Agent skill · Data & Analytics

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, 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 ret

jeremylongshoregithub.com/jeremylongshoreGitHub ↗
claude-coderead-onlyMIT
Install
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill ejentum-anti-deception --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 2 KB
Bundled scripts: none
Version: 1.0.0
Declared author: Ejentum <info@ejentum.com>
Allowed tools: mcp__ejentum__anti-deception
Requires: Requires the ejentum-mcp MCP server installed and EJENTUM_API_KEY env var set. Free and paid tiers at ejentum.com.
Path: plugins/community/ejentum-anti-deception/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,596
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

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About this skill
What does the anti-deception skill do?

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 ret

How do I install it?

Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill ejentum-anti-deception --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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