Borrowing it
Nothing to install: this file belongs to suraj-davariya/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/suraj-davariya/ai-job-search/main/.claude/skills/job-application-assistant/SKILL.mdgit clone --depth 1 https://github.com/suraj-davariya/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/skills/suraj-davariya/ai-job-search/job-application-assistant)<a href="https://agentmods.dev/skills/suraj-davariya/ai-job-search/job-application-assistant"><img src="https://agentmods.dev/badge/skills/suraj-davariya/ai-job-search/job-application-assistant/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/skills/suraj-davariya/ai-job-search/job-application-assistant"><img src="https://agentmods.dev/badge/skills/suraj-davariya/ai-job-search/job-application-assistant.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 | $0.00045 | $0.01057 |
| Opus 5 | $0.00023 | $0.00528 |
| Sonnet 5 | $0.00009 | $0.00211 |
| Haiku 4.5 | $0.00005 | $0.00106 |
Grade A, and why
job-application-assistant 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
This file is the Plane 1 knowledge anchor for the job application workflow (ARCH-0010). As a Plane 1 skill, it lives under .claude/skills/job-application-assistant/ and provides the AI assistant with structured knowledge — it does not execute binaries. When activated, this skill loads candidate identity and preference data from the companion profile files and applies the framework rules that govern the drafter-reviewer pipeline (ARCH-0030). The skill supports all four pipeline steps: fit evaluation, CV generation, cover letter generation, and interview preparation. All steps operate under the no-fabrication rule (ARCH-0007), the read-before-write invariant, and the writing-style rules in 03-writing-style.md.
Trigger Phrases
- "Apply to <job/URL/company>"
- "Evaluate this job posting"
- "Tailor my CV for <role/company>"
- "Write a cover letter for "
- "Prepare me for an interview with "
- "Am I a good fit for ?"
- Any phrase about job applications, fit evaluation, or interview prep
Companion Files
| File | When to Read |
|---|---|
01-candidate-profile.md |
Whenever candidate identity, education, experience, or skills data is needed |
02-behavioral-profile.md |
For behavioral/culture fit evaluation or when writing about personality fit |
03-writing-style.md |
Before generating any CV or cover letter content — rules always apply |
04-job-evaluation.md |
When evaluating fit for a job posting (Step 1 of pipeline) |
05-cv-templates.md |
When generating or tailoring a CV (Step 2 of pipeline) |
06-cover-letter-templates.md |
When generating a cover letter (Step 3 of pipeline) |
07-interview-prep.md |
When preparing for an interview or running practice sessions |
08-legitimacy.md |
Before drafting (Step 1) — assess posting legitimacy as a separate gate (REQ-8001) |
Sub-Commands (REQ-6003)
| Entry Phrase | Pipeline Step | Files to Read |
|---|---|---|
| "Evaluate this job posting" | Step 1 — Fit Evaluation | 04-job-evaluation.md, 08-legitimacy.md, 01-candidate-profile.md, 02-behavioral-profile.md |
| "Write a CV for " | Step 2 — CV Generation | 05-cv-templates.md, 01-candidate-profile.md, 03-writing-style.md |
| "Write a cover letter for " | Step 3 — Cover Letter | 06-cover-letter-templates.md, 01-candidate-profile.md, 02-behavioral-profile.md, 03-writing-style.md |
| "Prepare for interview with " | Step 4 — Interview Prep | 07-interview-prep.md, 01-candidate-profile.md |
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 60 lines · 45 tokens per session scan A 0ffef4a408b3
job-application-assistant is a skill published in the GitHub repository suraj-davariya/ai-job-search (22 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 1,057 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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