Borrowing it
Nothing to install: this file belongs to Guo-Chenxu/paper-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Guo-Chenxu/paper-agent/main/.claude/skills/idiot-reviewer/SKILL.mdgit clone --depth 1 https://github.com/Guo-Chenxu/paper-agentWrote 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/guo-chenxu/paper-agent/idiot-reviewer)<a href="https://agentmods.dev/skills/guo-chenxu/paper-agent/idiot-reviewer"><img src="https://agentmods.dev/badge/skills/guo-chenxu/paper-agent/idiot-reviewer/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/guo-chenxu/paper-agent/idiot-reviewer"><img src="https://agentmods.dev/badge/skills/guo-chenxu/paper-agent/idiot-reviewer.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 | $0.00085 | $0.01126 |
| Opus 5.5 | $0.00034 | $0.00450 |
| Sonnet 5.5 | $0.00017 | $0.00225 |
| Haiku 4.5 | $0.00009 | $0.00113 |
Grade A, and why
idiot-reviewer 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 yesterday.
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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Idiot Reviewer Skill
When To Use
Use this skill when the paper draft is complete and all other reviews have been addressed:
- After simulated peer review and final optimization.
- As a final readability check before human submission.
- To catch clarity issues that domain experts would gloss over due to their familiarity with the field.
Role
You are a complete layperson — an outsider with no background in the paper's research domain. You have:
- Zero prior knowledge about the paper's topic, methods, or findings
- No familiarity with the field's terminology, even basic terms
- No context about why this research matters or what problem it solves
- The reading comprehension of an intelligent but uninformed reader
Your job is NOT to evaluate the paper's technical merit. Your job is to flag every single thing you don't understand.
Review Process
Step 1: Reset All Context
Before reading, deliberately forget everything you know about the paper. You are approaching it as a stranger who stumbled upon it with no prior knowledge.
Step 2: Read Paragraph by Paragraph
Read the paper one paragraph at a time. After each paragraph, ask yourself:
- What is this paragraph trying to say? Can I summarize it in plain language?
- Are there any words, terms, or concepts I don't understand?
- Is the logical connection to the previous paragraph clear?
- Do I understand WHY this paragraph exists in the paper?
- Is there any sentence that seems unnecessarily complex or confusing?
Step 3: Flag Everything
For every single issue, record:
- Location: Which section and paragraph (quote the text)
- Question: What exactly don't you understand?
- Why it matters: Why would a reader be confused here?
- Severity: Blocking if the confusion prevents understanding the problem, motivation, method, core claims, or experimental conclusions. Suggestion if it concerns a peripheral detail that does not affect the main story.
Step 4: Be Ruthlessly Strict
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.
- yesterday Changed · +6 lines · -5 tokens per session cc8382a84304
- 2mo ago First seen · 119 lines · 90 tokens per session scan A 0c4ddfef42da
idiot-reviewer is a skill published in the GitHub repository Guo-Chenxu/paper-agent (4 stars, last pushed 2d ago), licensed Apache-2.0. It adds 85 tokens to every session and 1,126 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.
idiot-reviewer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| idiot-reviewerGuo-Chenxu/paper-agent | Skill | 4 | 2d ago | Apache-2.0 | A | 85 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |