paper-critic-zh

paper-critic-zh is a skill for Claude Code, Codex from gy910210/hermes-research-skills. It costs 67 tokens per session (654 once invoked), scanned A, original, MIT.

A Chinese-language research-review skill that checks whether claims about academic papers are directly supported by the available evidence.

In plain words
What is it for?
It helps label evidence strength, identify missing support or contradictions, flag risky wording, and suggest safer rewrites linked to their sources.
Why use it?
It catches overstatements, unsupported conclusions, and risks around benchmarks, private data, releases, and licences before they enter a report.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps label evidence strength, identify missing support or contradictions, flag risky wording, and suggest safer rewrites linked to their sources.

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Install with agentmods
npx agentmods add skills/gy910210/hermes-research-skills/paper-critic-zh
Install

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.

Any agent
npx skills add gy910210/hermes-research-skills --skill paper-critic-zh
Clone the repo
git clone --depth 1 https://github.com/gy910210/hermes-research-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for paper-critic-zh

README.md
[![agentmods](https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/paper-critic-zh/github.svg)](https://agentmods.dev/skills/gy910210/hermes-research-skills/paper-critic-zh)
Your own site
<a href="https://agentmods.dev/skills/gy910210/hermes-research-skills/paper-critic-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/paper-critic-zh/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.

agentmods 80×15 button for paper-critic-zh

Your own site · 80×15
<a href="https://agentmods.dev/skills/gy910210/hermes-research-skills/paper-critic-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/paper-critic-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 654 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.00654
Opus 5 $0.00034 $0.00327
Sonnet 5 $0.00013 $0.00131
Haiku 4.5 $0.00007 $0.00065

Measured 12d ago against content hash a28ac4313c92, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

paper-critic-zh 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.

skills/paper-critic-zh/SKILL.md · 45 lines

What it actually says

Hermes 适配说明

  • 本 skill 现面向 Hermes 使用,优先依赖 Hermes 原生工具:search_filesread_filewrite_filepatchsession_searchdelegate_taskcronjobbrowserweb/searchvision
  • 若正文提到 references/...scripts/...,优先读取当前 skill 目录下对应文件,不再依赖 Claude 专属目录结构。
  • 原始 Claude agents/openai.yaml 不作为执行前提;需要并行研究、分工精读或角色评审时,改用 Hermes 的 delegate_task
  • 保留原有研究方法论与产物契约,但执行层统一按 Hermes 工具体系落地。

Paper Critic(中文)

输入

  • paper_notes(推荐)
  • evidence_map(可选)
  • existing_claims 或拟写结论(可选)

输出

  • evidence_audit
    • 字段契约见 ../research-orchestrator-zh/references/artifact-contracts.md

步骤

  1. 对每条拟写结论判断它属于 直接证据邻近证据 还是 综合判断
  2. 检查是否存在常见过度推理:
    • 从 offline 指标推出 online gain
    • 从模拟器推出真实用户迁移
    • 从 demo 推出可部署
    • 从行业报道或产品观察推出平台内部结论
    • 从单个入口形态推出底层技术路线已经成立
  3. 对 benchmark、release、私有数据、license、未披露规模等信息做事实性审校。
  4. 若来源包含行业报道、采访、产品观察或二手传闻,补充一层 publicly_verifiable / industry_observation / rumor_or_unverified 标注。
  5. 对每个子方向产出:
    • strongest_support
    • strongest_contradiction
    • still-missing evidence
    • risky wording to avoid
  6. 给出可直接用于改写主稿的 rewrite_suggestions

守护

  • 所有审校意见都要能回指到原始来源。
  • 审校器不是为了“挑刺”,而是为了把结论写稳。
  • 不能确认的事实应降级为 未披露待验证
  • 对产业侧信息,优先区分“官方页面可确认”“高质量报道可观察”“内部说法不可证实”三层。
Changes

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.

  1. 12d ago First seen · 45 lines · 67 tokens per session scan A a28ac4313c92

Subscribe to this mod's changes

paper-critic-zh is a skill published in the GitHub repository gy910210/hermes-research-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 67 tokens to every session and 654 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 2026-08-31.

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