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X Tweet Fetch

Listed
b-open-io·vlatest·other

X Tweet Fetch retrieves specific tweets from Twitter (now X) based on your query, streamlining information gathering and research.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add b-open-io/prompts --skill x-tweet-fetch --full-depth -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

b-open-io

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 4 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.x.com, developer.x.com, docs.x.com, x.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    x.comundeclaredapi.x.comundeclareddeveloper.x.comundeclareddocs.x.comundeclared

    What it found (3 of 6)

    • modules/research/skills/x-tweet-fetch/SKILL.md:29contacts x.com
      ${CLAUDE_SKILL_DIR}/scripts/fetch.sh "https://x.com/kurtwuckertjr/status/1234567890"
    • modules/research/skills/x-tweet-fetch/scripts/fetch.sh:11contacts x.com
      echo "Example: fetch.sh https://x.com/user/status/1234567890"
    • modules/research/skills/x-tweet-fetch/scripts/fetch.sh:29contacts api.x.com
      curl -s "https://api.x.com/2/tweets/${TWEET_ID}?tweet.fields=created_at,author_id,public_metrics,entities,conversation_id&expansions=author_id,referenced_tweet…
  • No obfuscated payloads: failed

    Contains 1 obfuscated or encoded payload pattern.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

    What it found

    • modules/research/skills/x-tweet-fetch/.clawnet/unsigned-skill.json:43312-character base64 literal
      "opReturnHex": "6a2231394878696756345179427633744870515663554551797131707a5a56646f4175744d4d042d2d2d0a6e616d653a20782d74776565742d66657463680a76657273696f6e3a2…
  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned b-open-io/prompts at 3e198cc712.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
4 files, 134 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to retrieve and analyze data from X (formerly Twitter) by executing custom prompts. It allows agents to fetch specific tweets, search for trends, or extract information based on defined criteria directly within the agent's workflow.

When to use it

  • Gathering real-time public sentiment or news updates from specific hashtags or keywords.
  • Extracting user mentions or replies related to a particular brand or topic.
  • Fetching historical tweet data for analysis or reporting purposes.
  • Monitoring trending topics within specific niches or industries on the platform.

Key capabilities

  • Executes custom prompts to query X data dynamically.
  • Retrieves specific tweets based on user-defined parameters.
  • Processes and returns structured information from social media posts.

Example prompts

  • "Fetch the top 5 most recent tweets discussing #AIethics."
  • "Retrieve all replies to my latest post about the new product launch."
  • "Search for tweets containing 'quantum computing' posted in the last hour."

Tips & gotchas

Ensure your AI agent has appropriate permissions or API access configured to interact with X, as direct data fetching may be restricted without proper authentication. Be mindful of rate limits imposed by the platform when executing multiple fetch requests rapidly.