job-hunter: Skill for Claude Code

.claude/skills/linkedin/SKILL.md

linkedin is a skill for Claude Code from abdulrbasit/job-hunter. It costs 23 tokens per session (417 once invoked), scanned A, original, MIT.

A LinkedIn writing and networking assistant that works in separate modes for ideas, post drafts, comments, and connection planning. LinkedIn is a professional social network used for sharing work and building career contacts.

In plain words
What is it for?
Generating post ideas from job-search evidence, drafting posts, preparing comments from supplied content, and building a connection queue from job targets.
Why use it?
It organizes LinkedIn-related preparation while keeping actions under the user's control; it does not post, like, follow, comment, or send connection requests automatically.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths.

This is abdulrbasit/job-hunter's own configuration. It tells Claude Code how to work on job-hunter itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything job-hunter configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/abdulrbasit/job-hunter/main/.claude/skills/linkedin/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/abdulrbasit/job-hunter

Made for: Claude Code.

Wrote 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.

agentmods badge for linkedin

README.md
[![agentmods](https://agentmods.dev/badge/skills/abdulrbasit/job-hunter/linkedin/github.svg)](https://agentmods.dev/skills/abdulrbasit/job-hunter/linkedin)
Your own site
<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.

agentmods 80×15 button for linkedin

Your own site · 80×15
<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>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 417 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 2mo ago against content hash f3df4793f95a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

.claude/skills/linkedin/SKILL.md · 48 lines

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.md inline.
  • draft, write: execute .claude/skills/linkedin/modes/draft.md inline with remaining arguments.
  • engage, comments: execute .claude/skills/linkedin/modes/engage.md inline with remaining arguments.
  • network, connect: execute .claude/skills/linkedin/modes/network.md inline.

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.
Files

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.

Changes

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.

  1. 2mo ago First seen · 48 lines · 23 tokens per session scan A f3df4793f95a

Subscribe to this mod's changes

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.

Related

linkedin compared with skills from other repositories

linkedin next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
linkedinabdulrbasit/job-hunterSkill2617d agoMITA23Claude Code
git-workflowvstorm-co/pydantic-deepagentsSkill1.1k7d agoMITA17Claude Code, Codex
servicenow-expertpersonamanagmentlayer/pclSkill4411d agoApache-2.0A75Claude Code
code-review-workflowpersonamanagmentlayer/pclSkill4411d agoApache-2.0A88Claude Code
debugging-workflowpersonamanagmentlayer/pclSkill4411d agoApache-2.0A91Claude Code
refactoring-workflowpersonamanagmentlayer/pclSkill4411d agoApache-2.0A83Claude Code
tdd-workflowpersonamanagmentlayer/pclSkill4411d agoApache-2.0A97Claude Code