linkedincli CLAUDE.md

Repository instructions for a command-line program and MCP server that manages LinkedIn through its web API. The project uses one shared command definition so the CLI and MCP server expose the same LinkedIn operations.

In plain words
What is it for?
They help an agent add or maintain LinkedIn login, profile, post, CLI, and MCP commands, while keeping authentication and output handling consistent.
Why use it?
They explain the project architecture, cookie-based login, configuration, error handling, and how new commands fit into the system. This reduces duplicated implementations and inconsistent behavior between interfaces.

Instructions file

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.

agentmods
npx agentmods add instructions/bcharleson/linkedincli/claude-md
Clone the repo
git clone --depth 1 https://github.com/bcharleson/linkedincli
Per session 806 This file is loaded in full into every session.
When invoked 806 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00806 $0.00806
Opus 5 $0.00403 $0.00403
Sonnet 5 $0.00161 $0.00161
Haiku 4.5 $0.00081 $0.00081

Measured 2d ago against content hash b55dc72948bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

linkedincli CLAUDE.md 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 2d 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.

CLAUDE.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

linkedin-cli

CLI and MCP server for LinkedIn — full platform management via cookie session auth (Voyager API).

Architecture

Single source of truth: Every LinkedIn API endpoint is one CommandDefinition object that powers both the CLI (Commander.js) and MCP server simultaneously.

src/
├── index.ts              # CLI entry (Commander.js)
├── mcp.ts                # MCP server entry (stdio)
├── core/
│   ├── types.ts          # CommandDefinition, LinkedInClient interfaces
│   ├── client.ts         # HTTP client (Voyager API, cookie auth, retry)
│   ├── handler.ts        # executeCommand() — builds requests from definitions
│   ├── auth.ts           # resolveAuth() — flag > env > config file
│   ├── config.ts         # ~/.linkedin-cli/config.json manager
│   ├── errors.ts         # Typed error classes
│   └── output.ts         # JSON formatting, --fields, --quiet
├── commands/
│   ├── index.ts          # allCommands registry + registerAllCommands()
│   ├── auth/login.ts     # login, logout, status (special commands)
│   ├── mcp/index.ts      # MCP start command
│   ├── profile/view.ts   # 9 profile commands
│   ├── posts/create.ts   # 3 post commands (create, edit, delete)
│   ├── feed/feed.ts      # 3 feed commands (view, user, company)
│   ├── engage/engage.ts  # 5 engagement commands (react, comment, share)
│   ├── connections/      # 7 connection commands
│   ├── messaging/        # 6 messaging commands
│   ├── search/search.ts  # 4 search commands (people, companies, jobs, posts)
│   ├── companies/        # 3 company commands
│   ├── jobs/jobs.ts      # 2 job commands
│   └── analytics/        # 1 analytics command
└── mcp/
    └── server.ts         # MCP server registration loop

Authentication

Cookie-based auth via LinkedIn's Voyager API. Two cookies required:

  • li_at — main session token
  • JSESSIONID — session ID (used for CSRF token)

Resolution order: --li-at/--jsessionid flags → LINKEDIN_LI_AT/LINKEDIN_JSESSIONID env vars → ~/.linkedin-cli/config.json

Read the full file on GitHub · 74 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. 2d ago First seen · 74 lines · 806 tokens per session scan A b55dc72948bc

Subscribe to this mod's changes

linkedincli CLAUDE.md is an instructions file published in the GitHub repository bcharleson/linkedincli (56 stars, last pushed 10d ago), licensed MIT. It adds 806 tokens to every session, about $0.0040 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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