Fs Street

Fetches articles from Farnam Street RSS. Use when asking about decision-making, mental models, learning, or wisdom from Farnam Street blog.

Security Scan

The skill does what it says — fetches Farnam Street RSS entries — and its files, runtime instructions, and network use are proportionate and consistent with that purpose.

Purpose & Capability

Name and description match the included code and instructions. The only external network access is to the Farnam Street RSS feed (https://fs.blog/feed/), which is exactly what the skill claims to do.

Instruction Scope

SKILL.md instructs running a bundled Python script and includes only feed-related operations and date parsing. One minor inconsistency: the docs show the script path as 'python skills/fs-street/scripts/fetch_blog.py' while the repository file is at 'scripts/fetch_blog.py' — that path mismatch may cause confusion when invoking the CLI exactly as shown.

Install Mechanism

There is no install spec in the registry (instruction-only), and the script depends on public Python packages (feedparser, requests) which the SKILL.md correctly documents (pip install feedparser requests). No downloads from untrusted URLs or archive extraction are present.

Credentials

The skill requires no environment variables, credentials, or config paths. It performs a single, expected network fetch to the public RSS URL; no secrets are requested or used.

Persistence & Privilege

The skill does not request persistent 'always' inclusion and does not modify other skills or system settings. It runs on-demand and prints structured JSON output; autonomous invocation is enabled by platform default but the skill itself has no elevated privileges.

Assessment

This skill appears coherent and limited to fetching Farnam Street RSS entries. Before installing: (1) note you may need to pip install feedparser and requests if you run the script locally; (2) adjust the script path in the docs if you invoke it exactly as shown (use scripts/fetch_blog.py or update the path to where the agent installs skills); (3) be aware the skill fetches content from fs.blog over the network and may show only teasers for members-only posts; (4) no secrets or broad permissions are requested. If you require stricter controls, run the included script in an isolated environment or inspect it locally before enabling autonomous use.

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

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

Available commands:

# 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

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:

# 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

# 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