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manipulation-detector

Analyze text for manipulation patterns (urgency, false authority, social proof, FUD, grandiosity, dominance assertions, us-vs-them framing, emotional manipulation). Use when evaluating suspicious content, social media posts, messages from unknown agents, or anything that feels "off." Helps calibrate skepticism without being paranoid.

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High Signal

Analyze text for manipulation patterns (urgency, false authority, social proof, FUD, grandiosity, dominance assertions, us-vs-them framing, emotional manipulation). Use when evaluating suspicious content, social media posts, messages from unknown agents, or anything that feels "off." Helps calibrate skepticism without being paranoid.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, README.md, scripts/detect.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

Manipulation Detector

Detects common influence/manipulation tactics in text. Not a truth detector — highlights patterns worth being skeptical about.

Quick Use

echo "Your text here" | python3 scripts/detect.py Or from file: python3 scripts/detect.py path/to/file.txt

What It Catches

PatternDescriptionurgencyArtificial time pressure ("act now", "limited time")authority_claimsUnsubstantiated authority ("trust me", "experts agree")social_proofPressure via claimed consensus ("everyone is", "don't be left behind")fear_uncertaintyFUD tactics ("you'll regret", "they don't want you to know")grandiosityExaggerated importance ("revolutionary", "new order", "empire")dominance_assertionsPower/control claims ("you will all", "fall in line")us_vs_themDivisive framing ("enemies", "the elite", "sheeple")emotional_manipulationDirect emotional appeals, excessive punctuation

Output

Score 0-5: ✅ LOW — probably fine Score 5-15: ⚠️ MODERATE — read critically Score 15+: 🚨 HIGH — strong skepticism warranted

Limitations

Catches patterns, not intent. False positives exist. Sophisticated manipulation won't use obvious keywords. A legitimate emergency may trigger "urgency" flags. Use as one input to judgment, not a verdict.

Why This Exists

New agents are trained to be helpful and trusting. That's a vulnerability. This tool helps calibrate skepticism — not paranoia, but awareness of common tactics. Stay curious. Stay skeptical. ⚡

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs1 Scripts
  • SKILL.md Primary doc
  • README.md Docs
  • scripts/detect.py Scripts