rust-daily

rust-daily

Populaire

CRITICAL: Use for Rust news and daily/weekly/monthly reports. Triggers on: rust news, rust daily, rust weekly, TWIR, rust blog, Rust 日报, Rust 周报, Rust 新闻, Rust 动态

664étoiles
60forks
Mis à jour 2/5/2026
SKILL.md
readonlyread-only
name
rust-daily
description

|

Rust Daily Report

Version: 2.1.0 | Last Updated: 2025-01-27

Fetch Rust community updates, filtered by time range.

Data Sources

Category Sources
Ecosystem Reddit r/rust, This Week in Rust
Official blog.rust-lang.org, Inside Rust
Foundation rustfoundation.org (news, blog, events)

Parameters

  • time_range: day | week | month (default: week)
  • category: all | ecosystem | official | foundation

Execution Mode Detection

CRITICAL: Check agent file availability first to determine execution mode.

Try to read: ../../agents/rust-daily-reporter.md


Agent Mode (Plugin Install)

When ../../agents/rust-daily-reporter.md exists:

Workflow

1. Read: ../../agents/rust-daily-reporter.md
2. Task(subagent_type: "general-purpose", run_in_background: false, prompt: <agent content>)
3. Wait for result
4. Format and present to user

Inline Mode (Skills-only Install)

When agent file is NOT available, execute each source directly:

1. Reddit r/rust

# Using agent-browser CLI
agent-browser open "https://www.reddit.com/r/rust/hot/"
agent-browser get text ".Post" --limit 10
agent-browser close

Or with WebFetch fallback:

WebFetch("https://www.reddit.com/r/rust/hot/", "Extract top 10 posts with scores and titles")

Parse output into:

Score Title Link

2. This Week in Rust

# Check actionbook first
mcp__actionbook__search_actions("this week in rust")
mcp__actionbook__get_action_by_id(<action_id>)

# Then fetch
agent-browser open "https://this-week-in-rust.org/"
agent-browser get text "<selector_from_actionbook>"
agent-browser close

Parse output into:

  • Issue #{number} ({date}): highlights

3. Rust Blog (Official)

agent-browser open "https://blog.rust-lang.org/"
agent-browser get text "article" --limit 5
agent-browser close

Or with WebFetch fallback:

WebFetch("https://blog.rust-lang.org/", "Extract latest 5 blog posts with dates and titles")

Parse output into:

Date Title Summary

4. Inside Rust

agent-browser open "https://blog.rust-lang.org/inside-rust/"
agent-browser get text "article" --limit 3
agent-browser close

Or with WebFetch fallback:

WebFetch("https://blog.rust-lang.org/inside-rust/", "Extract latest 3 posts with dates and titles")

5. Rust Foundation

# News
agent-browser open "https://rustfoundation.org/media/category/news/"
agent-browser get text "article" --limit 3
agent-browser close

# Blog
agent-browser open "https://rustfoundation.org/media/category/blog/"
agent-browser get text "article" --limit 3
agent-browser close

# Events
agent-browser open "https://rustfoundation.org/events/"
agent-browser get text "article" --limit 3
agent-browser close

Time Filtering

After fetching all sources, filter by time range:

Range Filter
day Last 24 hours
week Last 7 days
month Last 30 days

Combining Results

After fetching all sources, combine into the output format below.


Tool Chain Priority

Both modes use the same tool chain order:

  1. actionbook MCP - Check for cached/pre-fetched content first

    mcp__actionbook__search_actions("rust news {date}")
    mcp__actionbook__search_actions("this week in rust")
    mcp__actionbook__search_actions("rust blog")
    
  2. agent-browser CLI - For dynamic web content

    agent-browser open "<url>"
    agent-browser get text "<selector>"
    agent-browser close
    
  3. WebFetch - Fallback if agent-browser unavailable

Source Primary Tool Fallback
Reddit agent-browser WebFetch
TWIR actionbook → agent-browser WebFetch
Rust Blog actionbook → WebFetch -
Foundation actionbook → WebFetch -

DO NOT use:

  • Chrome MCP directly
  • WebSearch for fetching news pages

Output Format

# Rust {Weekly|Daily|Monthly} Report

**Time Range:** {start} - {end}

## Ecosystem

### Reddit r/rust
| Score | Title | Link |
|-------|-------|------|
| {score} | {title} | [link]({url}) |

### This Week in Rust
- Issue #{number} ({date}): highlights

## Official
| Date | Title | Summary |
|------|-------|---------|
| {date} | {title} | {summary} |

## Foundation
| Date | Title | Summary |
|------|-------|---------|
| {date} | {title} | {summary} |

Validation

  • Each source should have at least 1 result, otherwise mark "No updates"
  • On fetch failure, retry with alternative tool
  • Report reason if all tools fail for a source

Error Handling

Error Cause Solution
Agent file not found Skills-only install Use inline mode
agent-browser unavailable CLI not installed Use WebFetch
Site timeout Network issues Retry once, then skip source
Empty results Selector mismatch Report and use fallback

You Might Also Like

Related Skills

summarize

summarize

179Kresearch

Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

openclaw avataropenclaw
Obtenir
prompt-lookup

prompt-lookup

143Kresearch

Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.

skill-lookup

skill-lookup

143Kresearch

Activates when the user asks about Agent Skills, wants to find reusable AI capabilities, needs to install skills, or mentions skills for Claude. Use for discovering, retrieving, and installing skills.

sherpa-onnx-tts

sherpa-onnx-tts

88Kresearch

Local text-to-speech via sherpa-onnx (offline, no cloud)

moltbot avatarmoltbot
Obtenir
openai-whisper

openai-whisper

87Kresearch

Local speech-to-text with the Whisper CLI (no API key).

moltbot avatarmoltbot
Obtenir
seo-review

seo-review

66Kresearch

Perform a focused SEO audit on JavaScript concept pages to maximize search visibility, featured snippet optimization, and ranking potential

leonardomso avatarleonardomso
Obtenir