career-engine-intake

career-engine-intake is a skill for Claude Code from spinningrachel/career-engine. It costs 150 tokens per session (21,905 once invoked), scanned B, original, MIT.

An intake workflow for job roles that still need research. It accepts a job URL or description directly, or fetches roles marked for research in Notion, then runs job-description analysis and career coaching.

In plain words
What is it for?
It is for acquiring job descriptions, assessing roles, getting career guidance, and updating the application tracker when using the batch mode.
Why use it?
It separates early role research from the later CV-writing process and avoids processing roles before they are understood.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. 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 acquiring job descriptions, assessing roles, getting career guidance, and updating the application tracker when using the batch mode.

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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-intake

README.md
[![agentmods](https://agentmods.dev/badge/skills/spinningrachel/career-engine/career-engine-intake/github.svg)](https://agentmods.dev/skills/spinningrachel/career-engine/career-engine-intake)
Your own site
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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-engine-intake

Your own site · 80×15
<a href="https://agentmods.dev/skills/spinningrachel/career-engine/career-engine-intake"><img src="https://agentmods.dev/badge/skills/spinningrachel/career-engine/career-engine-intake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 150 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 21,905 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 $0.00150 $0.21905
Opus 5 $0.00075 $0.10953
Sonnet 5 $0.00030 $0.04381
Haiku 4.5 $0.00015 $0.02191

Measured 10d ago against content hash dbfb99504637, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade B, and why

career-engine-intake 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 10d 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.

2. `~/.claude/settings.json` → `gap_handling` (legacy location, reachable only in Claude Code on the user's own machine).
skills/career-engine-intake/SKILL.md · 415 lines

How it starts

The opening of the file, as written. The whole thing — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Intake Pipeline

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 has two modes with different procedures — Steps 0 through 0.9 below are Notion-fetch mode's procedure only. Inline mode is a separate, much shorter flow that ends after the bullet below; it never reaches Step 0, never creates $PIPE (Step 0.4 explicitly skips it), and never touches Steps 0.6 through 0.9 (priority queue, the batch coach spawn, the Coach Output Check, or Notion writeback) — there is no Notion row to write back to and no batch to queue.

  • Inline mode — the user provides a URL or JD text directly in chat. No Notion fetch, no $PIPE, no queue.md. Run JD acquisition (the Step 0.5 fetch ladder, applied to the single provided URL/JD) on that one role, then spawn career-coach with Option 1 — Inline (not Option 2 — Option 2 is exclusively for the batch/Notion path, per its own "Always invoked... for Needs Research roles" scope statement), passing the fetched content directly in the spawn prompt along with CAREER_DATA=${CAREER_DATA} (resolved at Step −0.5 or by the orchestrator preflight, same as every other coach spawn in this file) — the coach needs it to read 01/02/03 for this role's analysis exactly as it does in the batch path; omitting it here is not a smaller ask, it is a missing required input. Deliver the coach's response conversationally — no Notion writeback, no further steps. Use when the user says something like "coach me on this role" and pastes a URL or JD, outside of the batch Notion-fetch flow.
  • Notion-fetch mode — queries the Notion database for Needs Research roles, runs JD acquisition and the career coach (Option 2) for each, writes all results to Notion, and updates Status to Researched. This is the standard "run intake" path, and the one Steps 0 through 0.9 below describe.

The career coach runs for every role that is not already coach-complete. If all roles in the queue are coach-complete, the coach spawn is skipped and the pipeline proceeds directly to Step 0.9 using existing values. The goal of this pipeline is to give the career coach complete information — full JD data for every role — before it makes any prioritization or writing decisions.

career-data data root (R-37). The personal-data files — 01-writing-rules.md, 02-professional-background.md, 03-framework.md, linkedin-profile.md, pipeline-preferences.json, delivered-letters/, and the user's .dotx — load from ${CAREER_DATA}/references/, the path the orchestrator resolves in its career-data discovery preflight. Every other file (self-checks, REFERENCES.md, skill docs, default .dotx templates) stays on ${CLAUDE_PLUGIN_ROOT}. If ${CAREER_DATA} is not set (direct or standalone invocation outside the orchestrator), locate the career-data skill yourself, confirm career-data-marker.json, and apply the orchestrator's healthy / damaged / absent outcomes before reading. A configured user's missing career-data is a hard stop — never silently fall back to blank templates.

Read the full file on GitHub · 415 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. 10d ago First seen · 415 lines · 150 tokens per session scan B dbfb99504637

Subscribe to this mod's changes

career-engine-intake is a skill published in the GitHub repository spinningrachel/career-engine (4 stars, last pushed 28d ago), licensed MIT. It adds 150 tokens to every session and 21,905 once invoked, about $0.0007 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.

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