **Use a dedicated API key:** Create a separate Linear API token with minimal scope for this skill. Revoke it if you uninstall or stop using the skill.
2. **Prefer environment variables:** Set `LINEAR_API_KEY` in your shell instead of running `setup` — no plaintext file is created.
3. **Audit the code:** Review `src/linear_todos/api.py` to verify HTTP destinations before first use.
4. **Run initial setup in isolation:** If unsure, run the skill in a container/VM for the first setup to inspect behavior.

### Cron Jobs (Optional)

The file `cron-jobs.txt` contains **example** cron entries for daily digests. **It does NOT automatically install them.** Adding cron jobs requires manual action:

```bash
# Review the examples first:
cat cron-jobs.txt

# If you want to use them, edit your crontab:
crontab -e
```

**Preferred alternative:** Use OpenClaw's built-in cron instead of system crontab:
```bash
openclaw cron add --name "morning-digest" --schedule "0 8 * * *" \
  --payload "linear-todos digest" --session-target isolated
```

A powerful todo management system built on Linear with smart date parsing, priorities, and a complete CLI workflow.

## Quick Start

```bash
# Setup (run once)
uv run python main.py setup

# Create todos
uv run python main.py create "Call mom" --when day
uv run python main.py create "Pay taxes" --date 2025-04-15
uv run python main.py create "Review PR" --priority high --when week

# Natural language dates
uv run python main.py create "Meeting prep" --date "tomorrow"
uv run python main.py create "Weekly report" --date "next Monday"
uv run python main.py create "Dentist" --date "in 3 days"

# Manage todos
uv run python main.py list
uv run python main.py done ABC-123
uv run python main.py snooze ABC-123 "next week"

# Daily review
uv run python main.py review
```

## Setup

### 1. Get API Key

Get your API key from [linear.app/settings/api](https://linear.app/settings/api). **Recommendation:** Create a dedicated API key with minimal scope for this skill.

### 2. Run Setup

```bash
uv run python main.py setup
```

This interactive wizard will:
- Verify your API key
- List your Linear teams
- Let you select your todo team
- Configure initial and done states
- Save settings to `~/.config/linear-todos/config.json` (plaintext JSON)

### 3. Manual Configuration (optional)

Instead of running setup, you can use environment variables:

```bash
export LINEAR_API_KEY="lin_api_..."
export LINEAR_TEAM_ID="your-team-id"
export LINEAR_STATE_ID="your-todo-state-id"
export LINEAR_DONE_STATE_ID="your-done-state-id"
```

Or create `~/.config/linear-todos/config.json`:

```json
{
  "apiKey": "lin_api_...",
  "teamId": "team-uuid",
  "stateId": "todo-state-uuid",
  "doneStateId": "done-state-uuid",
  "timezone": "America/New_York"
}
```

## Commands

### create

Create a new todo with optional timing, priority, and description.

```bash
uv run python main.py create "Title" [options]

Options:
  --when day|week|month     Relative due date
  --date DATE               Specific due date (supports natural language)
  --priority LEVEL          urgent, high, normal, low, none
  --desc "Description"      Add description
```

**Natural Date Examples:**

```bash
uv run python main.py create "Task" --date "tomorrow"
uv run python main.py create "Task" --date "Friday"
uv run python main.py create "Task" --date "next Monday"
uv run python main.py create "Task" --date "in 3 days"
uv run python main.py create "Task" --date "in 2 weeks"
uv run python main.py create "Task" --date "2025-04-15"
```

**Complete Examples:**

```bash
# Due by end of today
uv run python main.py create "Call mom" --when day

# Due in 7 days
uv run python main.py create "Submit report" --when week

# Specific date with high priority
uv run python main.py create "Launch feature" --date 2025-03-15 --priority high

# Natural language date with description
uv run python main.py create "Team meeting prep" --date "next Monday" --desc "Prepare slides"

# Urgent priority, due tomorrow
uv run python main.py create "Fix production bug" --priority urgent --date tomorrow
```

### list

List all your todos.

```bash
uv run python main.py list [options]

Options:
  --all       Include completed todos
  --json      Output as JSON
```

### done

Mark a todo as completed.

```bash
uv run python main.py done ISSUE_ID

# Examples
uv run python main.py done TODO-123
uv run python main.py done ABC-456
```

### snooze

Reschedule a todo to a later date.

```bash
uv run python main.py snooze ISSUE_ID [when]

# Examples
uv run python main.py snooze TODO-123 "tomorrow"
uv run python main.py snooze TODO-123 "next Friday"
uv run python main.py snooze TODO-123 "in 1 week"
```

### review

Daily review command that organizes todos by urgency.

```bash
uv run python main.py review
```

Output sections:
- 🚨 **OVERDUE** - Past due date
- 📅 **Due Today** - Due today
- ⚡ **High Priority** - Urgent/high priority items
- 📊 **This Week** - Due within 7 days
- 📅 **This Month** - Due within 28 days
- 📝 **No Due Date** - Items without dates

### setup

Interactive setup wizard to configure your Linear integration.

```bash
uv run python main.py setup
```

This will guide you through:
- Verifying your API key
- Selecting your Linear team
- Configuring initial and done states
- Saving settings to `~/.config/linear-todos/config.json`

## For Agents

When the user asks for reminders or todos:

### 1. Parse Natural Language Dates

Convert user input to specific dates:

```bash
# "remind me Friday to call mom"
uv run python main.py create "Call mom" --date "2025-02-21"

# "remind me to pay taxes by April 15"
uv run python main.py create "Pay taxes" --date "2025-04-15"

# "remind me next week about the meeting"
uv run python main.py create "Meeting" --date "next Monday"
```

### 2. Determine Priority

Ask if not specified:
- **Urgent** (🔥) - Critical, do immediately
- **High** (⚡) - Important, do soon
- **Normal** (📌) - Standard priority (default)
- **Low** (💤) - Can wait

### 3. Daily Briefing

When asked "what do I have to do today", run:

```bash
uv run python main.py review
```

Present the output **exactly as formatted** - don't reformat or summarize.

### 4. Complete Todos

When user says they completed something, mark it done:

```bash
uv run python main.py done ISSUE-123
```

## Date Parsing Reference

| Input | Result |
|-------|--------|
| `today` | Today |
| `tomorrow` | Next day |
| `Friday` | Next occurrence of Friday |
| `next Monday` | Monday of next week |
| `this Friday` | Friday of current week (or next if passed) |
| `in 3 days` | 3 days from now |
| `in 2 weeks` | 14 days from now |
| `2025-04-15` | Specific date |

## Priority Levels

| Level | Number | Icon | Use For |
|-------|--------|------|---------|
| Urgent | 1 | 🔥 | Critical, blocking issues |
| High | 2 | ⚡ | Important, time-sensitive |
| Normal | 3 | 📌 | Standard tasks (default) |
| Low | 4 | 💤 | Nice-to-have, can wait |
| None | 0 | 📋 | No priority set |

## Timezone Support

By default, due dates are calculated in UTC (end of day = 23:59:59 UTC). To use your local timezone for "end of day" calculations:

```bash
# Set via environment variable
export LINEAR_TIMEZONE="America/New_York"

# Or add to config.json
{
  "timezone": "America/New_York"
}
```

**OpenClaw Integration:** If running inside an OpenClaw workspace, the skill will automatically detect your timezone from `USER.md` (e.g., `timezone: America/New_York`). No manual configuration needed!

When a timezone is configured:
- `--when day` sets due date to end of today in your timezone (converted to UTC for Linear)
- `--when week` sets due date to 7 days from now, end of day in your timezone
- `--date "tomorrow"` sets due date to end of tomorrow in your timezone

Common timezone values: `America/New_York`, `America/Los_Angeles`, `Europe/London`, `Europe/Paris`, `Asia/Tokyo`

## Configuration Precedence

Settings are loaded in this order (later overrides earlier):

1. Default values (none)
2. Config file: `~/.config/linear-todos/config.json`
3. Environment variables: `LINEAR_*`
4. Command-line flags: `--team`, `--state`

## Files

| File | Purpose |
|------|---------|
| `main.py` | Main entry point for the CLI |
| `src/linear_todos/cli.py` | CLI implementation with all commands |
| `src/linear_todos/api.py` | Linear API client |
| `src/linear_todos/config.py` | Configuration management |
| `src/linear_todos/dates.py` | Date parsing utilities |
| `src/linear_todos/setup_wizard.py` | Interactive setup wizard |

Attribution

rondoflowrondoflow
View sourceMore from rondoflow →
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