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.

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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  agent
/li-post

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 install	Proxy / aggregator	This plugin
Harness	Claude Code only	Any	DeepSeek Harness
Install surface	`~/.claude/skills/`	Any	`dsh plugin add`
Humanizer built in	Yes	Depends	Yes (local, runs on your machine)
Posts to LinkedIn	No	Depends	No
Upfront cost	Clone + copy	Key + route	Zero config

What to do first

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.
Read UPSTREAM.md for the full file-by-file mapping to the upstream Jakeschincariol/linkedin-agent-skill.
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.

dsh-linkedin-agent

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