handle-linkedin-connection-request-signal

handle-linkedin-connection-request-signal is a skill for Claude Code, Codex from swan-gtm/gtm-skills. It costs 160 tokens per session (3,279 once invoked), scanned A, original, MIT.

An inbound-sales workflow for handling LinkedIn connection requests sent to a team member. It identifies and enriches the requester, checks company fit and sales context, and routes the request according to defined rules.

In plain words
What is it for?
It is for processing LinkedIn connection signals, updating a CRM, applying lead-scoring and reactivation rules, and notifying the right team channel.
Why use it?
It prevents every connection request from being treated the same way and keeps unsuitable or internal requests from creating unnecessary sales work.

Skill for Claude CodeCodex

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

Good fit It is for processing LinkedIn connection signals, updating a CRM, applying lead-scoring and reactivation rules, and notifying the right team channel.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/swan-gtm/gtm-skills/handle-linkedin-connection-request-signal
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 swan-gtm/gtm-skills --skill handle-linkedin-connection-request-signal
Clone the repo
git clone --depth 1 https://github.com/swan-gtm/gtm-skills

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 handle-linkedin-connection-request-signal

README.md
[![agentmods](https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/handle-linkedin-connection-request-signal/github.svg)](https://agentmods.dev/skills/swan-gtm/gtm-skills/handle-linkedin-connection-request-signal)
Your own site
<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/handle-linkedin-connection-request-signal"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/handle-linkedin-connection-request-signal/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 handle-linkedin-connection-request-signal

Your own site · 80×15
<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/handle-linkedin-connection-request-signal"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/handle-linkedin-connection-request-signal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 160 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,279 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 $0.00160 $0.03279
Opus 5 $0.00080 $0.01639
Sonnet 5 $0.00032 $0.00656
Haiku 4.5 $0.00016 $0.00328

Measured 9d ago against content hash 2ee73495ae0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

handle-linkedin-connection-request-signal 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 9d 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.

skills/ariel-cohen/handle-linkedin-connection-request-signal/SKILL.md · 269 lines

How it starts

The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Template placeholders

Replace every {{...}} before enabling. See the setup checklist reference for the full setup list.

  • {{PROFILE_OWNER}} — Team member whose inbound connection requests are processed
  • {{CRM}} — Your CRM (e.g. HubSpot, Attio)
  • {{INTERNAL_DOMAINS}} — Your company domain(s); requests from these stop silently
  • {{VISIBILITY_CHANNEL}} — Slack channel that gets one visibility post per processed request
  • {{CRM_HYGIENE_SKILL}} — Sub-skill reference: how to create/update companies & contacts in your CRM
  • {{LEAD_SCORING_SKILL}} — Sub-skill reference: your lead scoring & qualification methodology (its normal MQL alerting stays on)
  • {{REACTIVATION_SKILL}} — Sub-skill reference: how you handle closed-lost account reactivation (optional — skip the reactivation branch's owner notification if you don't have one)
  • {{SELF_SERVE_THRESHOLD}} — Company profile below which accounts route self-serve rather than MQL (default: fewer than 50 employees AND ≤$10M raised)
  • {{REACTIVATION_WINDOW}} — Minimum time since a closed-lost deal before a request counts as a reactivation signal (default: ~90 days)

Overview

This skill runs when someone sends {{PROFILE_OWNER}} a LinkedIn connection request. The requester reached out to YOU — this is a deliberate, active first-party intent signal, meaningfully stronger than a passive profile view. The job is: resolve + enrich the requester and their company, gate it, attach to CRM per standard hygiene, and score the signal.

Golden rule — the CRM is never polluted. Only a requester who is identified + company-resolved + not-internal + not-a-current-customer + ICP-matched ever reaches a CRM write. Everyone else is silently discarded or logged to account memory only.

The webhook trigger only validates + routes. All behavior lives here.

Payload shape

The routing trigger passes a single, already-deduplicated signal with the person's name, LinkedIn member id / URL, headline, and the invitation note (or null), plus a detection timestamp. Be robust to both a structured person object and a stringified context blob carrying the same fields.

Read the full file on GitHub · 269 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 269 lines · 160 tokens per session scan A 2ee73495ae0c

Subscribe to this mod's changes

handle-linkedin-connection-request-signal is a skill published in the GitHub repository swan-gtm/gtm-skills (150 stars, last pushed 2d ago), licensed MIT. It adds 160 tokens to every session and 3,279 once invoked, about $0.0008 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 2026-09-03.

Related

Other skills, from other repositories

afrexai-lead-hunter

Enterprise-grade B2B lead generation, enrichment, scoring, and outreach sequencing for AI agents. Find ideal prospects, enrich with verified data, score against your ICP, and generate personalized outreach — all autonomously.

LeoYeAI/openclaw-master-skills · 50 tokens

proposals

Use when writing the document a buyer reads to say yes — a commercial proposal or Statement of Work, turning discovery notes into a scoped and priced document, adding tiers so the middle one wins, or diagnosing a proposal that will not close. NOT the binding legal agreement with its liability and IP clauses (that is…

ericrisco/rsc-harness · 100 tokens

co-founder-dynamics

Complete co-founder playbook for technical founders — finding co-founders, equity splits (dynamic and static), co-founder agreements, vesting schedules, working relationships, conflict resolution, co-founder breakups, and the "dating before marrying" framework. Use when looking for a co-founder, structuring a founding…

LeadMagic/gtm-skills · 91 tokens

support-tool-stack

Customer support platform selection, setup, and optimization — Intercom, Zendesk, Front, Help Scout, HubSpot Service Hub, Linear, and AI-native tools. Use when choosing a support platform, migrating tools, setting up help desk workflows, designing ticket routing, building macros and saved replies, or integrating…

LeadMagic/gtm-skills · 86 tokens

advisor-recruitment

Strategic advisor recruitment for B2B SaaS founders. Use when building advisory board, recruiting individual advisors, structuring advisor compensation (equity grants), defining advisory scope, leveraging advisors for intros/references/customers, and managing ongoing advisor relationships.

LeadMagic/gtm-skills · 55 tokens

engineer-to-founder

Translate engineering strengths into founder-led GTM: customer discovery, positioning, demos, technical proof, founder sales habits, and first repeatable motion. Use when a technical founder needs to sell, do customer interviews, explain value without feature dumping, or build GTM confidence.

LeadMagic/gtm-skills · 59 tokens