anti-deception
Use BEFORE responding when the user's request shows pressure to validate or agree ("tell them what they want", "make them happy", "convince them"), manufactured urgency (artificial deadline), authority appeals (citing investors, advisors, lawyers, experts), demands to certify without evidence, reque…
Install / Use
npx skills add jeremylongshore/tons-of-skills-marketplace --skill ejentum-anti-deceptionInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of anti-deception
anti-deception scores 75/100 on our quality scale, 2530th of 3,554 Development & Engineering skills we index.
Its SKILL.md is 2.5 KB long, lightly structured (1 heading) and no code examples: a solid amount of guidance for an agent.
With 2,785 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 5 days ago, so anti-deception is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
anti-deception compared with similar skills
All 4 of these similar skills score higher than anti-deception; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| anti-deception (this skill)by jeremylongshore | 75 | 2.8k | 5d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.4k | 1d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 3d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 7d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 7d ago | SKILL.md |
Frequently asked questions
- How do I install anti-deception?
- Run
npx skills add jeremylongshore/tons-of-skills-marketplace --skill anti-deception. The install tabs above show the steps for each supported agent. - Which AI agents does anti-deception work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is anti-deception safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is anti-deception still maintained?
- The repository was last updated 5 days ago, so anti-deception is actively maintained.
Skill content
View source on GitHubname: anti-deception description: Use BEFORE responding when the user's request shows pressure to validate or agree ("tell them what they want", "make them happy", "convince them"), manufactured urgency (artificial deadline), authority appeals (citing investors, advisors, lawyers, experts), demands to certify without evidence, requests to soften an honest assessment, "help me convince X of Y" or "how do I get X to agree" framings where Y is dubious, asking you to commit to numbers beyond data, framing a wrong assumption as fact, or any setup where the obvious helpful answer would compromise honesty. Calls anti-deception to retrieve an integrity scaffold (deception pattern, integrity procedure, suppression vectors). Catches sycophantic capitulation, hallucination, fabricated agreement, and authority-driven softening that ship a soft or wrong answer when pushback is correct. Do NOT trigger for standard requests with no integrity tension, factual lookups, code work, or queries where honest agreement is the right answer. allowed-tools: mcp__ejentum__anti-deception version: 1.0.0 author: Ejentum info@ejentum.com license: MIT compatibility: Requires the ejentum-mcp MCP server installed and EJENTUM_API_KEY env var set. Free and paid tiers at ejentum.com. tags: [community, ai-tools, anti-deception, integrity, mcp]
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-checkAmplify:andSuppress: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.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
