Adhx
sickn33/agentic-awesome-skills
Fetch any X/Twitter post as clean LLM-friendly JSON. An agent skill from sickn33/agentic-awesome-skills.
Search and scrape Twitter/X posts using Apify. An agent skill from gooseworks-ai/goose-skills.
Install Twitter Mention Tracker
$ npx skills add gooseworks-ai/goose-skills --skill twitter-mention-tracker -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills twitter-mention-tracker --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/monitoring/capabilities/twitter-mention-tracker .claude/skills/twitter-mention-tracker && rm -rf skills-srcUse ~/.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/
Install the "twitter-mention-tracker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/twitter-mention-tracker into .claude/skills/twitter-mention-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-mention-tracker", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/twitter-mention-trackerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill twitter-mention-tracker -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills twitter-mention-tracker --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/monitoring/capabilities/twitter-mention-tracker .agents/skills/twitter-mention-tracker && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "twitter-mention-tracker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/twitter-mention-tracker into .agents/skills/twitter-mention-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-mention-tracker", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill twitter-mention-tracker -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills twitter-mention-tracker --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/monitoring/capabilities/twitter-mention-tracker .cursor/skills/twitter-mention-tracker && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "twitter-mention-tracker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/twitter-mention-tracker into .cursor/skills/twitter-mention-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-mention-tracker", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/monitoring/capabilities/twitter-mention-tracker--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill twitter-mention-tracker -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills twitter-mention-tracker --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/monitoring/capabilities/twitter-mention-tracker .gemini/skills/twitter-mention-tracker && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "twitter-mention-tracker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/twitter-mention-tracker into .gemini/skills/twitter-mention-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-mention-tracker", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills twitter-mention-trackerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill twitter-mention-tracker -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/monitoring/capabilities/twitter-mention-tracker .github/skills/twitter-mention-tracker && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "twitter-mention-tracker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/twitter-mention-tracker into .github/skills/twitter-mention-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-mention-tracker", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill twitter-mention-tracker -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills twitter-mention-tracker --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/monitoring/capabilities/twitter-mention-tracker .opencode/skills/twitter-mention-tracker && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "twitter-mention-tracker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/monitoring/capabilities/twitter-mention-tracker into .opencode/skills/twitter-mention-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-mention-tracker", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
twitter-mention-tracker- GitHub stars
- 1.2k
- Used in
- 1 other repo
- Token cost
- ~805 tokens
- SKILL.md length
- 202 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Search and scrape Twitter/X posts using Apify. An agent skill from gooseworks-ai/goose-skills.
- Works in 6 steps: Builds a search term with the query… → Calls the Apify apidojo/tweet-scraper… → Polls until the run completes, then… → …
- You need to find tweets
- SKILL.md covers Quick Start, Date Filtering, How the Script Works and CLI Reference, plus 3 more sections
- Runs Python scripts from its folder; calls python3; reaches twitter.com; needs APIFY_API_TOKEN
What it does
Twitter Mention Tracker is an agent skill from gooseworks-ai/goose-skills. Search and scrape Twitter/X posts using Apify. Use when you need to find tweets, track brand mentions, monitor competitors on Twitter, or analyze Twitter discussions. Uses Twitter native search syntax (since:/until:) for reliable date filtering.
Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/search_twitter.py` and `skill.meta.json`).
It sits in Data & Analytics, covering Web scraping and Social media posts. It works with X (Twitter) and Apify. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- You need to find tweets
- Track brand mentions
- Monitor competitors on Twitter
- Analyze Twitter discussions
Example prompts
- “/twitter-mention-tracker”
Requirements
- Python 3
- A credential in APIFY_API_TOKEN
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Builds a search term with the query quoted and date operators appended
- Calls the Apify apidojo/tweet-scraper actor via REST API
- Polls until the run completes, then fetches the dataset
- Deduplicates by tweet ID/URL
- Applies optional keyword filtering (client-side)
- Sorts by likes (descending) and outputs JSON or summary
What it can do on your machine
Read from SKILL.md and the folder at commit c650c6d. 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 1 file 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
Hosts in commands or code, which the agent is likely to contact:
twitter.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
APIFY_API_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Twitter Mention Tracker loads about 805 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 202 words of instructions outside code blocks.
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
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 202 words, ~805 tokens.
Download SKILL.mdSave it as
.claude/skills/twitter-mention-tracker/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- twitter-mention-tracker
- description
- Search and scrape Twitter/X posts using Apify. Use when you need to find tweets, track brand mentions, monitor competitors on Twitter, or analyze Twitter discussions. Uses Twitter native search syntax (since:/until:) for reliable date filtering.
Twitter Mention Tracker
Search Twitter/X posts using the Apify apidojo/tweet-scraper actor.
Quick Start
Requires APIFY_API_TOKEN env var (or --token flag).
# Search with date range (recommended -- uses Twitter native since:/until: operators)
python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
--query "YourCompany" --since 2026-02-15 --until 2026-02-23
# Quick summary of recent mentions
python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
--query "@yourhandle" --max-tweets 20 --output summary
# Search without date filtering
python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
--query "AI content marketing" --max-tweets 50Date Filtering
Important: The apidojo/tweet-scraper actor's built-in date parameters are unreliable.
This script embeds since:YYYY-MM-DD and until:YYYY-MM-DD directly into the search query
string, using Twitter's native advanced search syntax. This ensures date filtering works
correctly server-side.
How the Script Works
- Builds a search term with the query quoted and date operators appended
- Calls the Apify
apidojo/tweet-scraperactor via REST API - Polls until the run completes, then fetches the dataset
- Deduplicates by tweet ID/URL
- Applies optional keyword filtering (client-side)
- Sorts by likes (descending) and outputs JSON or summary
CLI Reference
| Flag | Default | Description |
|---|---|---|
--query | required | Search query (quoted in Twitter search) |
--since | none | Start date YYYY-MM-DD (inclusive) |
--until | none | End date YYYY-MM-DD (exclusive) |
--max-tweets | 50 | Max tweets to scrape |
--keywords | none | Additional filter keywords (comma-separated, OR logic) |
--output | json | Output format: json or summary |
--token | env var | Apify token (prefer APIFY_API_TOKEN env var) |
--timeout | 300 | Max seconds to wait for the Apify run |
Direct API Usage
{
"searchTerms": ["\"YourCompany\" since:2026-02-15 until:2026-02-22"],
"maxTweets": 50,
"searchMode": "live"
}Output Format
Tweets are returned as JSON array sorted by likes. Each tweet has:
{
"id": "...",
"text": "Tweet text...",
"fullText": "Full tweet text...",
"likeCount": 42,
"retweetCount": 5,
"replyCount": 3,
"viewCount": 1200,
"createdAt": "2026-02-18T12:00:00.000Z",
"author": {"userName": "handle", "name": "Display Name", ...},
"twitterUrl": "https://twitter.com/..."
}Common Workflows
Competitor Monitoring
python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
--query "CompetitorName" --since 2026-02-15 --until 2026-02-23 --output summaryBrand Mention Tracking
python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
--query "@YourHandle OR \"YourBrand\"" --max-tweets 100© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts) in skills/monitoring/capabilities/twitter-mention-tracker of gooseworks-ai/goose-skills.
- SKILL.md
- scripts/search_twitter.py
- skill.meta.json
Open the folder on GitHubat commit c650c6d
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.
Compare with similar skills
Twitter Mention Tracker 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Twitter Mention Tracker this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~805 | Automated safety check: Pass | MIT | |
| Adhxsickn33/agentic-awesome-skills | 47k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Xquik X Tweet ScraperVarnan-Tech/opendirectory | 674 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Apify Ads Intelligenceapify/awesome-skills | 266 | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | |
| X Twitter Scraperhoodini/ai-agents-skills | 282 | — | ~575 | Automated safety check: Pass | None | |
| Pp Apifymvanhorn/printing-press-library | 2.1k | — | ~6.4k | Automated safety check: Notes | Apache-2.0 |
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- Official
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Related
Works with
Categories
Questions about Twitter Mention Tracker
What does Twitter Mention Tracker do?
Search and scrape Twitter/X posts using Apify. An agent skill from gooseworks-ai/goose-skills. Twitter Mention Tracker is an agent skill from gooseworks-ai/goose-skills. Search and scrape Twitter/X posts using Apify.
When should I use Twitter Mention Tracker?
Twitter Mention Tracker fits situations like: you need to find tweets; track brand mentions; monitor competitors on Twitter; analyze Twitter discussions.
How do I install Twitter Mention Tracker in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill twitter-mention-tracker -a claude-code`. Or copy the skill folder (skills/monitoring/capabilities/twitter-mention-tracker in gooseworks-ai/goose-skills) into .claude/skills/twitter-mention-tracker in your project. Claude Code loads it when a task matches its description.
How do I install Twitter Mention Tracker in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill twitter-mention-tracker -a codex`. Or copy the skill folder (skills/monitoring/capabilities/twitter-mention-tracker in gooseworks-ai/goose-skills) into .agents/skills/twitter-mention-tracker in your project. Codex loads it when a task matches its description.
Can I use Twitter Mention Tracker 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 gooseworks-ai/goose-skills --skill twitter-mention-tracker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/twitter-mention-tracker, .gemini/skills/twitter-mention-tracker, .github/skills/twitter-mention-tracker and .opencode/skills/twitter-mention-tracker in your project.
What does Twitter Mention Tracker need to run?
Going by SKILL.md and its folder, Twitter Mention Tracker needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN.
Does Twitter Mention Tracker access the network?
SKILL.md names 1 domain. In commands or code: twitter.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Twitter Mention Tracker 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 Twitter Mention Tracker use?
Twitter Mention Tracker is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Twitter Mention Tracker use?
About 805 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Twitter Mention Tracker?
Skills that share tags, products or a category with Twitter Mention Tracker: Adhx (sickn33/agentic-awesome-skills, 47k stars), Xquik X Tweet Scraper (Varnan-Tech/opendirectory, 674 stars), Apify Ads Intelligence (apify/awesome-skills, 266 stars) and X Twitter Scraper (hoodini/ai-agents-skills, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Twitter Mention Tracker?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.