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 hamzafarooq/claude-code-starter --skill linkedin-postgit clone --depth 1 https://github.com/hamzafarooq/claude-code-starterWrote 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/hamzafarooq/claude-code-starter/linkedin-post)<a href="https://agentmods.dev/skills/hamzafarooq/claude-code-starter/linkedin-post"><img src="https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/linkedin-post/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/hamzafarooq/claude-code-starter/linkedin-post"><img src="https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/linkedin-post.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 | $0.00054 | $0.00310 |
| Opus 5.5 | $0.00022 | $0.00124 |
| Sonnet 5.5 | $0.00011 | $0.00062 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
linkedin-post 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.
What it actually says
Ask the user:
- "What's the topic, idea, or URL you want to post about?"
- "What's your goal for this post — build audience, drive clicks, share a lesson, or something else?"
- (Optional) "Paste 1–2 examples of your past LinkedIn posts so I can match your voice."
Then write 2 versions of the post:
Version A — Story-led
Opens with a specific moment or observation. Builds to a lesson. Ends with a question or soft CTA.
Version B — Insight-led
Opens with the counterintuitive claim. Backs it up with 3 short supporting points. Ends with a clear takeaway.
Rules for both versions:
- First line must work as a standalone hook — the reader decides to expand based on that line alone
- No "I'm excited to share…" or "Thrilled to announce…"
- Line breaks every 1–2 sentences (LinkedIn format)
- 150–250 words max
- End with one question or CTA, not both
- 3–5 relevant hashtags at the bottom
Ask: "Which version do you prefer? I can adjust tone or punch up the hook."
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 · 32 lines · 54 tokens per session scan A 98c60eb4ec2e
linkedin-post is a skill published in the GitHub repository hamzafarooq/claude-code-starter (145 stars, last pushed 7d ago), licensed MIT. It adds 54 tokens to every session and 310 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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