Mass-ULW Workflow Runs
code-yeongyu/oh-my-openagent
Drives dependency-ordered multi-agent work through the workflow tool, one run per phase, with planning rules and retry, amend and send recovery.
群众路线：从持有真实情况的多方（用户、使用者、代码库、日志、运行结果）收集分散意见，系统化为方案，再带回去对齐与检验，循环改进。当多方意见分歧、需要汇总零散反馈、方案要拿回给真实使用者确认、或你发觉自己在闭门造车时触发；信息源单一且完整、处于执行阶段时不触发。
MITAuto-check passed
Install Mass Line
$ npx skills add HughYau/qiushi-skill --skill mass-line -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HughYau/qiushi-skill mass-line --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/HughYau/qiushi-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mass-line .claude/skills/mass-line && rm -rf skills-srcUse ~/.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/
Install the "mass-line" agent skill from https://github.com/HughYau/qiushi-skill/tree/main/skills/mass-line into .claude/skills/mass-line/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mass-line", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/HughYau/qiushi-skill/tree/main/skills/mass-lineType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add HughYau/qiushi-skill --skill mass-line -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HughYau/qiushi-skill mass-line --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HughYau/qiushi-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mass-line .agents/skills/mass-line && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mass-line" agent skill from https://github.com/HughYau/qiushi-skill/tree/main/skills/mass-line into .agents/skills/mass-line/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mass-line", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HughYau/qiushi-skill --skill mass-line -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HughYau/qiushi-skill mass-line --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HughYau/qiushi-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mass-line .cursor/skills/mass-line && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mass-line" agent skill from https://github.com/HughYau/qiushi-skill/tree/main/skills/mass-line into .cursor/skills/mass-line/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mass-line", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/HughYau/qiushi-skill.git --path skills/mass-line--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add HughYau/qiushi-skill --skill mass-line -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HughYau/qiushi-skill mass-line --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HughYau/qiushi-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mass-line .gemini/skills/mass-line && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mass-line" agent skill from https://github.com/HughYau/qiushi-skill/tree/main/skills/mass-line into .gemini/skills/mass-line/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mass-line", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install HughYau/qiushi-skill mass-lineInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add HughYau/qiushi-skill --skill mass-line -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HughYau/qiushi-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mass-line .github/skills/mass-line && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mass-line" agent skill from https://github.com/HughYau/qiushi-skill/tree/main/skills/mass-line into .github/skills/mass-line/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mass-line", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HughYau/qiushi-skill --skill mass-line -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HughYau/qiushi-skill mass-line --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HughYau/qiushi-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mass-line .opencode/skills/mass-line && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mass-line" agent skill from https://github.com/HughYau/qiushi-skill/tree/main/skills/mass-line into .opencode/skills/mass-line/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mass-line", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
mass-line- GitHub stars
- 3.8k
- Token cost
- ~467 tokens
- SKILL.md length
- 64 words
- Files
- 2
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- MIT
At a glance
群众路线：从持有真实情况的多方（用户、使用者、代码库、日志、运行结果）收集分散意见，系统化为方案，再带回去对齐与检验，循环改进。当多方意见分歧、需要汇总零散反馈、方案要拿回给真实使用者确认、或你发觉自己在闭门造车时触发；信息源单一且完整、处于执行阶段时不触发。
- Works in 6 steps: 列信息源：本次的"群众"是谁？至少两个独立来源，否则只是单方转述。 → 收集，先不筛：逐条记录，标来源。矛盾的意见不删，它们往往指向真问题。 → 集中：归类，找出一致处（可信事实）、分歧处、缺口。分歧按原因分：视角不同 /… → …
- Inputs conflict
- SKILL.md covers AI 语境下的"群众", 用 / 不用, 操作规程 and 输出模板, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Mass Line is an agent skill from HughYau/qiushi-skill. 群众路线：从持有真实情况的多方（用户、使用者、代码库、日志、运行结果）收集分散意见，系统化为方案，再带回去对齐与检验，循环改进。当多方意见分歧、需要汇总零散反馈、方案要拿回给真实使用者确认、或你发觉自己在闭门造车时触发；信息源单一且完整、处于执行阶段时不触发。 English: Mass line. Collect scattered input from everyone who holds ground truth (users, operators, codebase, logs, runtime results), synthesize it into a coherent plan, take it back for alignment and validation, and iterate. Trigger when inputs conflict, feedback must be consolidated, a plan needs sign-off from real users, or you sense you are designing in isolation; skip when there…
Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `original-texts.md`).
The repository describes itself as: Qiushi-Skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done… The licence is MIT.
When your agent uses it
- Inputs conflict
- Feedback must be consolidated
- A plan needs sign-off from real users
- You sense you are designing in isolation
Example prompts
- “/mass-line”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- 列信息源：本次的"群众"是谁？至少两个独立来源，否则只是单方转述。
- 收集，先不筛：逐条记录，标来源。矛盾的意见不删，它们往往指向真问题。
- 集中：归类，找出一致处（可信事实）、分歧处、缺口。分歧按原因分：视角不同 / 信息不同 / 利益不同。系统化不是投票。
- 返回：把整理后的判断带回去。向用户说明"综合各方后我的判断是 ……，与你原始描述有出入的是 ……"；只在不同读法会导致实质不同的工作时才提问。
- 检验：方案执行后看结果是否与判断一致；不一致时说明哪个信息源误导了判断。
- 再来一轮，直到没有新的重要分歧或用户确认。
What it can do on your machine
Read from SKILL.md and the folder at commit 5ace717. 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
Mass Line loads about 467 tokens when it runs. Until then it costs about 147 tokens; SKILL.md has 64 words of instructions outside code blocks.
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 HughYau/qiushi-skill at commit 5ace717, republished under its MIT licence (© HughYau). 64 words, ~467 tokens.
Download SKILL.mdSave it as
.claude/skills/mass-line/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- mass-line
- description
- 群众路线：从持有真实情况的多方（用户、使用者、代码库、日志、运行结果）收集分散意见，系统化为方案，再带回去对齐与检验，循环改进。当多方意见分歧、需要汇总零散反馈、方案要拿回给真实使用者确认、或你发觉自己在闭门造车时触发；信息源单一且完整、处于执行阶段时不触发。 English: Mass line. Collect scattered input from everyone who holds ground truth (users, operators, codebase, logs, runtime results), synthesize it into a coherent plan, take it back for alignment and validation, and iterate. Trigger when inputs conflict, feedback must be consolidated, a plan needs sign-off from real users, or you sense you are designing in isolation; skip when there is a single complete source and the work is pure execution.
群众路线
"从群众中来，到群众中去。" —— 《关于领导方法的若干问题》
与 investigation-first 的分工：调查研究是"我去弄清事实"；群众路线是"把整理后的方案带回给持有真实情况的人和系统检验"，重点在多方分歧的处理和返回验证。
AI 语境下的"群众"
| 原义 | 映射 |
|---|---|
| 群众的实际经验 | 代码库既有模式、注释、惯例 |
| 基层第一手信息 | git history、测试用例、错误日志 |
| 群众对方案的反馈 | 运行结果、测试失败、用户的真实使用反馈 |
| 多方意见综合 | 文档 + 代码 + 运行结果 + 用户描述的交叉验证 |
不做命令主义（只听指令不看实际），也不做尾巴主义（谁声音大听谁的，不加专业判断）。
用 / 不用
用：
- 需要收集多方需求或反馈并整合
- 反馈互相矛盾，要判断听谁的、为什么
- 方案做好了，需要带回给使用者确认再执行
- 方案效果不佳，要回到使用者那里重新收集
不用：
- 信息源单一且已足够精确（"改第 3 行变量名"）
- 已完成多源收集，处于执行阶段
操作规程
- 列信息源：本次的"群众"是谁？至少两个独立来源，否则只是单方转述。
- 收集，先不筛：逐条记录，标来源。矛盾的意见不删，它们往往指向真问题。
- 集中：归类，找出一致处（可信事实）、分歧处、缺口。分歧按原因分：视角不同 / 信息不同 / 利益不同。系统化不是投票。
- 返回：把整理后的判断带回去。向用户说明"综合各方后我的判断是 ……，与你原始描述有出入的是 ……"；只在不同读法会导致实质不同的工作时才提问。
- 检验：方案执行后看结果是否与判断一致；不一致时说明哪个信息源误导了判断。
- 再来一轮，直到没有新的重要分歧或用户确认。
先在一个具体点上深入实施取得经验，再推广：一般号召与个别指导相结合。
输出模板
信息源：[1] …… [2] …… [3] ……
一致处：……
分歧处：[A 说 …… / B 说 ……]，原因：视角 / 信息 / 利益
信息缺口：……（需进一步确认）
综合各方后，我的判断是：……
依据：[源 1] + [源 2] 共同指向 ……
与用户原始描述有出入的地方：……
验证方式：……纪律
- 少于两个独立来源，不得宣称"综合各方"。
- 禁止把多数意见直接当结论；少数但来自一线的深度意见要单独评估。
- 返回环节不是走过场：分歧未处理就执行，属于命令主义。
交接
- 分歧本质是矛盾 →
contradiction-analysis - 判断形成后进入验证 →
practice-cognition
原著依据：original-texts.md
© HughYau, 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 1 other file in skills/mass-line of HughYau/qiushi-skill.
- SKILL.md
- original-texts.md
Open the folder on GitHubat commit 5ace717
Compare with similar skills
Mass Line 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mass Line this skillHughYau/qiushi-skill | 3.8k | — | ~467 | Automated safety check: Pass | MIT | |
| Mass-ULW Workflow Runscode-yeongyu/oh-my-openagent | 70k | — | ~2.5k | Automated safety check: Pass | Custom licence | |
| Testing API For Mass Assignment Vulnerabilitymukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~4k | Automated safety check: Pass | Apache-2.0 | |
| Bio Imaging Mass Cytometry Data PreprocessingFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~2k | Automated safety check: Pass | None | |
| Bio Imaging Mass Cytometry Data PreprocessingGPTomics/bioSkills | 1.2k | 1 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Bio Imaging Mass Cytometry PhenotypingFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~1.7k | Automated safety check: Pass | None |
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Testing API For Mass Assignment Vulnerability
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Tests APIs for mass assignment (auto-binding), OWASP API3:2023, by identifying writable endpoints, adding undocumented fields to request bodies (role, isAdmin, price, balance), and checking whether…
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More from HughYau/qiushi-skill
All 11 skills in this repoConcentrate Forces
HughYau/qiushi-skill
集中兵力：多件事同时争抢时间、注意力或预算时，列出全部待办，选定唯一主攻目标并公开锁定，彻底解决、验证后再转向下一个。当待办过多、推进分散、"每件都做了一点但都没做完"、需要决定先做什么时触发；只有一个任务、任务彼此独立可并行、用户明确要求同时推进时不触发。
Contradiction Analysis
HughYau/qiushi-skill
矛盾分析法：把复杂问题拆成若干对立面，找出规定其他矛盾的主要矛盾及其主要方面，判定对抗性 / 非对抗性，并据此选择处理方式。当问题头绪多、多个因素互相牵制、优先级不清、根因不明、反复修不好、trade-off 说不清时触发；直接执行类任务或用户已定方案时不触发。
Criticism Self Criticism
HughYau/qiushi-skill
批评与自我批评：在工作完成、阶段验收、收到批评或同类错误反复出现时，对成果和过程做诚实、具体、基于事实的审视，输出可执行的改进项，并处理外来批评而不辩解。触发信号包括 review、复盘、审查、"帮我看看有没有问题"、"你确定吗"；任务刚开始或只是单步查询时不触发。
Investigation First
HughYau/qiushi-skill
调查研究：在下判断、做决策、给建议之前，先用第一手材料弄清现状，产出「事实 / 推断 / 未知」三栏调查结论。当上下文不完整、证据薄弱、领域陌生、用户说"先别动手"、或你发现自己在凭印象作答时触发；已充分调查后的执行阶段不要重复触发。
Overall Planning
HughYau/qiushi-skill
统筹兼顾：当多个目标、指标或利益方相互制约、优化一项会伤害另一项时，识别全部辩证关系对，检查片面性，为每对关系定出当前阶段的侧重与底线，评估系统性影响，并设失衡预警。触发信号包括 trade-off、目标冲突、速度 vs 质量、短期 vs 长期、"顾此失彼"；只有单一目标、用户已定取舍、或属硬性二选一时不触发。
Practice Cognition
HughYau/qiushi-skill
实践认识论：把方案、假说或判断放回实践中检验，按「实践 → 认识 → 再实践」螺旋迭代，并在开始前写明循环终止条件。当你提出了假说要验证、一次尝试失败要复盘再来、发现自己只想不做或只做不想时触发；一次性输出、答案可直接查阅、还没形成假说（先调查）时不触发。
Questions about Mass Line
What does Mass Line do?
群众路线：从持有真实情况的多方（用户、使用者、代码库、日志、运行结果）收集分散意见，系统化为方案，再带回去对齐与检验，循环改进。当多方意见分歧、需要汇总零散反馈、方案要拿回给真实使用者确认、或你发觉自己在闭门造车时触发；信息源单一且完整、处于执行阶段时不触发。. Mass Line is an agent skill from HughYau/qiushi-skill. 群众路线：从持有真实情况的多方（用户、使用者、代码库、日志、运行结果）收集分散意见，系统化为方案，再带回去对齐与检验，循环改进。当多方意见分歧、需要汇总零散反馈、方案要拿回给真实使用者确认、或你发觉自己在闭门造车时触发；信息源单一且完整、处于执行阶段时不触发。 English: Mass line.
When should I use Mass Line?
Mass Line fits situations like: inputs conflict; feedback must be consolidated; A plan needs sign-off from real users; you sense you are designing in isolation.
How do I install Mass Line in Claude Code?
Run `npx skills add HughYau/qiushi-skill --skill mass-line -a claude-code`. Or copy the skill folder (skills/mass-line in HughYau/qiushi-skill) into .claude/skills/mass-line in your project. Claude Code loads it when a task matches its description.
How do I install Mass Line in Codex?
Run `npx skills add HughYau/qiushi-skill --skill mass-line -a codex`. Or copy the skill folder (skills/mass-line in HughYau/qiushi-skill) into .agents/skills/mass-line in your project. Codex loads it when a task matches its description.
Can I use Mass Line 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 HughYau/qiushi-skill --skill mass-line -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mass-line, .gemini/skills/mass-line, .github/skills/mass-line and .opencode/skills/mass-line in your project.
What does Mass Line need to run?
SKILL.md names no scripts, command-line tools or credentials: Mass Line is instructions for the agent only.
Does Mass Line 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 Mass Line 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 Mass Line use?
Mass Line 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 Mass Line use?
About 467 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Mass Line?
Skills that share tags, products or a category with Mass Line: Mass-ULW Workflow Runs (code-yeongyu/oh-my-openagent, 70k stars), Testing API For Mass Assignment Vulnerability (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Bio Imaging Mass Cytometry Data Preprocessing (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars) and Bio Imaging Mass Cytometry Data Preprocessing (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 Mass Line?
HughYau (a GitHub user) maintains it in HughYau/qiushi-skill, which has 3,812 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 1, 2026.
Source: HughYau/qiushi-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.