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/jonathimer/devmarketing-skills/linkedin-technicalnpx skills add jonathimer/devmarketing-skills --skill linkedin-technicalgit clone --depth 1 https://github.com/jonathimer/devmarketing-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/jonathimer/devmarketing-skills/linkedin-technical)<a href="https://agentmods.dev/skills/jonathimer/devmarketing-skills/linkedin-technical"><img src="https://agentmods.dev/badge/skills/jonathimer/devmarketing-skills/linkedin-technical.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 | $0.00069 | $0.02816 |
| Opus 5 | $0.00034 | $0.01408 |
| Sonnet 5 | $0.00014 | $0.00563 |
| Haiku 4.5 | $0.00007 | $0.00282 |
Grade A, and why
linkedin-technical 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 5d 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 — 442 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn for Technical Audiences
LinkedIn is where B2B developer tools win deals. This skill covers technical content that works on LinkedIn, reaching engineering managers and decision-makers, and knowing when LinkedIn beats Twitter.
Before You Start
- Read
.agents/developer-audience-context.mdif it exists - Assess your LinkedIn presence (profile, connections, content history)
- Understand: LinkedIn rewards different content than developer Twitter
When LinkedIn Beats Twitter
LinkedIn's Unique Value
| Factor | LinkedIn advantage |
|---|---|
| B2B decisions | Decision-makers are here |
| Enterprise reach | CTOs, VPs, directors active |
| Company context | See role, company, team size |
| Professional network | Second-degree reach is valuable |
| Long-form content | Articles rank in Google |
| Lead generation | Built-in company/role targeting |
Use LinkedIn When
| Scenario | Why |
|---|---|
| Selling to enterprises | Buyers are on LinkedIn |
| Reaching engineering managers | More managers here than Twitter |
| Recruiting developer users | Professional context |
| B2B partnerships | Companies > individuals |
| Industry/vertical targeting | Company data available |
| Longer professional content | Newsletters, articles |
Use Twitter When
| Scenario | Why |
|---|---|
| Individual developers | More devs on Twitter |
| Real-time engagement | Faster conversation |
| Open source projects | Community is on Twitter |
| Casual/authentic voice | LinkedIn is more formal |
| Technical hot takes | Twitter thrives on debate |
Understanding LinkedIn's Audience
Who's Actually Active
| Segment | Engagement level | What they consume |
|---|---|---|
| Engineering managers | High | Leadership, team building |
| CTOs/VPs Engineering | Medium | Strategy, industry trends |
| Tech recruiters | Very high | Talent, employer branding |
| DevRel/Developer advocates | High | Community, content tactics |
| Solution architects | Medium | Technical evaluations |
| Individual developers | Lower | Career, learning |
What ships with it
1 file 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.
- 5d ago First seen · 442 lines · 69 tokens per session scan A b177b5e19bd0
linkedin-technical is a skill published in the GitHub repository jonathimer/devmarketing-skills (86 stars, last pushed 6mo ago), licensed MIT. It adds 69 tokens to every session and 2,816 once invoked, about $0.0003 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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