b2b-outreach-skills: Skill for Claude Code

.claude/skills/aictrl-linkedin-outreach/SKILL.md

aictrl-linkedin-outreach is a skill for Claude Code from vasparshin/b2b-outreach-skills. It costs 202 tokens per session (4,871 once invoked), scanned A, original, no licence file.

An automated LinkedIn outreach task for a CRM pipeline. It finds up to 15 candidates not yet contacted, sends connection requests without notes, and records the results in the CRM Log.

In plain words
What is it for?
Use it for daily batches of LinkedIn connection requests and in-place CRM updates, while leaving Apollo data unchanged.
Why use it?
It removes the repetitive work of finding untouched candidates, sending requests, and updating their rows.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is vasparshin/b2b-outreach-skills's own configuration. It tells Claude Code how to work on b2b-outreach-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything b2b-outreach-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to vasparshin/b2b-outreach-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/vasparshin/b2b-outreach-skills/master/.claude/skills/aictrl-linkedin-outreach/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/vasparshin/b2b-outreach-skills

Made for: Claude Code.

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 aictrl-linkedin-outreach

README.md
[![agentmods](https://agentmods.dev/badge/skills/vasparshin/b2b-outreach-skills/aictrl-linkedin-outreach/github.svg)](https://agentmods.dev/skills/vasparshin/b2b-outreach-skills/aictrl-linkedin-outreach)
Your own site
<a href="https://agentmods.dev/skills/vasparshin/b2b-outreach-skills/aictrl-linkedin-outreach"><img src="https://agentmods.dev/badge/skills/vasparshin/b2b-outreach-skills/aictrl-linkedin-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 aictrl-linkedin-outreach

Your own site · 80×15
<a href="https://agentmods.dev/skills/vasparshin/b2b-outreach-skills/aictrl-linkedin-outreach"><img src="https://agentmods.dev/badge/skills/vasparshin/b2b-outreach-skills/aictrl-linkedin-outreach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 202 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,871 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00202 $0.04871
Opus 5.5 $0.00081 $0.01948
Sonnet 5.5 $0.00040 $0.00974
Haiku 4.5 $0.00020 $0.00487

Measured 2mo ago against content hash 2e33124c3933, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aictrl-linkedin-outreach scanned grade A with 1 finding 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 2mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

LATEST=$(curl -s https://pypi.org/pypi/linkedin-scraper-mcp/json | jq -r '.info.version')
.claude/skills/aictrl-linkedin-outreach/SKILL.md · 239 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2mo ago First seen · 239 lines · 202 tokens per session scan A 2e33124c3933

Subscribe to this mod's changes

aictrl-linkedin-outreach is a skill published in the GitHub repository vasparshin/b2b-outreach-skills (0 stars, last pushed 2mo ago), with no licence file. It adds 202 tokens to every session and 4,871 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

aictrl-linkedin-outreach compared with skills from other repositories

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