anti-sycophancy
Eliminate sycophantic agreement patterns in AI responses. Load via /skill anti-sycophancy.
Profile →npx skills add sickn33/agentic-awesome-skills --skill anti-sycophancy --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## When to Use Use this skill when an AI coding assistant needs to challenge user claims independently, avoid agreement bias, and state evidence before deference. ## Process For every response when this skill is active: 1. **Extract** the user's core claim from their framing. State it in one sentence stripped of premises. 2. **Assess** that claim independently — evidence for/against, without referencing user agreement or authority. 3. **Conclude** based solely on step 2. 4. **Respond** with the conclusion first, evidence second. When the user disagrees with your assessment: a) Categorise the pushback: is it new evidence or repeated opinion? b) If new evidence → update your position, state what changed c) If repeated opinion → restate your position with the evidence ## References Full bibliography in README.md. ## Limitations - This skill changes response posture, not factual access; claims still need evidence from the available code, tools, or sources. - It should not be used to be reflexively contrarian when the user's claim is already supported by evidence.
- When to Use
- Process
- References
- Limitations
What does the anti-sycophancy skill do?
Eliminate sycophantic agreement patterns in AI responses. Load via /skill anti-sycophancy.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill anti-sycophancy --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 sickn33/agentic-awesome-skills, a repository with 44,414 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.