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 Roxabi/roxabi-plugins --skill linkedin-applygit clone --depth 1 https://github.com/Roxabi/roxabi-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/skills/roxabi/roxabi-plugins/linkedin-apply)<a href="https://agentmods.dev/skills/roxabi/roxabi-plugins/linkedin-apply"><img src="https://agentmods.dev/badge/skills/roxabi/roxabi-plugins/linkedin-apply/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/roxabi/roxabi-plugins/linkedin-apply"><img src="https://agentmods.dev/badge/skills/roxabi/roxabi-plugins/linkedin-apply.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 | $0.00105 | $0.01029 |
| Opus 5 | $0.00053 | $0.00515 |
| Sonnet 5 | $0.00021 | $0.00206 |
| Haiku 4.5 | $0.00011 | $0.00103 |
Grade C, and why
linkedin-apply scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
trap 'rm -rf "$TMPDIR"' EXIT The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 Changed · -1 lines adbe20a4cd39
- 7d ago First seen · 114 lines · 105 tokens per session scan C b6cc2395c062
linkedin-apply is a skill published in the GitHub repository Roxabi/roxabi-plugins (9 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 105 tokens to every session and 1,029 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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