agentsclimarketplace

Plurk trend

Skill akhy/agent-skills/plurk-trend

LLM agent skills collection

Install
npx -y skills add akhy/agent-skills --skill plurk-trend

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Show trending plurks from the last 24 hours — top plurks ranked by number of responses, descending. Builds on the plurk skill. Useful for discovering popular or viral content on Plurk.

SKILL.md

3.6 KB, 806 tokens by cl100k_base, as published. Nobody here has run it

Plurk Trend Skill

Fetch and rank the most-responded-to plurks from your timeline in the last 24 hours.

Depends on the plurk skill for credentials and API access.

Prerequisites

Same env vars as the plurk skill:

export PLURK_APP_KEY="your_consumer_key"
export PLURK_APP_SECRET="your_consumer_secret"
export PLURK_AUTH_TOKEN="your_access_token"
export PLURK_AUTH_SECRET="your_access_secret"

Script

uv run plurk-trend/scripts/plurk_trend.py [--top N] [--since DURATION]
  • --top N — number of trending plurks to show (default: 10)
  • --since DURATION — time window in Go-style duration (default: 24h)
  • --min-responses N — exclude plurks with fewer than N responses (default: 1)

Duration format: combine h (hours), m (minutes), s (seconds) — e.g. 24h, 6h, 1h30m, 90m, 30s

How It Works

  1. Paginates through your timeline collecting all plurks within the given time window
  2. Excludes plurks with zero responses
  3. Sorts remaining plurks by response_count descending
  4. Returns the top N

Output Format

JSON array of plurk objects:

[
  {
    "plurk_id": 123456,
    "permalink": "https://www.plurk.com/p/abc1",
    "posted": "Fri, 05 Jun 2009 23:07:13 GMT",
    "plurker": "Alvin Lim (@alvin)",
    "qualifier": "says",
    "content_raw": "Hello world!",
    "content": "Hello world!",
    "response_count": 42
  }
]

Formatting Suggestions

When presenting results to a user, apply these rules:

Content: Use content_raw for plain-text mediums (terminal, chat, markdown). Use content only when the medium renders HTML and inline images.

Plurker name: Already formatted as display_name (@nick_name) in the output.

Responses: Show as a count, e.g. 42 responses.

Permalink: Included in output as permalink — use it to link directly to the plurk.

Example rendered output

#1 — 42 responses
Alvin Lim (@alvin) says:
Hello world!
https://www.plurk.com/p/abc1

#2 — 37 responses
...

jq helpers

# Default top 10, last 24h
uv run plurk-trend/scripts/plurk_trend.py

# Top 5, last 6 hours
uv run plurk-trend/scripts/plurk_trend.py --top 5 --since 6h

# Only plurks with at least 5 responses
uv run plurk-trend/scripts/plurk_trend.py --min-responses 5

# Last 1.5 hours
uv run plurk-trend/scripts/plurk_trend.py --since 1h30m

# Last 90 minutes
uv run plurk-trend/scripts/plurk_trend.py --since 90m

# Plain text summary
uv run plurk-trend/scripts/plurk_trend.py | jq -r '
  to_entries[] |
  "#\(.key + 1) — \(.value.response_count) responses\n\(.value.plurker) \(.value.qualifier):\n\(.value.content_raw)\n\(.value.permalink)\n"
'

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.