A command that analyses activity on Reddit and X (formerly Twitter) and creates a timeline of changing trends.

Use it to review activity timelines, engagement patterns, and important moments in collected Reddit and X data.

It gathers and classifies social media data so you can see how attention and engagement changed over time without sorting posts yourself.

trend — Command for Claude Code by skainguyen1412

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo

git clone --depth 1 https://github.com/skainguyen1412/social-media-research-skill

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/commands/skainguyen1412/social-media-research-skill/trend/github.svg)](https://agentmods.dev/commands/skainguyen1412/social-media-research-skill/trend)

Your own site

<a href="https://agentmods.dev/commands/skainguyen1412/social-media-research-skill/trend"><img src="https://agentmods.dev/badge/commands/skainguyen1412/social-media-research-skill/trend/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/commands/skainguyen1412/social-media-research-skill/trend"><img src="https://agentmods.dev/badge/commands/skainguyen1412/social-media-research-skill/trend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 134 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 86% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00010	$0.00134
Opus 5.5	$0.00004	$0.00054
Sonnet 5.5	$0.00002	$0.00027
Haiku 4.5	$0.00001	$0.00013

Measured 2mo ago against content hash 88aef54f8a9a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

trend scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

86% identical to controversy — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

templates/base/commands/trend.md · 17 lines

What it actually says

This command produces a trend analysis. It follows the orchestrated pipeline with trend as the target.

Ensure raw data exists

Check if reddit_data.json or x_data.json exists. If missing or stale, delegate to the social_media_fetch skill to fetch fresh data with deep depth.
Run analysis

Read the social_media_trend skill instructions and follow them to generate classified_trend.json.
Present results

Display timeline activity, engagement trends, and key moments from classified_trend.json.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 17 lines · 10 tokens per session scan A 88aef54f8a9a

Subscribe to this mod's changes

trend is a command published in the GitHub repository skainguyen1412/social-media-research-skill (62 stars, last pushed 8mo ago), licensed MIT. It adds 10 tokens to every session and 134 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to controversy, differing in 8 lines, and is treated as a copy.

Analytics and metrics ai skills

trend next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
trendskainguyen1412/social-media-research-skill	Command	62	8mo ago	MIT	A	10	Claude Code
cancel-ralphanthropics/claude-plugins-official	Command	46k	yesterday	Apache-2.0	A	4	Claude Code
constraintsvinvcn/addyosmani-agent-skills-zh	Command	46	17d ago	MIT	A	20	Claude Code
spec-forgetercel/spec-forge	Command	10	1mo ago	MIT	A	33	Claude Code
releasekomunite/kalfa	Command	246	6mo ago	MIT	A	13	Claude Code
rclone_config_dumpchaunsin/agent-skills	Command	2	7d ago	Apache-2.0	A	7	Claude Code
dd-initmkhrdev/cc-spec-driven	Command	30	9mo ago	none	A	7	Claude Code