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 schwepps/skills --skill linkedin-personal-brandinggit clone --depth 1 https://github.com/schwepps/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/schwepps/skills/linkedin-personal-branding)<a href="https://agentmods.dev/skills/schwepps/skills/linkedin-personal-branding"><img src="https://agentmods.dev/badge/skills/schwepps/skills/linkedin-personal-branding/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/schwepps/skills/linkedin-personal-branding"><img src="https://agentmods.dev/badge/skills/schwepps/skills/linkedin-personal-branding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00108 | $0.08030 |
| Opus 5 | $0.00054 | $0.04015 |
| Sonnet 5 | $0.00022 | $0.01606 |
| Haiku 4.5 | $0.00011 | $0.00803 |
Grade A, and why
linkedin-personal-branding 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 875 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Personal Branding Skill
⚠️ CRITICAL: Mandatory Requirements
Every audit MUST include these elements - no exceptions:
| Requirement | What | Why |
|---|---|---|
| Industry Classification | Identify user's industry/sector | Determines which benchmarks to apply |
| Profile Type | Employee / Consultant / Freelancer / Entrepreneur / Job Seeker | Affects recommendations (e.g., Services section) |
| Target Audience | Recruiters / Clients / Peers / Investors / Partners | Shapes content and positioning strategy |
| Engagement Rate | CALCULATED: (R+C+S)/Impressions×100 | Raw numbers alone are meaningless |
| SSI Score | Actual score OR estimation with note | Key performance indicator |
These fields appear in the report header and metrics section. Do not skip them.
Overview
This skill enables comprehensive LinkedIn profile analysis, personal branding assessment, and actionable optimization recommendations using Claude for Chrome browser automation. It helps professionals improve their visibility, engagement, and professional positioning on LinkedIn.
Works for ANY industry: Tech, Finance, Healthcare, Legal, Marketing, HR, Consulting, Creative, Nonprofit, and more. See references/metrics_benchmarks.md for industry-specific benchmarks.
Requirements:
- Claude for Chrome extension installed and connected
- User has LinkedIn profile open in their browser
- User is logged into LinkedIn (for access to private metrics like profile views)
Core Workflow
Step 1: Determine Analysis Type
Identify what type of LinkedIn work is needed:
A. Full Profile Audit
- Comprehensive analysis of all profile elements
- Output: Complete audit report with scores and recommendations
B. Quick Profile Review
- Fast assessment of key profile elements
- Output: Priority action items and quick wins
C. Content Strategy Analysis
- Focus on posts, engagement, and content performance
- Output: Content recommendations and posting strategy
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 875 lines · 108 tokens per session scan A a1b88c106aea
linkedin-personal-branding is a skill published in the GitHub repository schwepps/skills (16 stars, last pushed 7mo ago), licensed MIT. It adds 108 tokens to every session and 8,030 once invoked, about $0.0005 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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