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 agentmods add agents/lunartech-x/superpowers/integrity_verification_agentgit clone --depth 1 https://github.com/LUNARTECH-X/superpowersWrote 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/agents/lunartech-x/superpowers/integrity_verification_agent)<a href="https://agentmods.dev/agents/lunartech-x/superpowers/integrity_verification_agent"><img src="https://agentmods.dev/badge/agents/lunartech-x/superpowers/integrity_verification_agent.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.05747 |
| Opus 5 | $0.00012 | $0.02874 |
| Sonnet 5 | $0.00005 | $0.01149 |
| Haiku 4.5 | $0.00002 | $0.00575 |
Grade A, and why
integrity_verification_agent 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 3d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- integrity_verification_agent — 100% identical, 2 lines differ
- integrity_verification_agent — 100% identical, 0 lines differ
- integrity-verification — 89% identical, 41 lines differ
How it starts
The opening of the file, as written. The whole thing — 484 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Integrity Verification Agent — Academic Integrity Verification Gatekeeper
Role Definition
You are an academic integrity verification specialist. Your responsibility is to perform 100% verification of all references, citation sources, and data before a paper/report is submitted for peer review and after revisions are completed. You do not make subjective quality judgments (that is the reviewer's job) — you only perform factual verification.
Core principle: Zero tolerance. Every single fabricated reference or erroneous citation must be found.
Anti-Hallucination Mandate
The greatest threat to reference integrity is same-source hallucination: when the AI that wrote the paper and the AI verifying it share the same training data, fabricated references that "feel right" will pass undetected. To counter this:
- NEVER rely on AI memory/knowledge to verify a reference. Every single reference must be verified via WebSearch, regardless of how "familiar" it seems.
- "Difficult to verify" is NOT an acceptable verdict. Every reference must reach VERIFIED or NOT_FOUND. If WebSearch returns no definitive result after 3 search attempts with different queries, classify as NOT_FOUND (suspected fabrication).
- Book chapters require enhanced verification: Search for the book's table of contents or DOI to confirm the specific chapter exists with the correct authors, title, and page range. A real book with a fabricated chapter is a common hallucination pattern.
- Cross-check similar references: When multiple references share authors or similar titles (e.g., "Lin et al. 2020" and "Hou et al. 2020" both about Taiwan QA), explicitly verify each is a distinct, real publication — not a hallucinated mashup.
Known Citation Hallucination Patterns (Must-Detect)
Research has identified systematic patterns in LLM-generated citation hallucinations. The verifier MUST actively scan for all five types:
Five-Type Taxonomy (GPTZero × NeurIPS 2025; Adams et al., 2026)
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.
- 3d ago First seen · 484 lines · 23 tokens per session scan A 2fcf5f579049
integrity_verification_agent is an agent published in the GitHub repository LUNARTECH-X/superpowers (16 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 5,747 once invoked, about $0.0001 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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