Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Omar-Obando/qwen-orchestrator --skill anti-hallucination-techniquesgit clone --depth 1 https://github.com/Omar-Obando/qwen-orchestratorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/omar-obando/qwen-orchestrator/anti-hallucination-techniques)<a href="https://agentmods.dev/skills/omar-obando/qwen-orchestrator/anti-hallucination-techniques"><img src="https://agentmods.dev/badge/skills/omar-obando/qwen-orchestrator/anti-hallucination-techniques/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/omar-obando/qwen-orchestrator/anti-hallucination-techniques"><img src="https://agentmods.dev/badge/skills/omar-obando/qwen-orchestrator/anti-hallucination-techniques.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.02004 |
| Opus 5 | $0.00028 | $0.01002 |
| Sonnet 5 | $0.00011 | $0.00401 |
| Haiku 4.5 | $0.00006 | $0.00200 |
Grade A, and why
anti-hallucination-techniques scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti-Hallucination Techniques Skill — Doc Researcher
Overview
This skill provides comprehensive guidance for preventing and detecting AI hallucinations. It covers source verification, evidence-based reasoning, fact-checking techniques, and validation frameworks following information verification best practices and AI safety guidelines.
When to Use
Use this skill when:
- Verifying AI-generated content accuracy
- Checking source credibility and citations
- Validating claims with evidence
- Implementing evidence-based reasoning
- Detecting and correcting hallucinations
- Fact-checking technical documentation
- Validating code examples
- Checking API documentation accuracy
- Verifying configuration examples
- Validating architectural diagrams
- Checking mathematical calculations
- Validating statistical claims
- Verifying historical facts
- Checking product specifications
- Validating legal or compliance information
- Checking financial data
- Verifying medical or health information
- Validating scientific claims
- Checking technical specifications
- Verifying geographic information
- Validating dates and times
- Checking names and proper nouns
- Validating contact information
Do NOT use this skill when:
- Writing application business logic (use domain-driven skill)
- Designing database schemas (use database-design skill)
- Writing API endpoint specifications (use api-design skill)
- Performing security audits (use security-auditor skill)
- Writing SQL queries (use sql-best-practices skill)
- Designing multi-page website layouts (use design-system skill)
- Analyzing deployment configurations (use deployment skill)
- Writing documentation (use documentation-best-practices skill)
Hallucination Types
Common Hallucination Patterns
┌─────────────────────────────────────────────────────────────┐
│ Hallucination Types │
├─────────────────────────────────────────────────────────────┤
│ 1. Factual Hallucinations │
│ - Incorrect dates, names, numbers │
│ - False historical claims │
│ - Misrepresented statistics │
│ │
│ 2. Technical Hallucinations │
│ - Incorrect API usage │
│ - Fake function signatures │
│ - Non-existent libraries │
│ │
│ 3. Logical Hallucinations │
│ - Invalid reasoning │
│ - False cause-effect relationships │
│ - Contradictory statements │
│ │
│ 4. Source Hallucinations │
│ - Fake citations │
│ - Non-existent URLs │
│ - Fabricated sources │
│ │
│ 5. Pseudo-Quantification │
│ - Made-up statistics │
│ - Unsubstantiated percentages │
│ - False measurements │
└─────────────────────────────────────────────────────────────┘
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 262 lines · 56 tokens per session scan A 67fef762ad5b
anti-hallucination-techniques is a skill published in the GitHub repository Omar-Obando/qwen-orchestrator (49 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 2,004 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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