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 Natsummerance/readMD --skill linkedin-profile-optimizergit clone --depth 1 https://github.com/Natsummerance/readMDWrote 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/natsummerance/readmd/linkedin-profile-optimizer)<a href="https://agentmods.dev/skills/natsummerance/readmd/linkedin-profile-optimizer"><img src="https://agentmods.dev/badge/skills/natsummerance/readmd/linkedin-profile-optimizer/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/natsummerance/readmd/linkedin-profile-optimizer"><img src="https://agentmods.dev/badge/skills/natsummerance/readmd/linkedin-profile-optimizer.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 | $0.00018 | $0.02297 |
| Opus 5.5 | $0.00007 | $0.00919 |
| Sonnet 5.5 | $0.00004 | $0.00459 |
| Haiku 4.5 | $0.00002 | $0.00230 |
Grade A, and why
linkedin-profile-optimizer 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 1mo 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.
This is a copy
100% identical to linkedin-profile-optimizer — 0 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 — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Profile Optimizer
When to Use This Skill
Use this skill when the user wants to:
- Optimize their LinkedIn profile for job searching
- Improve LinkedIn visibility and searchability
- Sync their resume with their LinkedIn profile
- Attract recruiters and job opportunities
- Mentions: "LinkedIn", "LinkedIn profile", "optimize LinkedIn", "LinkedIn headline", "recruiter"
Core Capabilities
- Optimize headline for searchability
- Write compelling About/Summary sections
- Structure Experience section for impact
- Improve profile completeness score
- Add relevant keywords for recruiter searches
- Align LinkedIn with resume while leveraging platform differences
LinkedIn vs. Resume: Key Differences
| Aspect | Resume | |
|---|---|---|
| Length | 1-2 pages | Unlimited |
| Tone | Formal | More conversational |
| Keywords | Job-specific | Industry-wide |
| Audience | One specific employer | All recruiters |
| Updates | Per application | Always current |
| Personality | Minimal | Show more |
Profile Section Optimization
1. Profile Photo
Requirements:
- Professional headshot (not casual photo)
- Face takes up 60% of frame
- Neutral or branded background
- Good lighting, high resolution
- Appropriate attire for your industry
- Friendly expression (slight smile)
Impact: Profiles with photos get 21x more views
2. Background Banner
Best Practices:
- Use a professional design or industry-related image
- Can include personal branding elements
- Size: 1584 x 396 pixels
- Avoid busy patterns that distract from your photo
Options:
- Company brand (if appropriate)
- Industry-related imagery
- Professional abstract design
- Personal brand statement
3. Headline (Most Important for Searchability)
Character Limit: 220 characters
Formula: [Role] | [Key Expertise] | [Value Proposition]
Examples:
❌ Weak Headlines:
- "Looking for opportunities"
- "Unemployed Product Manager"
- "Student at University"
- "Open to work"
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.
- 1mo ago First seen · 371 lines · 18 tokens per session scan A 3fffcd58f30f
linkedin-profile-optimizer is a skill published in the GitHub repository Natsummerance/readMD (26 stars, last pushed 16d ago), licensed MIT. It adds 18 tokens to every session and 2,297 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to linkedin-profile-optimizer, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
gonavi-cli
Operate databases through the GoNavi headless CLI — the gonavi executable shipped in verified GitHub Release archives. Covers listing/adding/importing saved connections, running SQL queries against saved connections or ad-hoc connection files, exporting result sets to csv/json/md/html/xlsx, batch-executing SQL files…
electron-expert
Expert in Electron framework, desktop app development, IPC, and cross-platform packaging. Use when the user mentions desktop, Node.js, cross platform, Windows, macOS, or Linux, or when the task involves Electron Architecture, Process Types, IPC Communication, or App Lifecycle.
react-router-v7-app
Implements React Router v7 app structure, routing patterns, and component templates. Use when creating or modifying React Router v7 applications to ensure consistent folder structure, data loading patterns, and component architecture.
kb-index
Update the workhub vault knowledge base indexes (projects/knowledge/archive index.md files). Smart mode detects changes and updates only what's needed. Full rebuild available with --full flag. Use after adding/moving documents or when indexes feel stale.
kb-lint
Health check for the workhub vault knowledge base. Detects orphan documents, broken links, index drift, tag issues, and stale content across projects/knowledge/archive. Run periodically or as part of weekly review.
shared-space
Record and use a team knowledge base that lives outside the vault - a network drive, Google Drive, OneDrive or SharePoint folder. Survey mode reads the place and writes down how it is organised into projects/NNNN- /shared/; place mode says where a vault note belongs in it. Use when the user wants to register a team…