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/daily.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/daily)<a href="https://agentmods.dev/commands/pedrolucazx/job-search/daily"><img src="https://agentmods.dev/badge/commands/pedrolucazx/job-search/daily/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/daily"><img src="https://agentmods.dev/badge/commands/pedrolucazx/job-search/daily.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 | $0.00051 |
| Opus 5 | $0.00000 | $0.00026 |
| Sonnet 5 | $0.00000 | $0.00010 |
| Haiku 4.5 | $0.00000 | $0.00005 |
Grade A, and why
daily 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 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.
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/daily.md and profile/candidate.yaml (run
python3 scripts/validate_profile.py first to validate). Execute the
steps described there, using rules/job-evaluation.md for the fit score.
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.
- 10d ago First seen · 4 lines · 0 tokens per session scan A 95d6776bdc4f
daily is a command published in the GitHub repository pedrolucazx/job-search (5 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 51 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
track
Record or update a job application in your local tracker so it shows on the Rebound dashboard.
rise
A supportive, practical check-in — momentum, next best action, and a plan that respects your runway. Knocked down, not out.
job-hunt
A command for searching for jobs each day and tracking the application process. The input also refers to candidate details and companies already contacted.
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'.
writing-coach
Human-voice writing coach — rewrite resumes and cover letters with brevity, burstiness, plain language, and authentic impact. Blocks AI-sounding prose.