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Comparison

Hiring Signals vs linkedin-scam-detector

Hiring Signals is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑15.

Hiring Signals is a plugin bundle for AI coding tools published by Bence Kadi. No marketplace we read lists it any more. linkedin-scam-detector is a plugin bundle for AI coding tools published by oopsyz. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). As of our marketplace pass on 2026-10-26. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceHiring Signalslinkedin-scam-detector
Community marketplace kiskecske24/hiring-signals-mcp Removed on 2026-10-15
Version: 1.0.0
Forks (GitHub): 0
Stars (GitHub): 0
Not marked · First seen
Not listed
Claude Code: claude-plugins-community Not listed Listed
Version: 6a69d05
Forks (GitHub): 0
Stars (GitHub): 1
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

Hiring Signals vs linkedin-scam-detector
FactHiring Signalsno longer listed · linkedin-scam-detector
Marketplaces that list it (differs)01
Stars (GitHub) (differs)01
Forks (GitHub)00
Last releaseNot publishedNot published
Where it runs (differs)Remote server (mcp.apify.com)Installs as a plugin bundle
Transport (differs)Streamable HTTPNot stated
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Parts of the bundle (differs)21
Licence (differs)MITNot stated
Repository (differs)github.com/kiskecske24/hiring-signals-mcpgithub.com/oopsyz/linkedin-scam-detector
Changes in the last 7 days00
First seen (differs)2026-10-132026-10-11

Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.

What to use instead of Hiring Signals

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

Its card, with similar plugins by marketplace

What each says it does

Hiring Signals

In its own words, on Community GitHub marketplaces:

Live job openings from Workday, Greenhouse, Lever, Ashby, Workable, Recruitee and Personio career sites via Apify.

linkedin-scam-detector

In its own words, on Claude Code: claude-plugins-community:

Detect fake recruiter emails and job offer scams. Requires Claude Code and the Claude in Chrome extension. Opens your email in the browser, analyzes the message, verifies the sender domain and email format against company directories, checks the recruiter's LinkedIn profile directly, searches for the job posting on the company's careers page, and finds a verified phone number to call back — with warnings about spoofed caller ID.

How to run each

Hiring Signals

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

linkedin-scam-detector As a Claude Code plugin

Claude Code
/plugin marketplace add anthropics/claude-plugins-community
/plugin install linkedin-scam-detector@claude-community

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

Neither one's marketplaces publish the settings it asks for.

What it can do: Hiring Signals · What it can do: linkedin-scam-detector · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built