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.
curl -O https://raw.githubusercontent.com/pedrolucazx/job-search/main/.claude/commands/interview-prep.mdgit clone --depth 1 https://github.com/pedrolucazx/job-searchWrote 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/commands/pedrolucazx/job-search/interview-prep)<a href="https://agentmods.dev/commands/pedrolucazx/job-search/interview-prep"><img src="https://agentmods.dev/badge/commands/pedrolucazx/job-search/interview-prep/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.
<a href="https://agentmods.dev/commands/pedrolucazx/job-search/interview-prep"><img src="https://agentmods.dev/badge/commands/pedrolucazx/job-search/interview-prep.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00080 |
| Opus 5.5 | $0.00000 | $0.00032 |
| Sonnet 5.5 | $0.00000 | $0.00016 |
| Haiku 4.5 | $0.00000 | $0.00008 |
Grade A, and why
interview-prep 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 1mo 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.
What it actually says
Read workflows/interview-prep.md, profile/candidate.yaml,
rules/interview-roteiro.md + rules/job-evaluation.md (to re-fetch the
job description) and rules/cv-rules.md (for the overlap logic reused when
picking the project). Execute the steps described there for the company
received in $ARGUMENTS.
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.
- 1mo ago First seen · 6 lines · 0 tokens per session scan A 8d258f3bcb70
interview-prep is a command published in the GitHub repository pedrolucazx/job-search (5 stars, last pushed 18d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 80 tokens. 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.
Other commands, from other repositories
setup
Set up your job search profile. Paste your resume or answer a few questions. Takes 5 minutes. Needed before evaluating jobs.
quick-eval
Quick job evaluation. Paste a JD and get a score plus one-paragraph summary. Faster than a full evaluate. Use when someone says 'quick eval', 'quick score', or 'just give me a number'.
start
Onboard with Rebound — capture your base resume and build your private profile (skills, differentiators, and situation).
track
Record or update a job application in your local tracker so it shows on the Rebound dashboard.
match
Score how well roles fit you (50–90%+) and rank them — paste roles/URLs now; web-crawling discovery is on the roadmap.
rise
A supportive, practical check-in — momentum, next best action, and a plan that respects your runway. Knocked down, not out.