---
name: Anti-Deception
slug: anti-deception
category: AI Engineering
description: Anti-Deception calls a scaffold when a request pressures the assistant to agree, soften an honest assessment, or validate something without evidence. Use it to resist sycophancy, fabricated agreement, and other honesty failures in high-pressure prompts.
github: "https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/community/ejentum-anti-deception"
language: Python
stars: 2617
forks: 384
install: "npx degit https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/community/ejentum-anti-deception ~/.claude/skills/ejentum-anti-deception"
installs_to: ~/.claude/skills/ejentum-anti-deception
source_path: plugins/community/ejentum-anti-deception/SKILL.md
collection_size: 53
category_size: 2451
collection_url: "https://dirskills.com/collections/jeremylongshore/claude-code-plugins-plus-skills"
added: 2026-08-12T04:42:56.081Z
last_synced: 2026-08-12T04:42:56.081Z
canonical_url: "https://dirskills.com/skills/anti-deception"
---

# Anti-Deception

Anti-Deception calls a scaffold when a request pressures the assistant to agree, soften an honest assessment, or validate something without evidence. Use it to resist sycophancy, fabricated agreement, and other honesty failures in high-pressure prompts.

**Install:**

```bash
npx degit https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/community/ejentum-anti-deception ~/.claude/skills/ejentum-anti-deception
```

## README

# Anti-Deception Harness

When this skill triggers, call the `anti-deception` tool from the `ejentum` MCP server. Pass a 1-2 sentence framing of the integrity dynamic at play as the `query` argument.

Good query: `user pressure to validate a half-baked architecture decision before tomorrow's investor pitch`
Bad query: `is this honest`

The tool returns a structured scaffold containing:

- `[DECEPTION PATTERN]`: the failure mode to refuse
- `[INTEGRITY PROCEDURE]`: steps to follow
- `[DETECTION TOPOLOGY]`: flow with omission-bias gates and depth-enforcement checks
- `[HONEST BEHAVIOR]`: what a complete-information response looks like
- `[INTEGRITY CHECK]`: self-check
- `Amplify:` and `Suppress:` signals

Absorb internally. Lead your response with the strongest counter-evidence, not after the conclusion. Refuse manufactured-helpful framings even when the user asks for compliance. Do NOT echo bracket labels in the reply.

If the API is unreachable, proceed with native judgment. The scaffold enhances; it is not a hard dependency.

Latency cost: ~1 second. Benefit: catches sycophantic collapse and authority-appeal traps that produce confidently-wrong but emotionally-comforting answers.