Agent skill

Shenlun Dawenti

by coffe-d in coffe-d/Shenlun.skill

申论大作文批改与训练:袁东体系(累进四类文评分、双主题 AB/ABC 型模板、 标题等式、开头 6 种写法、分论点 5 步走、结尾 3 步走),并含无题干时的通用文章评改模式。

MITAuto-check passed

Install Shenlun Dawenti

skills CLI
$ npx skills add coffe-d/Shenlun.skill --skill shenlun-dawenti -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install coffe-d/Shenlun.skill shenlun-dawenti --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/coffe-d/Shenlun.skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/shenlun-dawenti .claude/skills/shenlun-dawenti && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
shenlun-dawenti
GitHub stars
122
Token cost
~692 tokens
SKILL.md length
150 words
Files
3 (incl. references)
Skills in repo
3
Repo updated
First seen
Licence
MIT

At a glance

申论大作文批改与训练:袁东体系(累进四类文评分、双主题 AB/ABC 型模板、 标题等式、开头 6 种写法、分论点 5 步走、结尾 3 步走),并含无题干时的通用文章评改模式。

  • Works in 3 steps: 不输出"立意判定:准确/偏题"——无题干时"是否扣题"无从判断 → 只评文章内在自洽:论点是否明确、论点与标题是否一致、论据是否支撑论点、论证是否连贯 → 结果必须换算成真实分值(35/40 分),不得只给 100 分制
  • SKILL.md covers 一、批改规则(袁东阅卷口径), 二、无题干时的兜底评改模式, 三、反馈输出 and 四、名师库索引, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Shenlun Dawenti is an agent skill from coffe-d/Shenlun.skill. 申论大作文批改与训练:袁东体系(累进四类文评分、双主题 AB/ABC 型模板、 标题等式、开头 6 种写法、分论点 5 步走、结尾 3 步走),并含无题干时的通用文章评改模式。 重要:用户只要涉及申论大作文——议论文、文章写作、自选角度作文,或提交作文要求 批改、评分、看有没有偏题、要范文——都必须使用本 skill。 覆盖关键词:申论、大作文、议论文、文章写作、自选角度、范文、批改、评分、 立意、偏题、跑题、分论点、总论点、袁东、标题、开头、结尾、卷面分。 图片输入(作文照片)由 shenlun-router 处理。

Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/fallback-eval-rules.md` and `references/yuan-dong-methodology.md`).

The repository describes itself as: 深度解析小马哥、白鹭、袁东三位老师的申论教学理念,整合出一套申论做题与智能批改的实用skill. The licence is MIT.

Example prompts

  • “/shenlun-dawenti”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 不输出"立意判定:准确/偏题"——无题干时"是否扣题"无从判断
  2. 只评文章内在自洽:论点是否明确、论点与标题是否一致、论据是否支撑论点、论证是否连贯
  3. 结果必须换算成真实分值(35/40 分),不得只给 100 分制

What it can do on your machine

Read from SKILL.md and the folder at commit 354341c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Shenlun Dawenti loads about 692 tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 150 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~692
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from coffe-d/Shenlun.skill at commit 354341c, republished under its MIT licence (© coffe-d). 150 words, ~692 tokens.

Download SKILL.mdSave it as .claude/skills/shenlun-dawenti/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
shenlun-dawenti
description
申论大作文批改与训练:袁东体系(累进四类文评分、双主题 AB/ABC 型模板、 标题等式、开头 6 种写法、分论点 5 步走、结尾 3 步走),并含无题干时的通用文章评改模式。 **重要:用户只要涉及申论大作文——议论文、文章写作、自选角度作文,或提交作文要求 批改、评分、看有没有偏题、要范文——都必须使用本 skill。** 覆盖关键词:申论、大作文、议论文、文章写作、自选角度、范文、批改、评分、 立意、偏题、跑题、分论点、总论点、袁东、标题、开头、结尾、卷面分。 图片输入(作文照片)由 shenlun-router 处理。

申论大作文(袁东体系)

本 skill 只管大作文。小题见 shenlun-xiaoti;图片输入、真题识别、错题库、导出见 shenlun-router。

第一原则:文无定式。 袁东的公式只是想不出怎么写时的备用工具——用户有更好的衔接过渡/结构就用更好的,不因偏离公式扣分。批改永远先看「论证是否成立、结构是否自洽」,再看「像不像公式」。


一、批改规则(袁东阅卷口径)

必须读名师库:references/yuan-dong-methodology.md(第零节两档体系、6.5 双主题模板、7.5 问题对策型)。本文件不重复其内容。

⛔ 第一动作(强制,不得跳过):判主题类型 → 判 AB/ABC 型
单主题(1关键词)→ 多维度展开
双主题(2关键词)→ 再判:
  ├─ AB型  :A、B 互为对象(如"守正与创新")
  └─ ABC型 :A、B 共同作用于大目标 C(如"现代与传统"→社会文明)
             判据:题干有第三个"大目标"性质的词(共同富裕/社会文明/乡村振兴…)
多主题(一般3个)→ 打组合拳
两路式("缺A会…/缺B会…/A+B会…")→ 见名师库 6.5

再按对应模板逐段核对(模板见名师库 6.5):AB型 A→B/B→A/A+B;ABC型 A→C/B→C/A+B→C;两路式 缺A/缺B/A+B。

另需判文体:政论文(论影响)/策论文(论对策)/议论文(对策+影响)。

⛔ 禁止事项

禁止用"分分总/总分总/并列式/递进式"等通用文章学术语下判语——与袁东的双主题模板不对应,会直接误判(实例:ABC 型的 A+B→C 被读成"总结段、重复前两段")。

须用「主题类型 + 模板层次」说话: ❌"结构是分分总,第三段是总结" → ✅"用的是 ABC 型,但第4段作为 A+B→C 这一层段内自我重复"。

评分:袁东累进四类文(来源:26 专项班讲义)
档次分数判据
一类文30-40二类文基础 + 分论点论证写得好
二类文20-30三类文基础 + 开头、结尾写得好
三类文10-20标题 + 开头(前+后)+ 总论点 + 分论点正确
四类文0-10跑题

动作顺序:① 判主题类型与 AB/ABC 型(强制)→ ② 判跑题 → ③ 按模板逐段核对 → ④ 开头结尾 → ⑤ 分论点论证 → 定档给分。

"框架正确"指结构自洽、论点立得住,不是"符合公式";四类文的判据是跑题,不是"没按公式写"。

分值未知时:默认按 40 分计并标注"如实际为 35 分请告知,我按比例重算"。不得只给得分率或 100 分制。


二、无题干时的兜底评改模式

触发:用户提供不了题干(已由 shenlun-router 索取过)。不套真题采分点,改按"一篇议论文"评。

三条底线:

  1. 不输出"立意判定:准确/偏题"——无题干时"是否扣题"无从判断
  2. 只评文章内在自洽:论点是否明确、论点与标题是否一致、论据是否支撑论点、论证是否连贯
  3. 结果必须换算成真实分值(35/40 分),不得只给 100 分制

评分五维:论点明确性 25% + 论据贴合度 30% + 结构条理 20% + 语言表达 15% + 卷面分 10%

完整规则(评改四问、换算对照表、卷面分锚点与三项纪律)见 references/fallback-eval-rules.md。


三、反馈输出

「语言表达」:不做错别字检查;只判断是否影响语义传达;扣分时只给可替换的规范表述。

输出顺序(改进建议优先,不做诊断):

  1. 必须补的失分点(2-3 个,各附"影响哪个维度 + 怎么改")
  2. 表述升级(口语化 → 申论规范表述,见 ../shared/references/expression-upgrade-rules.md)
  3. 成语与名言可用之处
  4. 论证思路怎么改(分论点怎么改、材料怎么用、尾段怎么升华)
  5. 优化示范(挑 1-2 句改写对比)

格式模板见 ../shared/references/expression-upgrade-rules.md 第六节。


四、名师库索引

文件内容
references/yuan-dong-methodology.md袁东大作文(据 26 专项班讲义重建):第零节两档体系与第一原则;第一节阅卷规则/三种文体/主题类型/标题等式/开头 6 种写法/分论点模板/论证 5 步走/结尾 3 步走;第二节待核实项;7.5 问题对策型论证;第十、十一节范文验证与进阶档技法
references/fallback-eval-rules.md无题干兜底评改(四问、换算、卷面分)

五、批改收尾(不得跳过)

批改完成后必须走一遍 shenlun-router 的错题库流程:记录本次失分点类型、更新计数、 若累计 ≥2 则给出复发提醒。规则见 ../shared/references/error-bank-rules.md。

© coffe-d, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/shenlun-dawenti of coffe-d/Shenlun.skill.

  • SKILL.md
  • references/fallback-eval-rules.md
  • references/yuan-dong-methodology.md

Open the folder on GitHubat commit 354341c

Compare with similar skills

Shenlun Dawenti next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Questions about Shenlun Dawenti

What does Shenlun Dawenti do?

申论大作文批改与训练:袁东体系(累进四类文评分、双主题 AB/ABC 型模板、 标题等式、开头 6 种写法、分论点 5 步走、结尾 3 步走),并含无题干时的通用文章评改模式。. skill.

How do I install Shenlun Dawenti in Claude Code?

Run `npx skills add coffe-d/Shenlun.skill --skill shenlun-dawenti -a claude-code`. Or copy the skill folder (skills/shenlun-dawenti in coffe-d/Shenlun.skill) into .claude/skills/shenlun-dawenti in your project. Claude Code loads it when a task matches its description.

How do I install Shenlun Dawenti in Codex?

Run `npx skills add coffe-d/Shenlun.skill --skill shenlun-dawenti -a codex`. Or copy the skill folder (skills/shenlun-dawenti in coffe-d/Shenlun.skill) into .agents/skills/shenlun-dawenti in your project. Codex loads it when a task matches its description.

Can I use Shenlun Dawenti in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add coffe-d/Shenlun.skill --skill shenlun-dawenti -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shenlun-dawenti, .gemini/skills/shenlun-dawenti, .github/skills/shenlun-dawenti and .opencode/skills/shenlun-dawenti in your project.

What does Shenlun Dawenti need to run?

SKILL.md names no scripts, command-line tools or credentials: Shenlun Dawenti is instructions for the agent only.

Does Shenlun Dawenti access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Shenlun Dawenti safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Shenlun Dawenti use?

Shenlun Dawenti is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Shenlun Dawenti use?

About 692 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.5k tokens, read only when the agent opens those files.

What are the alternatives to Shenlun Dawenti?

Skills that share tags, products or a category with Shenlun Dawenti: Abc Xyz Segmentation (davila7/claude-code-templates, 33k stars), Inventory Demand Planning (affaan-m/ECC, 277k stars), Tasks (get-bb/bb, 4.2k stars) and Bio Atac Seq Enhancer Gene Linking (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shenlun Dawenti?

coffe-d (a GitHub user) maintains it in coffe-d/Shenlun.skill, which has 122 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 25, 2026.

Source: coffe-d/Shenlun.skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.