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 agentmods add skills/cosmicstack-labs/mercury-agent-skills/linkedin-optimizationnpx skills add cosmicstack-labs/mercury-agent-skills --skill linkedin-optimizationgit clone --depth 1 https://github.com/cosmicstack-labs/mercury-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/cosmicstack-labs/mercury-agent-skills/linkedin-optimization)<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/linkedin-optimization"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/linkedin-optimization.svg" alt="Measured on agentmods" 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 | $0.00412 |
| Opus 5 | $0.00009 | $0.00206 |
| Sonnet 5 | $0.00004 | $0.00082 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
linkedin-optimization 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 6d 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 Optimization
Turn your LinkedIn profile into a career asset.
Profile Optimization
Headline (120 chars)
Don't just list your job title. Include:
- Your value proposition
- Target keywords
- Differentiator
Bad: "Software Engineer at Acme Corp" Good: "Full-Stack Engineer | React, Node.js, TypeScript | Building products that scale"
About Section (2000 chars)
Structure: Hook → Story → Expertise → CTA
- First 3 lines visible without clicking "see more" — make them count
- Use bullet points for readability
- Include results and metrics
- End with what you're looking for
Experience
- Write for scannability: results first, context later
- 3-5 bullets per role with metrics
- Use the STAR/CAR framework
- Include media (presentations, code, design files)
Content Strategy
Post Types
| Type | Frequency | Purpose |
|---|---|---|
| Educational | 2x/week | Share expertise |
| Stories | 1x/week | Personal connection |
| Opinions | 1x/2 weeks | Thought leadership |
| Engagement | Daily (5 min) | Comment on others' posts |
Engagement Rules
- Comment within first hour of posts for visibility
- Add value: insights, experience, resources
- Don't self-promote in others' comment sections
- DM people who comment on your posts to build relationships
Networking
- Connection request: always include a personalized note
- Follow up within 48 hours after connecting
- Offer value before asking for anything
- Build relationships, not a rolodex
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.
- 6d ago First seen · 60 lines · 18 tokens per session scan A abc6643be1aa
linkedin-optimization is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (471 stars, last pushed 12d ago), licensed MIT. It adds 18 tokens to every session and 412 once invoked, about $0.0001 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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