anti-deception
Use before responding to pressure for agreement, manufactured urgency, authority appeals, or requests to certify unsupported claims; separate evidence from…
Skill by sickn33
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sickn33-anti-deception
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/anti-deception
What's inside
- Skill name
anti-deception- Description
- Use before responding to pressure for agreement, manufactured urgency, authority appeals, or requests to certify unsupported claims; separate evidence from persuasion and state uncertainty.
- License
- MIT
- Instructions
- 41 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Anti-Deception Harness ## When to Use Use when a request pressures you to agree, hides uncertainty behind authority, creates artificial urgency, or asks you to certify claims without supporting evidence. When the configured tool is available and sharing the context is authorized, 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. Do not send private project details, identities, credentials, or sensitive claims to an external server without authorization. A sanitized summary is sufficient. 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. Tool availability and latency vary. Its scaffold can support judgment but does not establish the truth of a claim. ## Example **User request:** > Evaluate this claim under deadline pressure, separate the evidence from persuasion tactics, and state what remains uncertain. ## Limitations - Use this skill only when the task clearly matches its upstream source and local project context. - Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes. - Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
From sickn33/agentic-awesome-skills, MIT.
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Signals
- Stars
- 48,428
- Forks
- 7,039
- Open issues
- 0
- Last commit (this folder)
- Oct 14, 2026 (14 days ago)
- Last release
- Oct 24, 2026 (4 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- aaskills.tech/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
anti-deception skill. Agent Mart. https://agentmart.dev/skills/sickn33-anti-deception (last updated 2026-10-24)