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.
npx skills add muggl3mind/career-manager --skill onboardinggit clone --depth 1 https://github.com/muggl3mind/career-managerWrote 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.
[](https://agentmods.dev/skills/muggl3mind/career-manager/onboarding)<a href="https://agentmods.dev/skills/muggl3mind/career-manager/onboarding"><img src="https://agentmods.dev/badge/skills/muggl3mind/career-manager/onboarding.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.02722 |
| Opus 5 | $0.00023 | $0.01361 |
| Sonnet 5 | $0.00009 | $0.00544 |
| Haiku 4.5 | $0.00005 | $0.00272 |
Grade A, and why
onboarding 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboarding
Personalize the career-manager pipeline for a new user through a focused setup.
When to Use
- First time setting up the pipeline after cloning
- Career goals, target roles, or compensation targets have changed
- Want to regenerate search queries or scoring criteria
Flow
Step 0: Ensure Local Python Environment
Before reading the resume or generating files, create a repo-local virtual environment if one doesn't already exist:
uv venv
uv pip install -r requirements.txt
Run all subsequent Python commands through uv run (e.g., uv run python3 scripts/smoke_test.py) so dependencies resolve against the repo-local .venv and never install into a global Python, Conda, or system environment.
Step 1: Get the Resume
Ask: "Where's your resume? Give me the file path (e.g., ~/Desktop/resume.docx)"
When the user provides a path:
- Verify the file exists and is
.docxor.pdf - Copy it to
cv-tailor/data/CV/Master CV/(create directory if needed) - Read the resume and extract: work history, skills, industries, seniority, education, accomplishments
If the file doesn't exist or isn't a supported format, ask again with guidance.
Do NOT ask the user to copy files manually. You handle the copy.
Step 2: One Question
Ask this single combined question:
"Based on your resume, I can see your background. I need four things your resume doesn't tell me:
- Target roles - What roles are you going after? Be specific about seniority (Senior PM, Director of Engineering, Solutions Architect) and domain.
- Salary floor - What's the minimum base salary you'd accept?
- Location - Remote, hybrid, or onsite? Open to relocation?
- Job markets - Which countries should I search for jobs in? (Default: United States)"
Step 3: Confirm Profile
Present the full profile combining resume inference + user answers:
"Here's your profile:
Background: [inferred from resume - key roles, industries, years of experience, strongest skills] Target roles: [from answer] Salary floor: [from answer] Location: [from answer] Career paths I'd search:
What ships with it
1 file 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.
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.
- 8d ago First seen · 260 lines · 47 tokens per session scan A 8dc5446c4306
onboarding is a skill published in the GitHub repository muggl3mind/career-manager (24 stars, last pushed 4mo ago), licensed MIT. It adds 47 tokens to every session and 2,722 once invoked, about $0.0002 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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