Agent skill

Ray Trend Search

by imraywang in imraywang/rayskills

Researches what people are saying about a topic over a recent window across X, Reddit, YouTube and the public web, reporting each source's status with links.

Custom licenceAuto-check passedResearch & Science

Install Ray Trend Search

skills CLI
$ npx skills add imraywang/rayskills --skill ray-trend-search -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install imraywang/rayskills ray-trend-search --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/imraywang/rayskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ray-trend-search .claude/skills/ray-trend-search && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ray-trend-search
GitHub stars
159
Token cost
~2.1k tokens
SKILL.md length
998 words
Files
6 (incl. scripts, references)
Skills in repo
12
Repo updated
First seen
Licence
Custom licence

At a glance

Researches what people are saying about a topic over a recent window across X, Reddit, YouTube and the public web, reporting each source's status with links.

  • Works in 6 steps: Define the research target → Probe local source readiness → Build source-specific queries → …
  • Checking what people are saying about a topic over the last few weeks
  • SKILL.md covers Completion contract, Choose a mode, Workflow and Failure rules
  • Runs Python scripts from its folder; calls python3

What it does

The skill builds a trend map even when a platform connector fails, treating every source as its own channel and never reading an empty or failed query as proof that nobody is discussing the topic. It orchestrates a local Grok route for X and Reddit, the last30days collector for supported indexes and public-web checks, with a stated time window that defaults to the last 30 days.

A run must state the window and platforms, label each source as ok, degraded, unavailable or not requested, keep only in-window items in the recent results, give direct links for material claims, and separate visible facts, third-party observations, inference and unknowns. The strongest claim is cross-checked against a primary or independent source. Quick mode, the default, runs one X search, one short YouTube or index search and web verification; deep mode searches X and Reddit separately and compares sources. `source_probe.py` checks which local routes exist, and credentials are never shown.

When your agent uses it

  • Checking what people are saying about a topic over the last few weeks
  • Finding hot videos or community sentiment around a product or news item
  • Backing a content idea with dated, linked evidence from several platforms

Example prompts

  • “Run a deep trend check on open-source coding agents across X, Reddit and Hacker News.”
  • “Find the hot YouTube videos about home espresso machines this month and give me links.”
  • “What is the community sentiment on Polymarket election markets over the last two weeks?”

Requirements

  • Python 3 for the probe and collector scripts
  • A local Grok setup for X and Reddit searches
  • The last30days collector for supported indexes

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Define the research target
  2. Probe local source readiness
  3. Build source-specific queries
  4. Route each source
  5. Normalize evidence
  6. Report the result

What it can do on your machine

Read from SKILL.md and the folder at commit 2ad2449. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ray Trend Search loads about 2.1k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 132 tokens; SKILL.md has 998 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~132
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 998 words (~2,088 tokens).

“Build a defensible recent-trend map even when individual platform connectors fail. Treat every source as a separately observable channel. Never turn a failed connector or an empty query into a claim that nobody is discussing the topic.”

— opening of SKILL.md by imraywang, Custom licence
name
ray-trend-search

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (scripts, references) in skills/ray-trend-search of imraywang/rayskills.

  • SKILL.md
  • evals/evals.json
  • references/source-routing.md
  • scripts/collect_last30.py
  • scripts/source_probe.py
  • tests/test_collect_last30.py

Open the folder on GitHubat commit 2ad2449

Compare with similar skills

Ray Trend Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ray Trend Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ray Trend Search this skillimraywang/rayskills159—~2.1kAutomated safety check: PassCustom licence
Argo Search and Verificationtaxueseek/argo188—~1.2kAutomated safety check: PassMIT
Agent ReachPanniantong/Agent-Reach95k—~1.4kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT
Deep Researchcoreyhaines31/makerskills851—~1.4kAutomated safety check: PassMIT
Tavily Web Searchallenpeng0705/EnvoyMesh3.1k3 repos~2.5kAutomated safety check: NotesNone

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Questions about Ray Trend Search

What does Ray Trend Search do?

Researches what people are saying about a topic over a recent window across X, Reddit, YouTube and the public web, reporting each source's status with links. The skill builds a trend map even when a platform connector fails, treating every source as its own channel and never reading an empty or failed query as proof that nobody is discussing the topic. It orchestrates a local Grok route for X and Reddit, the last30days collector for supported indexes and public-web checks, with a stated time window that defaults to the last 30 days.

When should I use Ray Trend Search?

Ray Trend Search fits situations like: checking what people are saying about a topic over the last few weeks; finding hot videos or community sentiment around a product or news item; backing a content idea with dated, linked evidence from several platforms.

How do I install Ray Trend Search in Claude Code?

Run `npx skills add imraywang/rayskills --skill ray-trend-search -a claude-code`. Or copy the skill folder (skills/ray-trend-search in imraywang/rayskills) into .claude/skills/ray-trend-search in your project. Claude Code loads it when a task matches its description.

How do I install Ray Trend Search in Codex?

Run `npx skills add imraywang/rayskills --skill ray-trend-search -a codex`. Or copy the skill folder (skills/ray-trend-search in imraywang/rayskills) into .agents/skills/ray-trend-search in your project. Codex loads it when a task matches its description.

Can I use Ray Trend Search in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add imraywang/rayskills --skill ray-trend-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ray-trend-search, .gemini/skills/ray-trend-search, .github/skills/ray-trend-search and .opencode/skills/ray-trend-search in your project.

What does Ray Trend Search need to run?

Going by SKILL.md and its folder, Ray Trend Search needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3 for the probe and collector scripts; A local Grok setup for X and Reddit searches; The last30days collector for supported indexes.

Does Ray Trend Search access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ray Trend Search safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Ray Trend Search use?

Ray Trend Search has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Ray Trend Search use?

About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 563 tokens, read only when the agent opens those files.

What are the alternatives to Ray Trend Search?

Skills that share tags, products or a category with Ray Trend Search: Argo Search and Verification (taxueseek/argo, 188 stars), Agent Reach (Panniantong/Agent-Reach, 95k stars), Last30days (mvanhorn/last30days-skill, 64k stars) and Deep Research (coreyhaines31/makerskills, 851 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ray Trend Search?

imraywang (a GitHub user) maintains it in imraywang/rayskills, which has 159 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 23, 2026.

Source: imraywang/rayskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.