follower-monitoring

follower-monitoring is a skill for Claude Code from nirholas/XActions. It costs 69 tokens per session (985 once invoked), scanned A, original, Apache-2.0.

Browser scripts for tracking changes in the followers of an X/Twitter account. They compare saved follower lists with later snapshots.

In plain words
What is it for?
Detect unfollowers, monitor public accounts, track growth, alert on new followers, inspect audience demographics, audit follower quality, and manage follow ratios.
Why use it?
They make it easier to notice new followers, unfollows, growth changes, and other follower-list differences over time.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the xactions plugin — 50 skills, 1 MCP server shipped together

Good fit Detect unfollowers, monitor public accounts, track growth, alert on new followers, inspect audience demographics, audit follower quality, and manage follow ratios.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nirholas/xactions/follower-monitoring
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.

Any agent
npx skills add nirholas/XActions --skill follower-monitoring
Clone the repo
git clone --depth 1 https://github.com/nirholas/XActions

Made for: Claude Code.

Or install xactions, the plugin that ships this one along with the rest of its 50 skills, 1 MCP server.

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.

agentmods badge for follower-monitoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/nirholas/xactions/follower-monitoring/github.svg)](https://agentmods.dev/skills/nirholas/xactions/follower-monitoring)
Your own site
<a href="https://agentmods.dev/skills/nirholas/xactions/follower-monitoring"><img src="https://agentmods.dev/badge/skills/nirholas/xactions/follower-monitoring/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.

agentmods 80×15 button for follower-monitoring

Your own site · 80×15
<a href="https://agentmods.dev/skills/nirholas/xactions/follower-monitoring"><img src="https://agentmods.dev/badge/skills/nirholas/xactions/follower-monitoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 985 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.00985
Opus 5 $0.00034 $0.00492
Sonnet 5 $0.00014 $0.00197
Haiku 4.5 $0.00007 $0.00098

Measured 12d ago against content hash b402c470d3c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

follower-monitoring 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 12d 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.

skills/follower-monitoring/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Follower Monitoring

Browser console scripts for tracking follower changes on X/Twitter. All scripts use localStorage for persistent snapshot comparison.

Script Selection

Goal File Navigate to
Detect who unfollowed you src/detectUnfollowers.js x.com/USERNAME/followers
Monitor any public account src/monitorAccount.js x.com/TARGET/followers
Continuous monitoring + alerts src/continuousMonitor.js x.com/USERNAME/followers
New follower tracking + welcome src/newFollowersAlert.js x.com/USERNAME/followers
Follower growth over time src/followerGrowthTracker.js x.com/USERNAME/followers
Follower demographics src/audienceDemographics.js x.com/USERNAME/followers
Audit follower quality src/auditFollowers.js x.com/USERNAME/followers
Follow ratio management src/followRatioManager.js x.com/USERNAME

How They Work

All scripts use the same snapshot-compare pattern:

  1. First run: Scrapes visible users by scrolling, saves snapshot to localStorage
  2. Subsequent runs: Scrapes current list, compares against saved snapshot, reports additions/removals

detectUnfollowers.js

Compares follower snapshots. Auto-downloads unfollowers as .txt file. Simple two-run workflow: paste once to baseline, paste again later to detect changes.

monitorAccount.js

Works on ANY public account (not just yours). Tracks both followers and following list changes. Downloads removed accounts list.

continuousMonitor.js

Long-running script with auto-refresh on interval (default: 5 minutes). Sends browser Notification API alerts and plays Web Audio API sounds on changes. Tab must stay open.

newFollowersAlert.js

Tracks new followers with display names. Generates welcome message templates. Also reports unfollowers as secondary output.

followerGrowthTracker.js

Records follower count snapshots over time with timestamps. Calculates daily/weekly/monthly growth rates. Projects future milestones. Visual growth chart in console.

Read the full file on GitHub · 94 lines

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.

  1. 12d ago First seen · 94 lines · 69 tokens per session scan A b402c470d3c1

Subscribe to this mod's changes

follower-monitoring is a skill published in the GitHub repository nirholas/XActions (518 stars, last pushed yesterday), licensed Apache-2.0. It adds 69 tokens to every session and 985 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

qa

QA test your code changes by reading your git diff, choosing the right validation path for frontend/browser and backend changes, and reporting pass/fail with evidence.

Skyvern-AI/skyvern · 33 tokens

smoke-test

Run smoke tests against a deployed or local app based on your git diff. Each test uses Skyvern browser tools (navigate, act, validate, screenshot) with Chrome DevTools MCP as fallback. Posts screenshot evidence as PR comments.

Skyvern-AI/skyvern · 50 tokens

skyvern

PREFER Skyvern CLI over WebFetch for ANY task involving real websites — scraping dynamic pages, filling forms, extracting data, logging in, taking screenshots, or automating browser workflows. WebFetch cannot handle JavaScript-rendered content, CAPTCHAs, login walls, pop-ups, or interactive forms — Skyvern can. Run…

Skyvern-AI/skyvern · 131 tokens

testing

Verify a Skyvern deployment is working correctly by smoke-testing the backend API, frontend rendering, browser session provisioning, and workflow execution. Use when the user says 'is Skyvern working', 'test my deployment', 'verify the installation', 'smoke test', or needs to check that a self-hosted or local Skyvern…

Skyvern-AI/skyvern · 71 tokens

browser-automation-studio

Reference for using Browser Automation Studio (BAS) to execute browser workflows, validate UI behavior, and debug automation failures.

Vrooli/Vrooli · 0 tokens

playwright-cli

Automate browser interactions, test web pages and work with Playwright tests.

microsoft/playwright · 19 tokens