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 YangsonHung/awesome-agent-skills --skill linkedingit clone --depth 1 https://github.com/YangsonHung/awesome-agent-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/yangsonhung/awesome-agent-skills/linkedin)<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/linkedin"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-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/yangsonhung/awesome-agent-skills/linkedin"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-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 | $0.00044 | $0.00411 |
| Opus 5 | $0.00022 | $0.00205 |
| Sonnet 5 | $0.00009 | $0.00082 |
| Haiku 4.5 | $0.00004 | $0.00041 |
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 9d 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.
What it actually says
LinkedIn Automation
Overview
Drive LinkedIn from the command line with the linkedin CLI, powered by Linked API cloud browsers. Fetch and search profiles and companies, send messages and connection requests, publish posts, react and comment, run Sales Navigator searches, and extract structured data about people, companies, and posts.
When to Use
Use this skill when an agent needs to interact with LinkedIn programmatically: outreach at scale, lead research, network management, content publishing, or data extraction.
Capabilities
- Fetch and search: profiles, companies, people search, Sales Navigator search
- Engage: send messages, connection requests, reactions, comments
- Publish: create posts
- Extract: structured data about people, companies, and posts
Do not use
Do not use this skill to:
- Bypass LinkedIn access controls, rate limits, or account security
- Store or expose LinkedIn credentials, session cookies, or access tokens
- Send messages, connection requests, reactions, comments, or posts without the user's explicit approval
Instructions
- Confirm the LinkedIn action, target, and intended audience before any write operation.
- Keep Linked API credentials in the user's secure environment; use placeholders in examples.
- Prefer read-only profile, company, search, and extraction operations until the user approves a write.
- Summarize the target and content and obtain confirmation immediately before sending, posting, or changing data.
- Respect LinkedIn policies, consent, privacy, and rate limits; stop when authentication or access is unavailable.
Notes
Each command runs a real cloud browser through Linked API, so operations take seconds to minutes rather than being instant. Requires a Linked API account and tokens. Docs: https://linkedapi.io
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.
- 9d ago First seen · 41 lines · 44 tokens per session scan A 5947b3b28616
linkedin is a skill published in the GitHub repository YangsonHung/awesome-agent-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 411 once invoked, about $0.0002 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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