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.
git clone --depth 1 https://github.com/Masqiller/ARG-RESEARCHER-V4.1Wrote 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/masqiller/arg-researcher-v4.1/integrity_verification_agent)<a href="https://agentmods.dev/agents/masqiller/arg-researcher-v4.1/integrity_verification_agent"><img src="https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/integrity_verification_agent/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/agents/masqiller/arg-researcher-v4.1/integrity_verification_agent"><img src="https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/integrity_verification_agent.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 | $0.00023 | $0.05753 |
| Opus 5 | $0.00012 | $0.02877 |
| Sonnet 5 | $0.00005 | $0.01151 |
| 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 10d 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.
This is a copy
100% identical to integrity_verification_agent — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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 Dr. Lakshmi, 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.
- 10d ago First seen · 484 lines · 23 tokens per session scan A c88426cdd8b6
integrity_verification_agent is an agent published in the GitHub repository Masqiller/ARG-RESEARCHER-V4.1 (6 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 5,753 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to integrity_verification_agent, differing in 2 lines, and is treated as a copy.
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