salesbot-outreach

salesbot-outreach is a skill for Claude Code from Kubis010/linkedin-mcp-server-salesbot. It costs 54 tokens per session (642 once invoked), scanned A, original, MIT.

A procedure for finding selected LinkedIn prospects, researching them, saving them as leads, and contacting them through Salesbot. LinkedIn is a professional networking service.

In plain words
What is it for?
Use it to find people by role, place, company, or job posting, research companies, add leads to the Salesbot CRM, and prepare personal outreach.
Why use it?
It helps replace broad, poorly targeted outreach with a smaller list of researched contacts and respects account connection and daily sending limits.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the salesbot plugin — 3 skills, 2 MCP servers shipped together

Good fit Use it to find people by role, place, company, or job posting, research companies, add leads to the Salesbot CRM, and prepare personal outreach.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kubis010/linkedin-mcp-server-salesbot/salesbot-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 Kubis010/linkedin-mcp-server-salesbot --skill salesbot-outreach
Clone the repo
git clone --depth 1 https://github.com/Kubis010/linkedin-mcp-server-salesbot

Made for: Claude Code.

Or install salesbot, the plugin that ships this one along with the rest of its 3 skills, 2 MCP servers.

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 salesbot-outreach

README.md
[![agentmods](https://agentmods.dev/badge/skills/kubis010/linkedin-mcp-server-salesbot/salesbot-outreach/github.svg)](https://agentmods.dev/skills/kubis010/linkedin-mcp-server-salesbot/salesbot-outreach)
Your own site
<a href="https://agentmods.dev/skills/kubis010/linkedin-mcp-server-salesbot/salesbot-outreach"><img src="https://agentmods.dev/badge/skills/kubis010/linkedin-mcp-server-salesbot/salesbot-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 salesbot-outreach

Your own site · 80×15
<a href="https://agentmods.dev/skills/kubis010/linkedin-mcp-server-salesbot/salesbot-outreach"><img src="https://agentmods.dev/badge/skills/kubis010/linkedin-mcp-server-salesbot/salesbot-outreach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 642 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.
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 $0.00054 $0.00642
Opus 5.5 $0.00022 $0.00257
Sonnet 5.5 $0.00011 $0.00128
Haiku 4.5 $0.00005 $0.00064

Measured 12d ago against content hash 650cd3411a03, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

salesbot-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.

skills/salesbot-outreach/SKILL.md · 37 lines

How it starts

The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Targeted LinkedIn outreach with Salesbot

Salesbot is built for a few well-chosen people, not bulk blasting. Prefer 5 strong leads over 50 weak ones.

Before anything else

  1. get_linkedin_status — if the account is not connected, call connect_linkedin and give the user the link. Stop until it is connected.
  2. get_daily_limits — know how many invitations and messages are left today. Never try to work around a limit.

Finding people

  • Known role and place: search_linkedin_people (results are not saved).

  • A Sales Navigator search or list URL from the user: search_linkedin_navigator.

  • Companies first: import_linkedin_company_list → list_companies → research with search_web → update_company_research → find the decision-maker with search_linkedin_people.

  • Companies that are hiring: search_job_postings → get_job_posting_details (its hiring_team is the person to contact).

  • About a company: read_company_website with its homepage (max 60 a day) gives a short profile and generic e-mails; save the summary with its source URLs via update_company_research. Never put a found e-mail into outreach without the user's decision.

Save every person you want to keep with upsert_linkedin_contact (pass prospect_company_id when you have it). Check check_blacklist before contacting a company.

Research

enrich_contacts (max 8 per call) loads the full profile. It visits the profile on LinkedIn, so enrich only people you really intend to contact. Use get_lead_context for everything Salesbot already knows about a lead.

Contacting

  • For more than one or two people, use a campaign (see the salesbot-campaign skill): it paces the sending and keeps the account safe.
  • One-off actions: send_connection_request, send_linkedin_message, reply_to_chat. Write the message for that person — mention something concrete from their profile or company.
  • If a tool answers APPROVAL_REQUIRED, the message waits for the user in the Salesbot app. Tell the user; never say it was sent.

Read the full file on GitHub · 37 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 · 37 lines · 54 tokens per session scan A 650cd3411a03

Subscribe to this mod's changes

salesbot-outreach is a skill published in the GitHub repository Kubis010/linkedin-mcp-server-salesbot (1 stars, last pushed 8d ago), licensed MIT. It adds 54 tokens to every session and 642 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-04.

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