career-engine-setup

career-engine-setup is a skill for Claude Code from spinningrachel/career-engine. It costs 106 tokens per session (19,455 once invoked), scanned B, original, MIT.

An onboarding wizard for a career-management plugin. It collects career materials and creates reference files covering writing rules, professional background, and career positioning.

In plain words
What is it for?
It is for setting up a career profile, including background details, writing preferences, LinkedIn information, pipeline settings, past letters, and a document template.
Why use it?
It gives the plugin the personal information and preferences it needs before it can prepare career documents.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the career-engine plugin — 29 skills, 16 agents, 1 hook shipped together

Good fit It is for setting up a career profile, including background details, writing preferences, LinkedIn information, pipeline settings, past letters, and a document template.

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Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add spinningrachel/career-engine
Claude Code
/plugin install career-engine

Made for: Claude Code.

Or install career-engine, the plugin that ships this one along with the rest of its 29 skills, 16 agents, 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-engine-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/spinningrachel/career-engine/career-engine-setup.svg)](https://agentmods.dev/skills/spinningrachel/career-engine/career-engine-setup)
Your own site
<a href="https://agentmods.dev/skills/spinningrachel/career-engine/career-engine-setup"><img src="https://agentmods.dev/badge/skills/spinningrachel/career-engine/career-engine-setup.svg" alt="Measured on agentmods" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 19,455 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00106 $0.19455
Opus 5 $0.00053 $0.09728
Sonnet 5 $0.00021 $0.03891
Haiku 4.5 $0.00011 $0.01946

Measured 8d ago against content hash 903f84f41cc7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade B, and why

career-engine-setup scanned grade B 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 8d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

- Do NOT write this preference to `~/.claude/settings.json` — that location is reachable only from the user's own machine and silently falls back to the default everywhere else. The pipeline still reads it as a legacy fa
skills/career-engine-setup/SKILL.md · 1,013 lines

How it starts

The opening of the file, as written. The whole thing — 1,013 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Career Engine Onboarding

Registry: this pipeline is listed in the Pipeline Registry in skills/career-engine/SKILL.md. Actions owned by another pipeline's registry row are out of scope here — route to that pipeline instead of improvising.

This skill sets up the plugin for a new user. It builds the three reference files that all pipeline agents read before writing anything:

  • 01-writing-rules.md — fabrication guards, attribution rules, framing constraints, contact details
  • 02-professional-background.md — role facts, approved content, portfolio
  • 03-framework.md — positioning, voice, methodology, domain narratives

Output target — the career-data skill, not in-plugin references (R-37). Setup builds these files into the user's external career-data skill, not into the plugin's references/. Author the data files (01/02/03, linkedin-profile.md, pipeline-preferences.json, delivered-letters/, and the user's .dotx) into a working career-data/ skill directory as you go. Installing that directory as a real skill is environment-specific and is the single step that most often goes wrong — follow references/career-data-skill-handoff.md (a.k.a. "Appendix A"): in Cowork, you cannot save a skill directly, so you emit a /skill-creator handoff prompt the user pastes into Chat (skills are shared between Chat and Cowork, so it lands in both); in Claude Code, you write ~/.claude/skills/career-data/ directly. The dedicated Build & install step at the end of this skill runs that handoff. Write the first backup export of career-data to the output folder. The plugin's in-plugin references/ stay as blank {{...}} templates — never personalized.

Placeholder resolution (single-build). Identity and config values are NOT substituted into the plugin's agent/skill/reference files — that would personalize the shared build. They live in career-data and agents resolve them at runtime: identity from career-data 01-writing-rules.md §8, output folder and CV template from the career-data config (see CLAUDE.md → Placeholder resolution). Every step below writes these values into career-data, never into plugin files.

How onboarding works: You send your existing career materials. The agent reads them and synthesizes 03-framework.md. You review it and respond — with feedback or approval. That response triggers a targeted interview that fills gaps and captures what the materials didn't fully show. Integration (Notion, output path) comes after.

Run order matters. Phase 0 (environment check) → Phase 1 (identity) → Phase 2 (content submission) → Phase 3 (synthesis) → Phase 4 (review and interview) → Phase 5 (integration) → Phase 6 (permissions) → Phase 7 (job-preferences) → Build & install career-data (the closing handoff step). Phases 5–7 can be deferred — the pipeline can run with Phases 1–4 complete. Whenever a setup session ends (all phases done, or the user stops), run the Build & install step so the work authored this session actually becomes an installed skill.

Onboarding can be paused and resumed. The Phase 4 interview in particular can take time. If the user needs to stop, they can resume later by running /career-engine:setup --phase 4. The state of 03-framework.md is preserved between sessions — sections already confirmed have no [DRAFT] or [REVIEW] markers; sections still needing work do. The pre-flight check uses this to report progress accurately.


Read the full file on GitHub · 1,013 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. 8d ago First seen · 1,013 lines · 106 tokens per session scan B 903f84f41cc7

Subscribe to this mod's changes

career-engine-setup is a skill published in the GitHub repository spinningrachel/career-engine (4 stars, last pushed 26d ago), licensed MIT. It adds 106 tokens to every session and 19,455 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.