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 commands/rockyco/claude-linkedin-plugin/postgit clone --depth 1 https://github.com/rockyco/claude-linkedin-pluginWrote 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/commands/rockyco/claude-linkedin-plugin/post)<a href="https://agentmods.dev/commands/rockyco/claude-linkedin-plugin/post"><img src="https://agentmods.dev/badge/commands/rockyco/claude-linkedin-plugin/post.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 | $0.00025 | $0.02098 |
| Opus 5 | $0.00013 | $0.01049 |
| Sonnet 5 | $0.00005 | $0.00420 |
| Haiku 4.5 | $0.00003 | $0.00210 |
Grade A, and why
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 4d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Post (Local Bundle)
Produce a LinkedIn-ready bundle locally. The user reviews the files and uploads manually via https://www.linkedin.com/feed/?shareActive=true. This command does not call the LinkedIn API.
Follow the linkedin-api skill for 2026-algorithm-optimized content rules (dwell-time hook, 1000-1300 char body, numbered carousel frameworks, no engagement bait, 3-5 hashtags, no em-dashes, no external URLs).
Step 1 - Pick the target directory
Default: <project-root>/docs/linkedin/. Fall back to <project-root>/linkedin/ if docs/ does not exist.
If the working directory does not look like a project root or the location is ambiguous, use AskUserQuestion to confirm.
Create the directory if missing:
mkdir -p "<project>/docs/linkedin"
Step 2 - Decide the format
Default by content type:
- Technical / B2B / explanatory -> PDF document carousel (5-10 slides at 1080x1080). Highest 2026 engagement.
- Opinion, discussion, short take -> text-only
- Announcement / launch with one visual -> single image (1200x627)
If unclear, ask:
What format? options:
1) PDF carousel (5-10 slides, highest engagement, recommended for technical content)
2) Multi-image carousel (2-9 PNGs, similar engagement, quicker to produce)
3) Single image (1200x627, lowest engagement but simple)
4) Text only (short discussion-style post)
Step 3 - Draft and save the post text
Apply every rule from the linkedin-api skill. Summary:
- First 3 lines hook the reader (contrarian, unexpected stat, high-stakes problem, origin, or question)
- Body 1000-1300 chars, 2-3 line paragraphs with white space
- No em-dashes, no "Comment YES" / "DM me" / "link in comment" bait, no polls
- Close with an open question CTA (5+ word reply invited)
- 3-5 hashtags on the last line(s), first tag is the most relevant
Write to <dir>/post.txt:
# Use the Write tool (not bash heredoc) for multi-line text.
Validate:
wc -c <dir>/post.txt # aim for 1000-1300, hard cap 3000
grep -cE '—|–' <dir>/post.txt # em-dash count should be 0
grep -ciE 'comment yes|dm me|follow for more|tag someone|like this post to' <dir>/post.txt # banned bait
grep -cE '^#' <dir>/post.txt # sanity
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.
- 4d ago First seen · 182 lines · 25 tokens per session scan A dbf20215a91b
post is a command published in the GitHub repository rockyco/claude-linkedin-plugin (2 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 2,098 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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x-post
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gen-video
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brand-generate
Generate an on-brand document from a saved Brand Profile.
media
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video
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Design an illustration style guide, icon system, or SVG asset set for a product or brand.