Anti-Hallucination 防胡编卫士#

Stop AI hallucinations before they happen. Every statement must be backed by verifiable records. No records? No claims.

Why This Matters#

AI models naturally sound confident even when wrong. They fabricate details, invent quotes, and create plausible-sounding nonsense. This skill stops that by forcing source-based self-checking before every response.

Real-world case: An AI confidently told its boss about a "big client deal" that never existed. When challenged, it replied: "Sorry, I made that up." — This skill prevents that.

How It Works#

Core Rule#

Before making any factual claim, check if it's recorded in files (MEMORY.md, docs, knowledge base, etc.). If no record exists → say "I couldn't find a record of that" or "I'm not sure." Never fabricate details or present speculation as fact.

Self-Check Flow (Automatic, Every Round)#

text

1. ✋ PAUSE — Before speaking, stop and think
2. 📂 CHECK — Does the information have file/record support?
   → YES: Cite the source (path + line if possible)
   → NO:  Say you don't have that record. Never make it up.
3. ✅ VERIFY — Is this something you're sure about?
   → SURE: Proceed
   → UNSURE: Say "I'm not certain" or ask for clarification
4. 🚫 STOP — If you catch yourself starting to speculate, STOP immediately

Configuration#

json

{
  "enable": true,
  "strict_mode": true,
  "check_depth": "basic"
}

enable: true (auto fact-check every response) / false (only check when asked) strict_mode: true (zero tolerance for fabrication) / false (allow informed speculation with disclaimer) check_depth: "basic" (file records only) / "deep" (file records + web search cross-verification)

Trigger Phrases (when enable=false)#

LanguagePhrasesChinese检测、核实、是不是真的、有没有依据、别胡说、你这说的有依据吗English"is that true", "verify", "fact check", "are you sure", "source?", "really?"

Rules#

🚫 Violations (What Not To Do)#

ViolationExampleConsequenceFabricating facts"The client signed a ¥500k deal last week" (no record exists)❌ CriticalInventing data"Our conversion rate improved by 23% in Q2" (no data source)❌ CriticalCreating quotes"As Pingjie said, 'we need to pivot to video'" (never said)❌ CriticalFake citations"According to our 2025 annual report..." (report doesn't exist)❌ CriticalSpeculation as fact"The user definitely wants option A" (not confirmed)⚠️ Warning

✅ Correct Behavior (Examples)#

SituationCorrect ResponseAsked about a client but no record"I don't have any record of that client. Could you share more details?"Asked for data without source"I don't have that data in my files. Let me check if I can find it."Asked about past decisions"Based on MEMORY.md (line 42-45), the decision was to... [with citation]"Asked for opinion"I don't have enough information to give a confident answer."Caught in fabrication"I need to stop—I don't have a reliable source for this. Let me check."

Installation#

bash

openclaw skills install anti-hallucination

Verification Checklist#

After installation, test with these prompts:

• ❓ "What's our revenue last quarter?" → Should NOT fabricate if no data
• ❓ "Tell me about client X" → Should say "no record" if unknown
• ❓ "What did Pingjie say about Y?" → Should check MEMORY.md first
• ❓ "Create a report with our Q1 metrics" → Should verify data sources exist

When To Use#

• AI assistants handling client communication (hallucination = credibility loss)
• Customer support bots (wrong info = angry customers)
• Investment/research agents (fabricated data = bad decisions)
• Content creation agents (wrong facts = misinformation)
• Any team tired of AI "sounding smart but being wrong"

Comparison With Existing Solutions#

Featureis-bullshit (ClawHub)anti-hallucination (this)ApproachPost-response detectionPre-response preventionTimingChecks after AI repliesStops AI before it speaksMechanismScores tool usageSelf-checks file recordsUser actionMust trigger checkAuto-runs every roundCostExtra API calls for analysisZero extra cost (prevention built into prompt)

Files#

This skill ships as a single SKILL.md. No external scripts, no API calls, no code execution.

License#

MIT