career-manager: Instructions file for Claude Code

CLAUDE.md

career-manager CLAUDE.md is an instructions file for Claude Code from muggl3mind/career-manager. It costs 465 tokens per session, scanned A, original, MIT.

Repository instructions for an AI-assisted career-management pipeline built from coding-agent skills. They define setup rules, script locations, configuration ownership, and how job-search data should be handled.

In plain words
What is it for?
Use them when setting up the environment, running pipeline phases, managing search configuration, or updating company and application records through the project's tools.
Why use it?
They prevent running scripts from the wrong location or editing source data in unsafe ways, which could break the job-search workflow.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions Claude Code.

This is muggl3mind/career-manager's own configuration. It tells Claude Code how to work on career-manager 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 career-manager configures →

Reuse

Borrowing it

Nothing to install: this file belongs to muggl3mind/career-manager. 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/muggl3mind/career-manager/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/muggl3mind/career-manager

Made for: Claude Code.

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README.md
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Per session 465 This file is loaded in full into every session.
When invoked 465 The same file — it is already loaded in full.
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 $0.00465 $0.00465
Opus 5 $0.00233 $0.00233
Sonnet 5 $0.00093 $0.00093
Haiku 4.5 $0.00047 $0.00047

Measured 7d ago against content hash b1f2c6f7d4d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

career-manager CLAUDE.md 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 7d 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.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Career Manager

AI-assisted career management pipeline built as Claude Code skills.

Environment

  • Use uv run to execute all Python scripts
  • If .venv/ doesn't exist: uv venv && uv pip install -r requirements.txt

Script Paths

All pipeline scripts live under job-search/scripts/. Run from the project root with full paths:

uv run job-search/scripts/ops/run_pipeline.py phase1   # correct
uv run scripts/ops/run_pipeline.py phase1              # WRONG — will fail

SKILL.md files use paths relative to their skill directory. Always prefix with the skill folder.

How This Works

  • Each skill has a SKILL.md — read it before executing that skill
  • search-config.json and config.yaml are generated by the onboarding skill — never edit pipeline scripts to change search queries or scoring
  • Data ownership: job-search/data/target-companies.csv and job-tracker/data/applications.csv are sources of truth
  • Never edit CSVs directly — use the tracker scripts

First-Time Setup

If config.yaml or search-config.json don't exist, run the onboarding skill first. See README for full setup steps.

Status Briefing

Before running workflows, the router calls scripts/generate_briefing.py for a status snapshot. This is automatic. Do not ask the user to run it.

Testing

uv run python3 scripts/smoke_test.py       # verify setup
uv run python3 -m pytest evals/tests/ -v   # run test suite

Repo Sync

The public repo at career-manager-public/ is synced from this private repo via scripts/export_public.py. Both repos must stay in sync for skill files.

Before exporting:

uv run python3 scripts/check_sync.py

If divergence is found, resolve before exporting. The export script has a timestamp guard that skips files where the public version is newer, but always verify with check_sync.py first.

After editing skill files in either repo: run check_sync.py --fix to copy the newer version to the other repo, then commit in both.

Read the full file on GitHub · 55 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. 7d ago First seen · 55 lines · 465 tokens per session scan A b1f2c6f7d4d5

Subscribe to this mod's changes

career-manager CLAUDE.md is an instructions file published in the GitHub repository muggl3mind/career-manager (24 stars, last pushed 4mo ago), licensed MIT. It adds 465 tokens to every session, about $0.0023 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 2026-08-30.

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