fs-street

Web & Frontend Development
v0.1.0
Benign

Fetches articles from Farnam Street RSS.

456 downloads456 installsby @hjw21century

Setup & Installation

Install command

clawhub install hjw21century/fs-street

If the CLI is not installed:

Install command

npx clawhub@latest install hjw21century/fs-street

Or install with OpenClaw CLI:

Install command

openclaw skills install hjw21century/fs-street

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/hjw21century/fs-street

What This Skill Does

Fetches articles from the Farnam Street blog RSS feed by date or keyword. Supports relative dates, absolute dates, and topic searches. Some articles are marked as members-only premium content.

Lets you query Farnam Street content by date or topic directly in your agent without manually browsing the blog.

When to Use It

  • Read yesterday's Farnam Street post during morning routine
  • Look up a specific article by publication date
  • Search for past articles on mental models or decision-making
  • Check what dates have available articles before querying
  • Get a summary of a specific post without visiting the site
View original SKILL.md file
# Farnam Street

Fetches articles from Farnam Street blog, covering topics like mental models, decision-making, leadership, and learning.

## Quick Start

```
# Basic queries
昨天的文章
今天的FS文章
2024-06-13的文章

# Search
有哪些可用的日期
```

## Query Types

| Type | Examples | Description |
|------|----------|-------------|
| Relative date | `昨天的文章` `今天的文章` `前天` | Yesterday, today, day before |
| Absolute date | `2024-06-13的文章` | YYYY-MM-DD format |
| Date range | `有哪些日期` `可用的日期` | Show available dates |
| Topic search | `关于决策的文章` `思维模型` | Search by keyword |

## Workflow

```
- [ ] Step 1: Parse date from user request
- [ ] Step 2: Fetch RSS data
- [ ] Check content availability
- [ ] Format and display results
```

---

## Step 1: Parse Date

| User Input | Target Date | Calculation |
|------------|-------------|-------------|
| `昨天` | Yesterday | today - 1 day |
| `前天` | Day before | today - 2 days |
| `今天` | Today | Current date |
| `2024-06-13` | 2024-06-13 | Direct parse |

**Format**: Always use `YYYY-MM-DD`

---

## Step 2: Fetch RSS

```bash
python skills/fs-street/scripts/fetch_blog.py --date YYYY-MM-DD
```

**Available commands**:

```bash
# Get specific date
python skills/fs-street/scripts/fetch_blog.py --date 2024-06-13

# Get date range
python skills/fs-street/scripts/fetch_blog.py --date-range

# Relative dates
python skills/fs-street/scripts/fetch_blog.py --relative yesterday
```

**Requirements**: `pip install feedparser requests`

---

## Step 3: Check Content

### When NOT Found

```markdown
Sorry, no article available for 2024-06-14

Available date range: 2023-04-19 ~ 2024-06-13

Suggestions:
- View 2024-06-13 article
- View 2024-06-12 article
```

### Members Only Content

Some articles are marked `[FS Members]` - these are premium content and may only show a teaser.

---

## Step 4: Format Results

**Example Output**:

```markdown
# Farnam Street · 2024年6月13日

> Experts vs. Imitators: How to tell the difference between real expertise and imitation

## Content

If you want the highest quality information, you have to speak to the best people. The problem is many people claim to be experts, who really aren't.

**Key Insights**:
- Imitators can't answer questions at a deeper level
- Experts can tell you all the ways they've failed
- Imitators don't know the limits of their expertise

---
Source: Farnam Street
URL: https://fs.blog/experts-vs-imitators/
```

---

## Configuration

| Variable | Description | Default |
|----------|-------------|---------|
| RSS_URL | RSS feed URL | `https://fs.blog/feed/` |

No API keys required.

---

## Troubleshooting

| Issue | Solution |
|-------|----------|
| RSS fetch fails | Check network connectivity |
| Invalid date | Use YYYY-MM-DD format |
| No content | Check available date range |
| Members only | Some articles are premium content |

---

## CLI Reference

```bash
# Get specific date
python skills/fs-street/scripts/fetch_blog.py --date 2024-06-13

# Get date range
python skills/fs-street/scripts/fetch_blog.py --date-range

# Relative dates
python skills/fs-street/scripts/fetch_blog.py --relative yesterday
```

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Read yesterday's Farnam Street post during morning routine

AGENT
  1. 1Read yesterday's Farnam Street post during morning routine
  2. 2Look up a specific article by publication date
  3. 3Search for past articles on mental models or decision-making
  4. 4Check what dates have available articles before querying
  5. 5Get a summary of a specific post without visiting the site
OUTPUT
Fetches articles from Farnam Street RSS.

Share this skill

Security Audits

VirusTotalBenign
OpenClawBenign
View full report

These signals reflect official OpenClaw status values. A Suspicious status means the skill should be used with extra caution.

Details

LanguageMarkdown
Last updatedFeb 26, 2026