life.pjq/pjq

MCPcommunity
v1.0.0life.pjqUnknownUpdated 23d agoGitHub

Observatory of public media reception: classify YouTube comments for mood, support and controversy.

A seismograph for public opinion. PJQ measures how an audience actually received a piece of media — separating genuine opinion from fan noise, bots, Live: pjq.life · License: Apache-2.0 PJQ takes the URL of a piece of content (YouTube today; Reddit, Telegram, and News next), samples the comments under it, and classifies every comment against a 7-category stance rubric. The output is a verdict: a…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
23d agoLast update
Package
Authorlife.pjq
LicenseUnknown
Version1.0.0
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · not run+0/30
Not yet scanned — package must be on npm
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ CleanvHEAD · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

A seismograph for public opinion. PJQ measures how an audience actually received a piece of media — separating genuine opinion from fan noise, bots, Live: pjq.life · License: Apache-2.0 PJQ takes the URL of a piece of content (YouTube today; Reddit, Telegram, and News next), samples the comments under it, and classifies every comment against a 7-category stance rubric. The output is a verdict: a numeric reception score () plus a structured breakdown — how many people substantively agreed, how…

Keywords
mcp