Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/palashjain95/jobhunter/write-applicationnpx skills add palashjain95/jobhunter --skill write-applicationgit clone --depth 1 https://github.com/palashjain95/jobhunterWrote 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/palashjain95/jobhunter/write-application)<a href="https://agentmods.dev/skills/palashjain95/jobhunter/write-application"><img src="https://agentmods.dev/badge/skills/palashjain95/jobhunter/write-application.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.00885 |
| Opus 5 | $0.00032 | $0.00443 |
| Sonnet 5 | $0.00013 | $0.00177 |
| Haiku 4.5 | $0.00006 | $0.00089 |
Grade A, and why
write-application 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 4d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/write-application
Usage
/write-application <paste JD or company name>
/write-application <essay prompt with word limit>
Inputs
- Job description (provided by user)
- knowledge/profile.md — candidate context
- knowledge/frameworks/writing-framework.md — apply to every paragraph
- knowledge/voice/samples.md — match this tone
- If available: output/[company]/fit-analysis.md — what to emphasize
- For essays: the question(s) and word limits
Produce
1. Cover Letter (~250-300 words, 3 paragraphs max)
- Para 1: Hook — specific to THIS company. Reference something real. No generic openers.
- Para 2: Evidence — specific achievements that map to the role's biggest needs. Use numbers.
- Para 3: Forward — what you'll bring, confident close.
2. LinkedIn DM
- Connection note (max 300 characters)
- Follow-up message (concise, ~150 words)
- Hook with something specific about their work. Clear ask, easy to respond to.
3. Referral Ask Message (if mutual connection exists)
Warm, specific, not transactional. Give them everything they need to refer in 2 sentences.
4. Email Subject Lines
3 options, ranked by open-rate likelihood.
5. Application Essays (if essay questions provided)
For each essay question:
- Draft — within word limit, ready to submit
- Word count — confirm it's within limits (aim for 90-100% of limit)
- Key choices — why you emphasized what you did
- Alternative angle — a different approach if user wants options
Output Format
## Cover Letter
[Full cover letter text — ready to copy/paste]
---
## LinkedIn
**Connection note (≤300 chars):**
[text]
**Follow-up message:**
[text]
---
## Referral Ask
[text — or "No mutual connection identified"]
---
## Email Subject Lines
1. [option — why it works]
2. [option]
3. [option]
---
## Essay: "[Question]" (word limit: X)
**Word count:** X/Y
[Full essay text]
**Why this angle:** [brief explanation]
**Alternative angle:** [one-sentence alternative if they want a different approach]
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.
- 4d ago First seen · 115 lines · 65 tokens per session scan A dee507cbb672
write-application is a skill published in the GitHub repository palashjain95/jobhunter (2 stars, last pushed 5mo ago), licensed MIT. It adds 65 tokens to every session and 885 once invoked, about $0.0003 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 2026-08-31.
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