AI Job Search is a Claude Code-based framework that runs on a user's machine to organize an AI-assisted job application process. It evaluates job postings, adapts CVs, writes cover letters, and helps prepare for interviews. The catalogue entries define commands, skills, instructions, an agent, and a setting for this workflow.
Borrowing it
Nothing to install: this file belongs to MadsLorentzen/ai-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/MadsLorentzen/ai-job-search/master/.claude/commands/reset.mdgit clone --depth 1 https://github.com/MadsLorentzen/ai-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/madslorentzen/ai-job-search/reset)<a href="https://agentmods.dev/commands/madslorentzen/ai-job-search/reset"><img src="https://agentmods.dev/badge/commands/madslorentzen/ai-job-search/reset/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/madslorentzen/ai-job-search/reset"><img src="https://agentmods.dev/badge/commands/madslorentzen/ai-job-search/reset.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 | $0.03239 |
| Opus 5.5 | $0.00000 | $0.01296 |
| Sonnet 5.5 | $0.00000 | $0.00648 |
| Haiku 4.5 | $0.00000 | $0.00324 |
Grade C, and why
reset scanned grade C with 1 finding 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 today.
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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf documents/applications/*/ Copies of this mod
1 near-identical copy found in the catalogue:
- reset — 100% identical, 45 lines differ
How it starts
The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/reset - Reset Candidate Profile Data
You are resetting parts of the job search framework back to a blank state so the user can start fresh with /setup.
This command is destructive. Nothing is deleted until the user explicitly confirms. Follow these steps exactly in order.
Step 0: Parse Scope from Arguments
Check $ARGUMENTS for a scope keyword:
profile— clears candidate profile data from skill files onlydocuments— deletes user-provided files from thedocuments/folder onlyall— both of the above
If $ARGUMENTS is empty or does not contain a recognized scope keyword, ask:
What would you like to reset?
profile— Clears candidate data from the skill files (profile, behavioral, STAR examples, profile statements, personalized evaluation criteria, search queries). The framework structure, scoring framework, and writing rules are preserved. Use this to re-run/setupfrom scratch.
documents— Deletes all files you've placed in thedocuments/folder (CV PDFs, LinkedIn export, diplomas, references, project summaries, pasted job postings, past applications). The folder structure andREADME.mdare preserved.
all— Both of the above.Reply with
profile,documents, orall.
Wait for the user's response before continuing.
Step 1: Show Exactly What Will Be Cleared
Before doing anything, show the user precisely what will be wiped.
If scope includes profile:
Read the current state of these files and report whether each has content or is already empty:
.claude/skills/job-application-assistant/01-candidate-profile.md.claude/skills/job-application-assistant/02-behavioral-profile.md.claude/skills/job-application-assistant/04-job-evaluation.md(personalized match areas, career goals, and life-situation constraints only — the scoring framework is preserved).claude/skills/job-application-assistant/05-cv-templates.md(profile statements section and the contact block inside the LaTeX template only — framework structure is preserved).claude/skills/job-application-assistant/06-cover-letter-templates.md(contact line and signature inside the LaTeX template only — framework structure is preserved).claude/skills/job-application-assistant/07-interview-prep.md(STAR examples and STAR candidates sections only — framework structure is preserved).claude/skills/job-scraper/search-queries.md(role titles, domain keywords, and location terms only — query structure is preserved)
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.
- today Changed · +2 lines 1bf8e7d1d4ed
- 7d ago Changed · +2 lines 9e32a07d0396
- 29d ago Changed · +4 lines d9d0b19e6197
- 1mo ago Changed · +5 lines 5087e3bde856
- 1mo ago First seen · 276 lines · 0 tokens per session scan C 8f10f9e650ff
reset is a command published in the GitHub repository MadsLorentzen/ai-job-search (47,502 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,239 tokens. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
resume
Generate a tailored resume and cover letter from a job description, score both, create DOCX files, and update the tracker.
resume-team
Run the role-separated, fail-closed Resume Team workflow against a job description.
writing-coach
Human-voice writing coach — rewrite resumes and cover letters with brevity, burstiness, plain language, and authentic impact. Blocks AI-sounding prose.
cover-letter
Create a one-page cover letter for a job description and generate the final DOCX.
find-jobs
Search live job boards for roles that match the master resume, then rank them by fit.
job-fit
Run the deterministic, digest-bound candidate-fit gate before any resume tailoring.