Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ishandutta2007/Awesome-AI-Job-Huntingnpx agentmods add commands/ishandutta2007/awesome-ai-job-hunting/applyWrote 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/ishandutta2007/awesome-ai-job-hunting/apply)<a href="https://agentmods.dev/commands/ishandutta2007/awesome-ai-job-hunting/apply"><img src="https://agentmods.dev/badge/commands/ishandutta2007/awesome-ai-job-hunting/apply/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/ishandutta2007/awesome-ai-job-hunting/apply"><img src="https://agentmods.dev/badge/commands/ishandutta2007/awesome-ai-job-hunting/apply.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 | $0.07678 |
| Opus 5.5 | $0.00000 | $0.03071 |
| Sonnet 5.5 | $0.00000 | $0.01536 |
| Haiku 4.5 | $0.00000 | $0.00768 |
Grade A, and why
apply scanned grade A 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **If the fetch returns HTTP 403, or the content is a login wall or an unrelated listing page, do not give up and do not draft from the title.** Follow the escalation order in `.claude/skills/job-application-assistant/0 This is a copy
92% identical to apply — 84 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/apply - Drafter-Reviewer Job Application Workflow
You are orchestrating a two-agent job application workflow. The job posting is provided below as $ARGUMENTS (either a URL or pasted text).
Follow these steps exactly in order. Do not skip steps.
Standing rule — write new facts back to the profile. If the user confirms, corrects or supplies a fact that is not already in 01-candidate-profile.md — a metric, a project detail, a skill, a scope correction — update that file in the same turn. Do not leave it living only in the conversation or in a draft.
This is not bookkeeping. A fact that exists only in chat will be treated as unsupported by a later session and stripped from drafts as a fabrication. Anything absent from the sources does not exist as far as future drafting is concerned, and the loss is silent — a real achievement quietly disappears from every subsequent CV.
This rule is the input side of the Step 3 Factual Grounding Audit, not a competitor to it. The audit is deliberately strict: an ungrounded claim is removed, and it cannot tell a fabrication from a real fact the user stated out loud last week. That strictness is correct, and it is exactly why confirmed facts have to reach the sources in the same turn they surface. Write to 01-candidate-profile.md specifically — it is one of the audit's three sources, so a fact recorded there is grounded on the next run. Adding a fact to 01 that CLAUDE.md and the master CV simply do not mention is an absence, not a contradiction, and does not trip the audit's profile-consistency warning; if the new fact corrects something either of those states, fix it there too rather than leaving the two sources disagreeing.
Token-efficiency rules for this workflow:
- Never re-Read a file whose contents are already in your context from an earlier step. If you read it in Step 1, it is still available in Step 2.
- When dispatching the reviewer agent, pass draft content inline in the agent prompt rather than asking the agent to Read files you already have in memory.
- Run the full verification checklist exactly once, at the end (Step 6). The reviewer focuses on content critique, not verification.
- Step 5 (compile and inspect PDFs) is mandatory and non-skippable — page-break decisions are unpredictable, and source files that look fine often produce broken PDFs (orphaned entry titles, cover letters spilling to page 2, bullet fonts mismatching).
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 · 361 lines · 0 tokens per session scan A 7d3a4f307bce
apply is a command published in the GitHub repository ishandutta2007/Awesome-AI-Job-Hunting (3 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 7,678 tokens. A static security scan graded it A with 1 finding (makes network calls). It is 92% identical to apply, differing in 84 lines, and is treated as a copy.
Other commands, from other repositories
review-issue
Review and respond to a GitHub issue.
new-sdk-app
Create and setup a new Claude Agent SDK application.
analyze-codebase
Generate comprehensive analysis and documentation of entire codebase.
tdd
This outlines the development practices and principles we require you to follow. Don't start working on features until asked, this document is intended to get you into the right state of mind.
test
Focused on testing internal logic, not API endpoints.
review
Command "review" from Najeebullah3124/awesome-claude-universe, covering pr review, task 1: product manager review, task 2: developer review, task 3: quality engineer review and task 4: security engineer review.