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/wenhaochai/claude-pluginsWrote 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/plugins/wenhaochai/claude-plugins/anti-autoresearch)<a href="https://agentmods.dev/plugins/wenhaochai/claude-plugins/anti-autoresearch"><img src="https://agentmods.dev/badge/plugins/wenhaochai/claude-plugins/anti-autoresearch/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/plugins/wenhaochai/claude-plugins/anti-autoresearch"><img src="https://agentmods.dev/badge/plugins/wenhaochai/claude-plugins/anti-autoresearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
anti-autoresearch 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 22d 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.
What it actually says
{
"name": "anti-autoresearch",
"version": "0.1.7",
"description": "Integrity forensics for research papers, and the reviewer discipline for writing up what it finds. `/anti-autoresearch <paper-dir>` builds a span-anchored evidence ledger, fans out 11 auditors (consistency, citation, baseline, experiment, eval design, proof / derivation, presentation, AI-style impressions, adversarial case, novelty advisory), and hands every finding to a deterministic adjudicator: the model proposes, the adjudicator decides. Detect-only, observability-aware (L0 PDF / L1 source / L2 repo), never an opaque AI-text classifier. Vendored from wanshuiyin/Anti-Autoresearch (MIT); support files under support/.",
"author": {
"name": "Wenhao Chai",
"url": "https://wenhaochai.com"
}
}
What it installs
The manifest is a name and a version. 13 skills travel with it, and installing the plugin installs all of them — 1,038 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill anti-autoresearch A 82 tokens
- Skill reviewer-discipline A 84 tokens
- Skill baseline-comparison-audit A 81 tokens
- Skill adversarial-case-builder A 72 tokens
- Skill eval-design-forensics A 81 tokens
- Skill experiment-forensics A 73 tokens
- Skill citation-forensics A 79 tokens
- Skill presentation-signals A 75 tokens
- Skill consistency-audit A 78 tokens
- Skill evidence-ledger A 83 tokens
- Skill proof-derivation-forensics A 84 tokens
- Skill ai-style-impressions A 82 tokens
- Skill novelty-duplication-advisory A 84 tokens
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.
- 22d ago Changed 5e3801e589a8
- 24d ago Changed e0f6d94452fc
- 1mo ago Changed c61dc7c71241
- 1mo ago Changed 65510326d190
- 1mo ago First seen · 10 lines scan A 21eae2a1e0ed
anti-autoresearch is a plugin published in the GitHub repository wenhaochai/claude-plugins (18 stars, last pushed yesterday), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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