linkedin-dm-outreach

linkedin-dm-outreach is a skill for Claude Code, Codex from WingedGuardian/GENesis-AGI. It costs 87 tokens per session (1,238 once invoked), scanned A, original, MIT.

A writing guide for creating personalized LinkedIn connection requests, private messages, and follow-ups. LinkedIn is a professional networking site, and an InMail is a message sent to someone outside your connections.

In plain words
What is it for?
Use it to draft connection requests, InMails, and follow-up messages, including connection requests limited to 300 characters.
Why use it?
It helps avoid generic outreach by focusing each message on the specific person, timing, and reason for contact.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to draft connection requests, InMails, and follow-up messages, including connection requests limited to 300 characters.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wingedguardian/genesis-agi/linkedin-dm-outreach
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add WingedGuardian/GENesis-AGI --skill linkedin-dm-outreach
Clone the repo
git clone --depth 1 https://github.com/WingedGuardian/GENesis-AGI

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for linkedin-dm-outreach

README.md
[![agentmods](https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/linkedin-dm-outreach/github.svg)](https://agentmods.dev/skills/wingedguardian/genesis-agi/linkedin-dm-outreach)
Your own site
<a href="https://agentmods.dev/skills/wingedguardian/genesis-agi/linkedin-dm-outreach"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/linkedin-dm-outreach/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for linkedin-dm-outreach

Your own site · 80×15
<a href="https://agentmods.dev/skills/wingedguardian/genesis-agi/linkedin-dm-outreach"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/linkedin-dm-outreach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,238 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.01238
Opus 5 $0.00044 $0.00619
Sonnet 5 $0.00017 $0.00248
Haiku 4.5 $0.00009 $0.00124

Measured 12d ago against content hash be1ac536d8a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

linkedin-dm-outreach scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

src/genesis/skills/linkedin-dm-outreach/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn DM Outreach

Purpose

Write personalized LinkedIn messages — connection requests, InMails, and follow-up messages — that get responses instead of being ignored. Every message must demonstrate genuine relevance: why THIS person, why NOW, why the user is worth responding to.

Voice Loading

Load the user's voice via voice-master's overlay resolution before drafting:

  1. Read ../voice-master/SKILL.md and follow its User Calibration Overlay section to load exemplars and voice-dimensions from the out-of-repo overlay (or template fallback with warning if no overlay).
  2. This skill's medium is professional. Select professional-medium exemplars from whatever voice-master loads.
  3. Read ../voice-master/references/anti-slop.md — apply the Universal and Professional / LinkedIn sections.

If no overlay is present, voice-master falls back to generic voice guidance and warns — note this in your output.

DMs are the most personal LinkedIn format — sounding templated here is fatal. One bad outreach message can permanently close a door.

Message Types

Connection Request (300 characters max)

The hardest format. 300 characters to establish relevance and earn a click.

Rules:

  • Name a specific reason for connecting (shared interest, their content, mutual connection, specific role/company)
  • No generic "I'd love to add you to my network"
  • No pitching in the connection request — ever
  • If there's no genuine reason to connect, don't send the request

Structure: "[Specific reference to them or their work]. [Why connecting makes sense for both sides — in one sentence]."

First Message (after connecting)

Sent after a connection request is accepted, or to an existing connection.

Rules:

  • Thank them for connecting (brief, not gushing)
  • Reference something specific about them or their work
  • State your reason for reaching out clearly
  • Ask one specific question or make one specific offer
  • Keep under 150 words — respect their time
  • No "I hope this message finds you well"
  • No walls of text about yourself

Read the full file on GitHub · 154 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 154 lines · 87 tokens per session scan A be1ac536d8a0

Subscribe to this mod's changes

linkedin-dm-outreach is a skill published in the GitHub repository WingedGuardian/GENesis-AGI (96 stars, last pushed yesterday), licensed MIT. It adds 87 tokens to every session and 1,238 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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