job-search: Skill for Claude Code

.agents/skills/career-command-center/SKILL.md

career-command-center is a skill for Claude Code, Codex from pedrolucazx/job-search. It costs 77 tokens per session (317 once invoked), scanned A, original, MIT.

A central trigger for a job-search system that loads candidate information, shared rules, and application workflows from a repository.

In plain words
What is it for?
Use it for job-search and job-application commands that need the active candidate profile, general rules, and the relevant workflow.
Why use it?
It keeps application commands connected to one source of candidate data and common process rules instead of duplicating them.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md; mentions Codex.

This is pedrolucazx/job-search's own configuration. It tells Claude Code and Codex how to work on job-search 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 job-search configures →

Reuse

Borrowing it

Nothing to install: this file belongs to pedrolucazx/job-search. 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/pedrolucazx/job-search/main/.agents/skills/career-command-center/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/pedrolucazx/job-search

Made for: Claude Code, Codex.

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-command-center

README.md
[![agentmods](https://agentmods.dev/badge/skills/pedrolucazx/job-search/career-command-center/github.svg)](https://agentmods.dev/skills/pedrolucazx/job-search/career-command-center)
Your own site
<a href="https://agentmods.dev/skills/pedrolucazx/job-search/career-command-center"><img src="https://agentmods.dev/badge/skills/pedrolucazx/job-search/career-command-center/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-command-center

Your own site · 80×15
<a href="https://agentmods.dev/skills/pedrolucazx/job-search/career-command-center"><img src="https://agentmods.dev/badge/skills/pedrolucazx/job-search/career-command-center.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 317 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 $0.00077 $0.00317
Opus 5.5 $0.00031 $0.00127
Sonnet 5.5 $0.00015 $0.00063
Haiku 4.5 $0.00008 $0.00032

Measured 17d ago against content hash 555db506a6d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

career-command-center 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 17d 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.

.agents/skills/career-command-center/SKILL.md · 33 lines

What it actually says

Career Command Center

Use this skill for command-style job-search requests in this repository. Short Codex aliases also exist: $daily, $apply-batch, $compile-today, $confirm, and $interview-prep.

Before executing any workflow:

  1. Read AGENTS.md.
  2. Run python3 scripts/validate_profile.py; if it fails, stop and ask for the profile fix.
  3. Read the matching workflow:
    • daily or /daily: workflows/daily.md
    • apply-batch or /apply-batch: workflows/apply-batch.md
    • compile-today or /compile-today: workflows/compile.md
    • confirm or /confirm: workflows/confirm.md
    • interview-prep or /interview-prep: workflows/interview-prep.md
  4. Execute that workflow using profile/candidate.yaml and the referenced rules.

Never submit a job application, fill out an application form, or act past the manual handoff described in the workflow.

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. 17d ago Changed · +37 tokens per session 555db506a6d7
  2. 1mo ago First seen · 33 lines · 40 tokens per session scan A 76def9bc9f0f

Subscribe to this mod's changes

career-command-center is a skill published in the GitHub repository pedrolucazx/job-search (5 stars, last pushed 18d ago), licensed MIT. It adds 77 tokens to every session and 317 once invoked, about $0.0003 per session on Opus 5.5. 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.

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