playwright-humanized-linkedin

playwright-humanized-linkedin is a skill for Claude Code, Codex from njoppi2/playwright-mcp-humanized. It costs 38 tokens per session (561 once invoked), scanned B, original, Apache-2.0.

A set of instructions for coding agents that use a browser to navigate LinkedIn and complete tasks. It reuses an existing Chrome or Edge login and requires a humanized Playwright setup.

In plain words
What is it for?
It helps agents open LinkedIn, navigate pages, and carry out LinkedIn task flows through Playwright. It also provides setup commands for connecting the browser extension.
Why use it?
It gives LinkedIn tasks a defined browser workflow and operating rules. This avoids relying on unsupported browser methods or asking the user to log in again.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads ~/.codex paths; mentions Codex.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node ./packages/playwright-mcp/cli-playwright-humanized.js \.

Good fit It helps agents open LinkedIn, navigate pages, and carry out LinkedIn task flows through Playwright. It also provides setup commands for connecting the browser extension.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/njoppi2/playwright-mcp-humanized
agentmods
npx agentmods add skills/njoppi2/playwright-mcp-humanized/playwright-humanized-linkedin

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 playwright-humanized-linkedin

README.md
[![agentmods](https://agentmods.dev/badge/skills/njoppi2/playwright-mcp-humanized/playwright-humanized-linkedin/github.svg)](https://agentmods.dev/skills/njoppi2/playwright-mcp-humanized/playwright-humanized-linkedin)
Your own site
<a href="https://agentmods.dev/skills/njoppi2/playwright-mcp-humanized/playwright-humanized-linkedin"><img src="https://agentmods.dev/badge/skills/njoppi2/playwright-mcp-humanized/playwright-humanized-linkedin/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 playwright-humanized-linkedin

Your own site · 80×15
<a href="https://agentmods.dev/skills/njoppi2/playwright-mcp-humanized/playwright-humanized-linkedin"><img src="https://agentmods.dev/badge/skills/njoppi2/playwright-mcp-humanized/playwright-humanized-linkedin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 561 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00038 $0.00561
Opus 5.5 $0.00015 $0.00224
Sonnet 5.5 $0.00008 $0.00112
Haiku 4.5 $0.00004 $0.00056

Measured 2mo ago against content hash 8de42b7a5b77, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

playwright-humanized-linkedin scanned grade B 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

If the token is not explicitly provided, extract it from `~/.codex/config.toml`:
skills/playwright-humanized-linkedin/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Via Humanized Playwright MCP

Use this skill when the user asks for LinkedIn navigation or LinkedIn task flows through agents.

Mandatory Mode

  • For LinkedIn tasks, always use Playwright CLI via playwright-cli-humanized.
  • Do not use MCP browser tools (browser_navigate, browser_click, browser_run_code) for LinkedIn.
  • If Playwright MCP is configured, ignore it for LinkedIn requests.

Preconditions

  1. User has Chrome/Edge with Playwright MCP Bridge extension installed.
  2. User is already logged into LinkedIn in that browser profile.
  3. MCP server is configured with playwright-mcp-humanized --extension.

Setup

Generate setup commands:

npx -y playwright-mcp-humanized-agent setup codex
npx -y playwright-mcp-humanized-agent setup claude
npx -y playwright-mcp-humanized-agent setup gemini

For LinkedIn, run Playwright CLI mode from the local repository:

PLAYWRIGHT_MCP_EXTENSION_TOKEN=YOUR_TOKEN \
node ./packages/playwright-mcp/cli-playwright-humanized.js \
  open https://www.linkedin.com --extension --headed --browser=chrome

If the token is not explicitly provided, extract it from ~/.codex/config.toml:

PLAYWRIGHT_MCP_EXTENSION_TOKEN="$(
  python3 - <<'PY'
import re
from pathlib import Path
text = Path.home().joinpath('.codex/config.toml').read_text()
match = re.search(r'(?m)^\\s*PLAYWRIGHT_MCP_EXTENSION_TOKEN\\s*=\\s*\"([^\"]+)\"\\s*$', text)
print(match.group(1) if match else '', end='')
PY
)" node ./packages/playwright-mcp/cli-playwright-humanized.js \
  open https://www.linkedin.com --extension --headed --browser=chrome

Execution Pattern

  1. Start with read-only navigation tasks (open profile, collect visible fields, summarize page).
  2. Ask for explicit confirmation before high-impact actions (posting, messaging, invites, submissions).
  3. Keep interactions paced and limited to user-scoped intent.

Troubleshooting

  • If redirected to login, reconnect through extension and verify the active tab/profile.
  • If actions fail intermittently, retry with simpler steps and explicit waits.
  • If the site challenges the session, reduce action rate and keep manual supervision.

Read the full file on GitHub · 66 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. 2mo ago First seen · 66 lines · 38 tokens per session scan B 8de42b7a5b77

Subscribe to this mod's changes

playwright-humanized-linkedin is a skill published in the GitHub repository njoppi2/playwright-mcp-humanized (2 stars, last pushed 22d ago), licensed Apache-2.0. It adds 38 tokens to every session and 561 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

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