Borrowing it
Nothing to install: this file belongs to abdulrbasit/job-hunter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/abdulrbasit/job-hunter/main/.claude/skills/linkedin/SKILL.mdgit clone --depth 1 https://github.com/abdulrbasit/job-hunterWrote 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/abdulrbasit/job-hunter/linkedin)<a href="https://agentmods.dev/skills/abdulrbasit/job-hunter/linkedin"><img src="https://agentmods.dev/badge/skills/abdulrbasit/job-hunter/linkedin/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/abdulrbasit/job-hunter/linkedin"><img src="https://agentmods.dev/badge/skills/abdulrbasit/job-hunter/linkedin.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 | $0.00023 | $0.00417 |
| Opus 5.5 | $0.00009 | $0.00167 |
| Sonnet 5.5 | $0.00005 | $0.00083 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
linkedin 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 2mo 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
LinkedIn Command Center
Arguments: $ARGUMENTS
Safety Rules
- Never post, send, connect, follow, like, or comment automatically.
- All output is draft only — user reviews before any action.
- No fabricated proof points, contacts, or outcomes.
Routing
Normalize the first argument to lowercase. Empty argument → show menu.
ideas,post,content: execute.claude/skills/linkedin/modes/ideas.mdinline.draft,write: execute.claude/skills/linkedin/modes/draft.mdinline with remaining arguments.engage,comments: execute.claude/skills/linkedin/modes/engage.mdinline with remaining arguments.network,connect: execute.claude/skills/linkedin/modes/network.mdinline.
Unknown mode → print the command menu and ask the user to choose a listed mode.
Command Menu
LinkedIn Command Center
/linkedin ideas Generate weekly post ideas grounded in your job-search evidence
/linkedin draft <ref> Write one ready-to-post draft from an approved idea
/linkedin engage Draft comments for posts you paste in
/linkedin network Build a weekly connection queue from active job targets
Output Rules
- Execute child modes inline from their mode file; do not print a slash command as a handoff.
- Leave all generated content uncommitted. Run /job-hunter finalize after review.
What ships with it
4 files 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.
- 2mo ago First seen · 48 lines · 23 tokens per session scan A f3df4793f95a
linkedin is a skill published in the GitHub repository abdulrbasit/job-hunter (26 stars, last pushed 17d ago), licensed MIT. It adds 23 tokens to every session and 417 once invoked, about $0.0001 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 2026-08-30.
linkedin compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| linkedinabdulrbasit/job-hunter | Skill | 26 | 17d ago | MIT | A | 23 | Claude Code |
| git-workflowvstorm-co/pydantic-deepagents | Skill | 1.1k | 7d ago | MIT | A | 17 | Claude Code, Codex |
| servicenow-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 75 | Claude Code |
| code-review-workflowpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 88 | Claude Code |
| debugging-workflowpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 91 | Claude Code |
| refactoring-workflowpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 83 | Claude Code |
| tdd-workflowpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 97 | Claude Code |