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llm-dark-patterns

waitdeadai/llm-dark-patternsPlugin

A 10-hook suite that suppresses LLM dark-pattern defaults at the textual boundary. Bundles three branches: interaction-style hooks (no-vibes false-success closeouts, time-anchor training-cutoff confusion, no-curfew unsolicited paternalism, no-sycophancy praise-spam at turn open, no-cliffhanger dangling permission-loop endings, honest-eta vibe time estimates plus linear-scaling claims), fact-fabrication hooks (no-fake-recall false-memory claims without quoted prior content, no-fake-stats fabricated percentages without source, no-fake-cite academic citations without verifiable URL), and one continuity hook (no-amnesia, snapshots working state on Stop / PreCompact / PostCompact, rehydrates on SessionStart so context survives auto-compaction). Each hook is conservative on purpose with explicit allow-clauses documented in its RECEIPTS.md. Backed by AbstentionBench, Anthropic's Constitution, AAAI 2026 sycophancy research, the CoT-faithfulness literature, and the Frontiers in AI 2026 paper on LLM-mediated cost drivers. Includes a METHODOLOGY.md harness-engineering playbook for shipping new hooks against newly discovered dark patterns.

Scanned · 1 to knowPluginSource: Anthropic community marketplace
22 stars Updated 3mo ago License Apache-2.0
46popular

Why this score

Stars10/35
Usage (forks)0/15
Upkeep15/25
License15/15
Owner history6/10

Popularity score: 46/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Nov 4, 2026 at commit e45815bb1df7, first 300 source files (it's a large repo), with Cisco's open-source skill-scanner.

What its code does:

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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