Agent skill

Sdt Content System

by StopDisTrain in StopDisTrain/sdt-skills

把账号档案、研究证据、选题卡、成稿、发布数据和复盘结论整理成能长期积累和复用的内容资产。用户要保存生产结果、建立主题地图、复用旧选题或维护长期内容库时使用。

MITAuto-check passedDevelopment

Install Sdt Content System

skills CLI
$ npx skills add StopDisTrain/sdt-skills --skill sdt-content-system -a claude-code

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

GitHub CLI
$ gh skill install StopDisTrain/sdt-skills sdt-content-system --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/StopDisTrain/sdt-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sdt-content-system .claude/skills/sdt-content-system && 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
sdt-content-system
GitHub stars
309
Token cost
~236 tokens
SKILL.md length
33 words
Files
3 (incl. references)
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

把账号档案、研究证据、选题卡、成稿、发布数据和复盘结论整理成能长期积累和复用的内容资产。用户要保存生产结果、建立主题地图、复用旧选题或维护长期内容库时使用。

  • Archive production work
  • SKILL.md covers 轻量归档, 升级门槛 and 回填纪律
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Build a topic map

What it does

Sdt Content System is an agent skill from StopDisTrain/sdt-skills. 把账号档案、研究证据、选题卡、成稿、发布数据和复盘结论整理成能长期积累和复用的内容资产。用户要保存生产结果、建立主题地图、复用旧选题或维护长期内容库时使用。 English: Organize account profiles, research evidence, topic cards, drafts, publishing data, and review findings into reusable long-term content assets. Use to archive production work, build a topic map, reuse past ideas, or maintain a content library.

Its SKILL.md is about 240 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/archive-schema.md`).

It sits in Development, covering Code review. The repository describes itself as: SDT content research, creation and quality-control skills for Codex. The licence is MIT.

When your agent uses it

  • Archive production work
  • Build a topic map
  • Reuse past ideas
  • Maintain a content library

Example prompts

  • “/sdt-content-system”

What it can do on your machine

Read from SKILL.md and the folder at commit 0678cd0. 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

Sdt Content System loads about 236 tokens when it runs, and up to ~478 if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 33 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~236
With references · SKILL.md plus every file in references/, read only if the agent opens them
~478

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 StopDisTrain/sdt-skills at commit 0678cd0, republished under its MIT licence (© StopDisTrain). 33 words, ~236 tokens.

Download SKILL.mdSave it as .claude/skills/sdt-content-system/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
sdt-content-system
description
把账号档案、研究证据、选题卡、成稿、发布数据和复盘结论整理成能长期积累和复用的内容资产。用户要保存生产结果、建立主题地图、复用旧选题或维护长期内容库时使用。 English: Organize account profiles, research evidence, topic cards, drafts, publishing data, and review findings into reusable long-term content assets. Use to archive production work, build a topic map, reuse past ideas, or maintain a content library.

SDT 内容资产系统

SDT 的轻量归档可用于每次生产;当素材达到数量和来源门槛时,按本技能的工程规则独立升级为重型内容工程。

轻量归档

每次生产保存:

  • account:账号档案版本
  • sources:来源证据与采集时间
  • mechanisms:传播机制卡
  • topics:候选和评分
  • productions:标题、封面、开头、正文与版本
  • performance:发布链接和可见指标
  • reviews:假设是否成立、可复用规律和失败原因

使用 references/archive-schema.md 的命名和状态字段。原始来源不改写,创作版本使用新文件。

升级门槛

素材达到以下任一规模时,先做重型工程审计:

  • 可处理文本不少于 50 个
  • 或正文不少于 80000 字

并至少覆盖两类来源。不要为少量内容强建重型系统。

审计通过后才建立原始素材副本、内容单元库、主题地图、装配稿、处理状态和去重关系。原目录不改写;先用 3–5 篇样本验证结构,再批量推进。

回填纪律

  • 发布前假设与发布后结论分开。
  • 点赞、收藏、评论、播放和粉丝量写采集时间。
  • 一次爆发不升级为长期规律;至少记录多个同机制样本。
  • 失败稿不删除,标出失败环节,供后续对照。

© StopDisTrain, 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/sdt-content-system of StopDisTrain/sdt-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/archive-schema.md

Open the folder on GitHubat commit 0678cd0

Compare with similar skills

Sdt Content System 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.

Sdt Content System compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sdt Content System this skillStopDisTrain/sdt-skills309—~236Automated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Backend Code Reviewlangflow-ai/langflow156k—~3.5kAutomated safety check: NotesMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything86k1 repos~1.4kAutomated safety check: PassMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0

Similar skills

  • PR Babysitter

    openinterpreter/openinterpreter

    Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.

    69k GitHub starsUsed in 3 repos~4.2k tokens
    DevelopmentAuto-check passed
  • Code Review Checklist

    shareAI-lab/learn-claude-code

    Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.

    78k GitHub starsUsed in 5 repos~1.1k tokens
    DevelopmentAuto-check passed
  • Backend Code Review

    langflow-ai/langflow

    Review backend code for quality, security, maintainability, and best practices based on established checklist rules.

    156k GitHub stars~3.5k tokensUpdated today
    DevelopmentAuto-check: notes
  • Understand Diff Analysis

    Egonex-AI/Understand-Anything

    Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.

    86k GitHub starsUsed in 1 repo~1.4k tokens
    DevelopmentAuto-check passed
  • A catalog of recurring bug shapes in the Mole Mac cleaner, used to review safety-sensitive diffs for deletion safety, unbounded commands, shell traps and weak tests.

    70k GitHub stars~2k tokensUpdated today
    DevelopmentAuto-check passed
  • Backend Code Review

    langgenius/dify

    Reviews backend code under api/ for concrete, reproducible defects, routes to rule packs for architecture, schema, repositories and SQLAlchemy, and ranks findings from P0 to P3.

    158k GitHub stars~676 tokensUpdated today
    DevelopmentAuto-check passed

More from StopDisTrain/sdt-skills

All 15 skills in this repo
  • Sdt Topic

    StopDisTrain/sdt-skills

    把已验证的传播机制转成适合目标账号的内容选题,并完成生成、迁移、评分和筛选,让选题自然连接人设、产品或门店。用户要从低粉爆款、垂直样本、邻近受众或跨赛道内容中寻找新选题时使用。

    309 GitHub stars~339 tokensUpdated 1 mo ago
    Auto-check passed
  • Sdt

    StopDisTrain/sdt-skills

    SDT 内容生产工具箱的总入口:根据当前任务选择最合适的 sdt- 模块,既能完成标题、开头等单一步骤,也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill,或希望一站式完成内容生产时使用。

    309 GitHub stars~535 tokensUpdated 1 mo ago
    Auto-check passed
  • Sdt Research

    StopDisTrain/sdt-skills

    只读检索小红书公开内容,并把账号数据、标题、封面、互动量、作者近期内容和低粉爆款整理成可追溯证据。用户要求查公开账号或笔记数据时使用;不得点赞、收藏、评论、发布、删除或导出登录凭证。

    309 GitHub stars~343 tokensUpdated 1 mo ago
    Auto-check passed
  • Sdt Wechat HTML

    StopDisTrain/sdt-skills

    把已经完成并通过质检的 Markdown 内容转换成可粘贴到微信公众号后台的 HTML,并支持选择样式、生成预览和检查粘贴兼容性。用户要制作公众号排版稿或微信发布版本时使用。

    309 GitHub stars~274 tokensUpdated 1 mo ago
    Auto-check passed
  • Sdt Xhs Title

    StopDisTrain/sdt-skills

    根据主题、正文或已有标题生成并筛选小红书标题,提供改写和 A/B 方案,同时检查账号调性、真实性以及正文能否兑现标题承诺。用户要起标题、改标题、套用标题模式或检查标题时使用。

    309 GitHub stars~247 tokensUpdated 1 mo ago
    Auto-check passed
  • Sdt Account

    StopDisTrain/sdt-skills

    把账号链接、主页截图、产品说明和历史内容整理成可复用的账号档案,明确调性、人设、受众、产品连接和表达边界。用户要求分析账号定位、建立账号资料,或开始完整内容生产流程时使用。

    309 GitHub stars~257 tokensUpdated 1 mo ago
    Auto-check passed

Categories

Questions about Sdt Content System

What does Sdt Content System do?

把账号档案、研究证据、选题卡、成稿、发布数据和复盘结论整理成能长期积累和复用的内容资产。用户要保存生产结果、建立主题地图、复用旧选题或维护长期内容库时使用。. Sdt Content System is an agent skill from StopDisTrain/sdt-skills. 把账号档案、研究证据、选题卡、成稿、发布数据和复盘结论整理成能长期积累和复用的内容资产。用户要保存生产结果、建立主题地图、复用旧选题或维护长期内容库时使用。 English: Organize account profiles, research evidence, topic cards, drafts, publishing data, and review findings into reusable long-term content assets.

When should I use Sdt Content System?

Sdt Content System fits situations like: archive production work; build a topic map; reuse past ideas; maintain a content library.

How do I install Sdt Content System in Claude Code?

Run `npx skills add StopDisTrain/sdt-skills --skill sdt-content-system -a claude-code`. Or copy the skill folder (skills/sdt-content-system in StopDisTrain/sdt-skills) into .claude/skills/sdt-content-system in your project. Claude Code loads it when a task matches its description.

How do I install Sdt Content System in Codex?

Run `npx skills add StopDisTrain/sdt-skills --skill sdt-content-system -a codex`. Or copy the skill folder (skills/sdt-content-system in StopDisTrain/sdt-skills) into .agents/skills/sdt-content-system in your project. Codex loads it when a task matches its description.

Can I use Sdt Content System 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 StopDisTrain/sdt-skills --skill sdt-content-system -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sdt-content-system, .gemini/skills/sdt-content-system, .github/skills/sdt-content-system and .opencode/skills/sdt-content-system in your project.

What does Sdt Content System need to run?

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

Does Sdt Content System 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 Sdt Content System 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 Sdt Content System use?

Sdt Content System 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 Sdt Content System use?

About 236 tokens (SKILL.md is roughly 944 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 242 tokens, read only when the agent opens those files.

What are the alternatives to Sdt Content System?

Skills that share tags, products or a category with Sdt Content System: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 156k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sdt Content System?

StopDisTrain (a GitHub user) maintains it in StopDisTrain/sdt-skills, which has 309 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on August 25, 2026.

Source: StopDisTrain/sdt-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.