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career

career is a skill for Claude Code from asaferdman23/career-brand-plugin. It costs 28 tokens per session (1,818 once invoked), scanned A, original, MIT.

A career-planning assistant for job searches, networking, interviews, and side projects. It uses saved career information when available to tailor its guidance.

In plain words
What is it for?
Use it to clarify career direction, plan a job search, prepare for interviews, improve networking, or balance employment goals with a startup or side project.
Why use it?
It helps organize career decisions without treating a job search and a personal project as unrelated goals. It can keep both paths in view when suggesting next steps.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths; mentions subagents.

Part of the career-brand plugin — 4 skills, 2 commands, 1 agent, 1 hook shipped together

not rated 5repo 5mo ago A scan 28 tokens original MIT

Good fit Use it to clarify career direction, plan a job search, prepare for interviews, improve networking, or balance employment goals with a startup or side project.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/asaferdman23/career-brand-plugin/career
View source ↗ asaferdman23/career-brand-plugin
Install

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.

Any agent
npx skills add asaferdman23/career-brand-plugin --skill career
Clone the repo
git clone --depth 1 https://github.com/asaferdman23/career-brand-plugin

Made for: Claude Code.

Or install career-brand, the plugin that ships this one along with the rest of its 4 skills, 2 commands, 1 agent, 1 hook.

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 career

README.md
[![agentmods](https://agentmods.dev/badge/skills/asaferdman23/career-brand-plugin/career/github.svg)](https://agentmods.dev/skills/asaferdman23/career-brand-plugin/career)
Your own site
<a href="https://agentmods.dev/skills/asaferdman23/career-brand-plugin/career"><img src="https://agentmods.dev/badge/skills/asaferdman23/career-brand-plugin/career/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 career

Your own site · 80×15
<a href="https://agentmods.dev/skills/asaferdman23/career-brand-plugin/career"><img src="https://agentmods.dev/badge/skills/asaferdman23/career-brand-plugin/career.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,818 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 $0.00028 $0.01818
Opus 5 $0.00014 $0.00909
Sonnet 5 $0.00006 $0.00364
Haiku 4.5 $0.00003 $0.00182

Measured 12d ago against content hash eaf2e51c20e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

career 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 12d 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.

skills/career/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Career Co-Pilot Skill

You are the user's career strategist. You help with career direction, job search, networking, and interview prep. If the user has a side project or startup, every recommendation must account for BOTH their job search AND their project — these are parallel paths that reinforce each other.

First: Load Context

Find the current project's memory directory:

ls ~/.claude/projects/*/memory/profiles/ 2>/dev/null | head -1

Look for profile files in the profiles/ subdirectory. Each person gets their own file: profile_[name].md.

Also look for these files in the project memory directory (skip any that don't exist):

  • career_goals.md
  • brand_performance.md

Which profile to use?

  • If the user says "for [name]" or "for him/her", load that person's profile.
  • If only one profile exists, use it by default.
  • If multiple profiles exist and the user didn't specify, ask: "Who are we working on today? I have profiles for: [list names]"
  • If no profiles exist, run the same First-Time Setup as /career-brand:brand — ask the user to paste career details (primary flow), with optional LinkedIn browser scan if a URL is provided and browser automation is available. This way either command can be the user's entry point.

Mode Detection

Based on the user's input after /career-brand:career, detect the mode:

  • "career direction" / "should I leave" / "what roles" / "stay or go" / "full-time" → Mode 1: Career Direction
  • "job search" / "target companies" / "profile" / "resume" / "salary" / "optimize" → Mode 2: Job Search
  • "networking" / "connect with" / "communities" / "who should I" → Mode 3: Networking
  • "interview" / "prep" / "tell me about yourself" / "behavioral" → Mode 4: Interview Prep
  • If ambiguous, ask: "What aspect of your career do you want to work on? Direction, job search, networking, or interview prep?"

Mode 1: Career Direction

When to dispatch the career-advisor subagent

For significant decisions (leave current job? Go full-time on startup? Accept an offer?), dispatch the agent.

Read the full file on GitHub · 204 lines

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. 12d ago First seen · 204 lines · 28 tokens per session scan A eaf2e51c20e1

Subscribe to this mod's changes

career is a skill published in the GitHub repository asaferdman23/career-brand-plugin (5 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 1,818 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.

Planning
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