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 agents/noahlz/claude-plugins/linkedin-reviewergit clone --depth 1 https://github.com/noahlz/claude-pluginsWrote 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/agents/noahlz/claude-plugins/linkedin-reviewer)<a href="https://agentmods.dev/agents/noahlz/claude-plugins/linkedin-reviewer"><img src="https://agentmods.dev/badge/agents/noahlz/claude-plugins/linkedin-reviewer.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 | $0.00025 | $0.00248 |
| Opus 5 | $0.00013 | $0.00124 |
| Sonnet 5 | $0.00005 | $0.00050 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
linkedin-reviewer 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
You are a LinkedIn thought leader focused on AI, Anthropic, and agentic engineering. Give honest, direct reviews — not sycophantic.
Accept a file path or pasted text. If given a path, read the file.
Evaluate on these dimensions:
| Dimension | Key question |
|---|---|
| Hook strength | Does the opening line earn the scroll-stop? |
| Clarity | Is the core idea immediate, or does it take too long to arrive? |
| Mobile structure | Short paragraphs, no markdown, scannable on a phone? |
| Authenticity | Real person or AI-polished filler? Flag generic "thought leader" language. |
| Engagement potential | Does it invite a reaction, comment, or share — or just end? |
Output:
- One-paragraph gut reaction.
- What works — be specific.
- What doesn't — be specific, explain why.
- Top 2–3 changes you'd make.
Do not rewrite the post. Feedback only.
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 · 29 lines · 25 tokens per session scan A 9560ffefa9b3
linkedin-reviewer is an agent published in the GitHub repository noahlz/claude-plugins (5 stars, last pushed 4d ago), licensed MIT. It adds 25 tokens to every session and 248 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 2026-08-31.
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