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Linkedin Agent — DeepSeek Harness 插件(DSH Plugin)
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dsh-linkedin-agent

Linkedin Agent

适用于 DeepSeek Harness 的 11 个 LinkedIn 代理技能(Jakeschincariol/linkedin-agent-skill 的移植版),MIT。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add github:mubaid/dsh-linkedin-agent#d11b90454ce0a3350686b01a021190abe8565f25
README兼容性版本

兼容性与来源证明

Linkedin Agent 以 dsh-linkedin-agent 发布,当前版本为 0.1.0。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
any
发布来源
github
Registry 更新时间
2026/10/4

版本

0.1.0stable
2026/10/4

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最新版
0.1.0
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
未提供
文件数
未提供
Surface
any
许可证
MIT
发布源
github
GitHub
★ 0
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0
最近提交
2026/10/4
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Im@xmanrui/dsh-im将微信、飞书、企微、钉钉、QQ、Telegram、WhatsApp、Slack、Discord 和 Matrix 接入 DSH。Ds Botds-botDS Bot:DeepSeek Harness 的一组长期运行的 Bot,支持主 Bot、Bot 间消息和群聊Free Searchdsh-free-searchDeepSeek Harness 的免费网页搜索:24 个引擎(Bing/DuckDuckGo/AnySearch/SearXNG/Exa/Tavily/Keenable/Firecrawl/Parallel 无需密钥;通过 MCP 使用 Zhihu 全局/站内搜索,以及 Perplexity/SerpBase/DeepSeek/You.com/Baidu/Kimi/Aliyun/Doubao,需密钥;OpenAI/Gemini/ClaudeDafeiyudsh-dafeiyu由 DeepSeek Harness 会话事件驱动的原生桌面端 BigFish companion。

README

dsh-linkedin-agent

Eleven LinkedIn agent skills in DeepSeek Harness — posts off 21 hook formulas, comments, replies, a 100-point profile score, a weekly plan, and a humanizer that strips the AI fingerprint before anything goes out. Free, MIT, no signup.

English | 简体中文


The problem

You want to run a LinkedIn presence with an agent. You write posts, comment on other people's threads, reply under your own, score your profile, and plan the week. That is eleven workflows, and doing them well takes consistent voice and judgement. Doing them sloppily makes you look like a template.

The solution

This plugin installs eleven li-* skills. They write everything — you post everything. Nothing reaches LinkedIn without your thumbs-on-keyboard yes.

dsh plugin add github:mubaid/dsh-linkedin-agent

Restart the profile. /li-post is ready.

The wow moment

/li-post I shipped a proposal template that cut prep time in half
HOOKS
1. #17 Time Anchor   Writing a proposal used to take me half a day. It now takes 20 minutes.
2. #12 Comparison    A freelance consultant vs a weekend and a template. The weekend won.
3. #3  Mistake       For two years I charged for hours I spent fixing my own messy process.

Post #17. It is a ratio, and the number is yours.

Three hook options, one draft on the strongest, humanized before you see it.

Why this plugin

The humanizer is the whole point. Every post, comment, reply and DM runs through /li-human first — em dashes to commas, the 113-word AI slop lexicon, zero-width fingerprint characters — and scores on a five-check panel. A post that passes the panel is readable; a post that fails comes back for human work, not a second polish.

No automation theatre. These skills do not post to LinkedIn, and they should not: there is no approved API for posting to a personal profile, and browser automation violates LinkedIn's User Agreement and gets accounts restricted. Every skill ends with a copy-ready block. You paste. That is the design, not a bolted-on limit.

Nothing fabricated. If a draft needs a number you haven't given, it comes back with {{your number}} and a flag, every time. No invented metrics, clients or outcomes.

Voice, actually. /li-plan and the rest read templates/voice.md — fill it in first, or paste three of your own posts and say "write my voice.md from these". Every skill reads it. Skip it and everything comes out generic.

Key features

  • /li-post — one idea into a post. Three hook options from 21 formulas, one full draft, humanized before you see it.
  • /li-comment — comments on other people's posts, nine types picked by what the post actually is. Never "Great post!".
  • /li-reply — the replies under your own post, sorted lead / substance / peer / support / noise, written in that order.
  • /li-profile — 12-part, 100-point rubric, then fix-first rewrites.
  • /li-plan — the week: what to post, when, and who to engage with.
  • /li-carousel — slide-by-slide copy for a document post, plus the PDF.
  • /li-repurpose — one video, newsletter or transcript into a week of standalone posts.
  • /li-dm — the 200-character invite, the first message, and two follow-ups. Then stop.
  • /li-inbox — triage connection requests and DMs; mark the sequences.
  • /li-audit — post-mortem on what you have already published, ranked by engagement rate, not impressions.
  • /li-human — strips the AI fingerprint and scores it on a five-check panel.

Quick start

dsh plugin add github:mubaid/dsh-linkedin-agent
dsh --profile <your-profile> agent
/li-post <an idea>

Ten minutes on templates/voice.md first.

Real-world examples

Writing posts that sound like you. Fill in the voice file with three of your own posts, and the gap between "drafts I post" and "drafts I rewrite" widens immediately.

Engagement rounds. /li-plan builds a 10-person engage list (5 reach, 3 peers, 2 buyers); /li-comment does the commenting; /li-inbox keeps the pipeline honest.

Before you post, prove it's human. /li-human on the final draft: BURSTINESS, SPECIFICITY, SLOP DENSITY, FINGERPRINT, VOICE — the verdict weights the mean at 60% and the weakest check at 40%.

Technical details

The skills are registered through dsh-skill-filesystem under provider name linkedin-agent, scanning the skills/ directory next to lib/. Each skill is a SKILL.md reproduced byte-for-byte from upstream.

Comparison

Claude Code installProxy / aggregatorThis plugin
HarnessClaude Code onlyAnyDeepSeek Harness
Install surface~/.claude/skills/Anydsh plugin add
Humanizer built inYesDependsYes (local, runs on your machine)
Posts to LinkedInNoDependsNo
Upfront costClone + copyKey + routeZero config

What to do first

  1. Fill in templates/voice.md — three of your own posts, or a description of your style. It is the single biggest factor in whether the output sounds like you.
  2. Read UPSTREAM.md for the full file-by-file mapping to the upstream Jakeschincariol/linkedin-agent-skill.
  3. See VERIFICATION.md for what has been verified against DeepSeek Harness 0.2.0-rc.2 and what is still pending.

License

MIT. See LICENSE and NOTICE. Port of Jakeschincariol/linkedin-agent-skill.