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.
npx skills add Linked-API/linkedin-skills --skill linkedingit clone --depth 1 https://github.com/Linked-API/linkedin-skillsWrote 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.
[](https://agentmods.dev/skills/linked-api/linkedin-skills/linkedin)<a href="https://agentmods.dev/skills/linked-api/linkedin-skills/linkedin"><img src="https://agentmods.dev/badge/skills/linked-api/linkedin-skills/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.
<a href="https://agentmods.dev/skills/linked-api/linkedin-skills/linkedin"><img src="https://agentmods.dev/badge/skills/linked-api/linkedin-skills/linkedin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00039 | $0.06222 |
| Opus 5.5 | $0.00016 | $0.02489 |
| Sonnet 5.5 | $0.00008 | $0.01244 |
| Haiku 4.5 | $0.00004 | $0.00622 |
Grade A, and why
linkedin 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 today.
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.
This is a copy
91% identical to linkedin — 144 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 658 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Skill
You have access to linkedin – a CLI tool for LinkedIn automation. Use it to fetch profiles, search people and companies, send messages, manage connections, create posts, react, comment, and more.
Each command sends a request to Linked API, which runs a real cloud browser to perform the action on LinkedIn. Operations are not instant – expect 30 seconds to several minutes depending on complexity.
If linkedin is not available, install it:
npm install -g @linkedapi/linkedin-cli
Authentication
If a command fails with exit code 2 (authentication error), ask the user to set up their account:
- Go to app.linkedapi.io and sign up or log in
- Connect their LinkedIn account
- Copy the Linked API Token and Identification Token from the dashboard
Once the user provides the tokens, run:
linkedin setup --linked-api-token=TOKEN --identification-token=TOKEN
Global Flags
Always use --json and -q for machine-readable output:
LINKEDAPI_CLIENT=skill:linkedin linkedin <command> --json -q
When using this skill, run every linkedin ... example below with the
LINKEDAPI_CLIENT=skill:linkedin prefix so Linked API can attribute usage to the skill.
| Flag | Description |
|---|---|
--json |
Structured JSON output |
--quiet / -q |
Suppress stderr progress messages |
--fields name,url,... |
Select specific fields in output |
--no-color |
Disable colors |
--account "Name" |
Use a specific account for this command |
Output Format
Success:
{"success": true, "data": {"name": "John Doe", "headline": "Engineer"}}
Error:
{"success": false, "error": {"type": "personNotFound", "message": "Person not found"}}
Exit code 0 means the API call succeeded – always check the success field for the action outcome. Non-zero exit codes indicate infrastructure errors:
| Exit Code | Meaning |
|---|---|
| 0 | Success (check success field – action may have returned an error like "person not found") |
| 1 | General/unexpected error |
| 2 | Missing or invalid tokens |
| 3 | Subscription/plan required |
| 4 | LinkedIn account issue |
| 5 | Invalid arguments |
| 6 | Rate limited |
| 7 | Network error |
| 8 | Workflow timeout (workflowId returned for recovery) |
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.
- today Changed · +17 lines 5d518b8cf157
- 4d ago Changed · +27 lines dba6ad80c92b
- 8d ago Changed · +33 lines 3f32c98926bd
- 11d ago Changed · +8 lines f199751efed5
- 17d ago Changed · +26 lines 545ce70238a6
- 1mo ago First seen · 547 lines · 39 tokens per session scan A 655c8f4efc15
linkedin is a skill published in the GitHub repository Linked-API/linkedin-skills (97 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 6,222 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to linkedin, differing in 144 lines, and is treated as a copy.
Other skills, from other repositories
ai-search-browser-use
Use this skill when a task needs AI-assisted web research via a real browser. Uses Chrome CDP (Chrome DevTools Protocol) as the primary automation method, with browser-use as fallback. Supports Gemini + Qwen queries with consolidated answers and citations.
dingtalk_channel_connect
Use a headed browser to automatically complete DingTalk channel integration for QwenPaw. Applicable when the user mentions DingTalk, developer console, Client ID, Client Secret, bot, Stream mode, binding or configuring a channel. Supports pausing when a login page is detected and resuming after the user logs in.
browser_cdp
Browser connection controls for finding local debugging ports, attaching to an already running Chrome browser, or sharing one browser between tools.
browser_visible
Browser launch controls for choosing whether a Chromium-based browser window is visible, which browser program to run, and which startup options to pass.
browser_visible
Use this skill when the user needs to control the browser launch mode for browser. By default browser is managed by Playwright and opens no debugging port (pass an explicit cdpport to let another local tool attach); headed controls whether the window is visible, and privatemode is kept for backward compatibility and…
skill-body
Call help() or help("page.click") to print signatures and uncommon options of APIs named below; it prints by itself, so do not wrap it in console.log. For installation or connection problems, read references/install.md in the ego-browser Skill directory.