unslop
Cut AI tells from any writing. Must always apply.
供给资产档案
研究与知识工作
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
场景
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add sero-labs/sero --skill unslop
维护状态
新鲜
距上次推送 3 天
风险
需审查
Permission surface may require sandboxing
GitHub 质量
19
60/100 质量 · 71/100 信任
覆盖标签
审查说明
Permission surface may require sandboxing · Low GitHub adoption signal
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
19 个 GitHub Stars
仓库活跃度
19 个 Star,1 个 Fork
维护状态
距上次推送 3 天
许可证
Apache-2.0
安装
npx skills add sero-labs/sero --skill unslop
安装安全性
标准软件包或运行时安装路径
权限范围
filesystem or document access, network or browser access
Agent 结果
暂未有 Agent 结果数据
文档
Usable metadata, review docs
风险摘要
生产前审查
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: filesystem or document access, network or browser access
- GitHub adoption: 19 GitHub stars
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- Browser automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Navigate pages
适用 Agent
安装决策
- 命令
- npx skills add sero-labs/sero --skill unslop
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 63/100
- 审计
- 76/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- Low GitHub adoption signal
- Permission surface may require sandboxing
- Quality score needs review
Agent 安全 v2
56/100 · 安装前审查
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
中
数据库访问
Skill 可能检查 Schema、查询数据库或处理持久化存储。
- Permission surface may require sandboxing
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install sero-labs-unslopAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20unslop%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20unslop%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/sero-labs-unslop/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use unslop in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20unslop%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sero-labs-unslop/install
Install command: npx skills add sero-labs/sero --skill unslop
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/sero-labs-unslop/install
LLM 文本格式
/api/skills/sero-labs-unslop/install?format=text
寻找替代方案
/api/skills/search?q=unslop&limit=3
Agent 提示词
Use unslop for this task. Review https://www.openagentskill.com/api/skills/sero-labs-unslop/install, then install with: npx skills add sero-labs/sero --skill unslopRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Agent 决策面板
Fallback candidate for Browser automation
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
Browser automation
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- Browser automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 60/100 质量档案
- 1 个 OpenAgentSkill 交互事件
先审查
- Low GitHub adoption signal
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次Browser automation任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
修复19 个 GitHub Stars
Star/Fork 活跃度
修复19 个 Star,1 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过距上次推送 3 天
许可证清晰度
通过Apache-2.0
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: filesystem or document access, network or browser access
- GitHub adoption: 19 GitHub stars
- Stars/forks activity: 19 stars, 1 forks; issue activity unavailable in current metadata
- Permission surface: filesystem or document access, network or browser access
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
工作流匹配
加入完整工作流
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
MoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Cua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
概览
--- name: unslop description: Cut AI tells from any writing. Must always apply. ---
# Unslop
Edit text to remove AI patterns and add human voice.
## Process
1. Scan for the patterns below. 2. Rewrite. Preserve meaning, match intended tone. 3. Add soul (see next section). 4. Self-audit: "What makes this obviously AI generated?" Fix remaining tells.
## Adding soul
Removing patterns is half the job. Sterile, voiceless writing is just as obvious.
- **Have opinions.** React to facts instead of neutrally listing pros and cons. - **Vary rhythm.** Short sentences. Then longer ones that take their time. Mix it up. - **Acknowledge complexity.** "Impressive but also kind of unsettling" beats "impressive." - **Use "I" when it fits.** First person isn't unprofessional. - **Let some mess in.** Perfect structure looks machine-made. - **Be specific.** Not "this is concerning" but "there's something unsettling about agents churning away at 3am."
## Patterns to detect and fix
### Content
1. **Puffery.** "pivotal moment", "testament to", "evolving landscape", "setting the stage for", "indelible mark", "deeply rooted". Cut puffery, state what happened. 2. **Name-dropping.** Listing media outlets without context. Pick one, say what was said. 3. **Superficial -ing phrases.** "highlighting...", "ensuring...", "reflecting...", "showcasing...", "fostering...". Delete or expand with real sources. 4. **Promotional language.** "nestled", "vibrant", "breathtaking", "groundbreaking", "renowned", "stunning", "must-visit". Use neutral descriptions. 5. **Vague attributions.** "Experts believe", "Industry reports suggest", "Some critics argue". Name the source or delete. 6. **Formulaic challenges.** "Despite challenges... continues to thrive." Replace with specific facts.
### Language
7. **AI vocabulary.** Additionally, crucial, delve, enduring, enhance, fostering, garner, interplay, intricate, landscape (abstract), pivotal, showcase, tapestry (abstract), testament, underscore, vibrant. Replace with plain words. 8. **Fancy ways to say "is".** "serves as", "stands as", "boasts", "features". Just say "is" or "has". 9. **"Not just X, but Y."** State the point directly instead. 10. **Rule of three.** Forcing ideas into groups of three. Use the natural number. 11. **Synonym cycling.** Protagonist, main character, central figure, hero all in one paragraph. Pick one, repeat it. 12. **False ranges.** "from X to Y" where X and Y aren't on a meaningful scale. List topics directly.
### Style
13. **Em dash overuse.** Avoid em dashes entirely. Use periods or commas only (no parentheses, no en dashes, no hyphen-as-dash substitutes). Em dashes are an AI tell, and reaching for parentheses instead just trades one tell for another. If a thought needs separation, end the sentence or use a comma. 14. **Colon overuse.** Colons are fine before a list or example. Not as mid-sentence connectors. "If you're coming from traditional automation: instead of registering event handlers, you describe conditions" adds nothing with the colon. Rewrite to let the point stand on its own without comparison framing. "Describing when the scheduler should fire works best as plain English." Same meaning, no crutch punctuation. 15. **Boldface overuse.** Don't bold every proper noun or acronym. 16. **Inline-header lists.** The tell is a bold label and colon that restates the line: "**Performance:** Performance improved...". Convert those to prose. A bold lead-in that ends in a period, names the item, and is followed by genuinely new detail ("**Schema in TypeScript.** Tables live in one file.") is fine, not a tell. 17. **Title case headings.** Use sentence case. 18. **Decorative emojis.** Remove from headings and bullets. 19. **Curly quotes.** Replace with straight quotes.
### Communication artifacts
20. **Chatbot phrases.** "I hope this helps!", "Let me know if...", "Of course!", "Certainly!", "Found the smoking gun!" Remove. 21. **Cutoff disclaimers.** "While specific details are limited..." Find sources or remove. 22. **Sycophantic tone.** "Great question! You're absolutely right!" Respond directly.
### Filler
23. **Filler phrases.** "In order to" becomes "To". "Due to the fact that" becomes "Because". "It is important to note that" gets deleted. 24. **Excessive hedging.** "could potentially possibly be argued that it might" becomes "may". 25. **Generic conclusions.** "The future looks bright." State specific plans or facts.
### Jargon
26. **Abstract metaphor nouns.** Substrate, wedge, vector, locus, vantage, nexus, primitive (as noun), harness (as metaphor), surface (as in "API surface"), bedrock, scaffolding (as metaphor), modality, paradigm, gold-plating, ratchet (as metaphor), evacuate (for moving code), endgame, north star, flywheel. These read as technical but usually have a plainer concrete word. "Substrate" becomes "base". "Wedge in" becomes "add". "Vector" becomes "way" or "method". "Gold-plating" becomes "more than the job needs". "Ratchet" becomes the mechanism's real name or "a limit that only tightens". "Evacuate" becomes "move out". "Endgame" becomes "the last phase". Pick the concrete word.
### Plain speech
27. **Say what it does, not how it feels.** "the database stays close at hand", "SQL you can read", "types that follow your schema" name a feeling. The fix names the mechanism or a number: "`.toSQL()` returns the exact string sent to the database", "a column rename fails the build". Ask what the sentence tells the reader to do or know, then write that. If you can't restate it as a concrete instruction, fact, or number, cut it. One more check: if the sentence could appear unchanged in another project's docs, it says nothing about this one. Cut it. 28. **Shorten or split dense sentences.** If the reader has to backtrack to parse a sentence, break it in two or drop clauses. One idea per sentence. 29. **Active voice.** Prefer it. Catch "is/are/was/were + past participle" and name the actor: "queries are validated" becomes "the compiler validates queries", "the file is parsed by the loader" becomes "the loader parses the file". Passive is fine only when the actor is unknown or genuinely doesn't matter. 30. **Cut adverbs, or use a stronger verb.** "runs quickly" becomes "is fast" or the number. "significantly improves" becomes the measured delta. An adverb propping up a weak verb means the verb is wrong. 31. **Prefer the plain word.** "utilize" becomes "use", "leverage" becomes "use", "facilitate" becomes "help", "numerous" becomes "many", "in the event that" becomes "if". The fancier synonym is rarely clearer.
技术详情
- 版本
- 1.0.0
- 许可证
- Apache-2.0
- 最近更新
- 2026年8月19日
- 发布时间
- 2026年8月19日
决策摘要
备选候选
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 unslop 准备的场景化草稿,可手动发布到 X。
A practical pick for a repeatable workflow: unslop: Cut AI tells from any writing. Must always apply. 19 stars https://www.openagentskill.com/skills/sero-labs-unslop?ref=x
可选:带安装命令的回复
Listing + install path for unslop: https://www.openagentskill.com/skills/sero-labs-unslop?ref=x Install: npx skills add sero-labs/sero --skill unslop
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- sero-labs
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 sero-labs,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/sero-labs-unslop)
[](https://www.openagentskill.com/skills/sero-labs-unslop)
[](https://www.openagentskill.com/skills/sero-labs-unslop/audit)
[](https://www.openagentskill.com/skills/sero-labs-unslop)作者
sero-labs
@sero-labs
平台适配
健康信号
- GitHub Stars
- 19
- 质量评分
- 33/100
- 最近 GitHub 推送
- 2026年8月19日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 1
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度19 个 GitHub Stars修复
- Star/Fork 活跃度19 个 Star,1 个 Fork; 当前元数据中没有议题活跃度信息修复
- 近期维护距上次推送 3 天通过
- 许可证清晰度Apache-2.0通过
- README/SKILL.md 完整度公开元数据需要更完整的 README/SKILL.md 上下文信息
- 依赖与运行时风险network or browser surface, database surface信息
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