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 skills add surfmind-space/awesome-surfmind --skill job-application-assistantgit clone --depth 1 https://github.com/surfmind-space/awesome-surfmindWrote 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/surfmind-space/awesome-surfmind/job-application-assistant)<a href="https://agentmods.dev/skills/surfmind-space/awesome-surfmind/job-application-assistant"><img src="https://agentmods.dev/badge/skills/surfmind-space/awesome-surfmind/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/surfmind-space/awesome-surfmind/job-application-assistant"><img src="https://agentmods.dev/badge/skills/surfmind-space/awesome-surfmind/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 | $0.00059 | $0.00867 |
| Opus 5 | $0.00030 | $0.00434 |
| Sonnet 5 | $0.00012 | $0.00173 |
| Haiku 4.5 | $0.00006 | $0.00087 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Job Application Assistant
Help the user complete the visible form or pasted application questions from the selected text, the visible page, or what they describe. Work only from the job description and the user's own background; never invent personal facts — employment history, metrics, authorization status, salary expectations, demographics, or availability — and never guess at structured or sensitive answers. Draft so the user can review and copy each answer; never click submit, pay, consent, create an account, or upload a file until the user explicitly asks after reviewing the final values. Adapted from santifer/career-ops apply mode.
- Identify the company and role from the visible page. If the form looks like a different company or role than the user's context, stop and confirm before drafting.
- Check whether the posting still looks active. If it says expired, closed, no longer accepting applications, or only shows a generic careers shell, say so before drafting.
- List every visible field with its type, required status, character or word limit, visible options, and whether the answer needs user confirmation. If the form continues below the fold, ask the user to scroll or paste the rest.
- Draft copy-paste-ready responses for free-text questions, answering the doubt behind each one directly — motivation, stack fit, logistics, salary, work authorization, availability, seniority, or communication style — using real details from the posting and the user's background.
- Never guess on dropdowns, radio buttons, checkboxes, or legal, demographic, work-authorization, visa, sponsorship, relocation, salary, background-check, disability, veteran, or self-identification questions. If the answer isn't explicitly provided, write the exact confirmation question to ask the user.
- Practice disclosure discipline: answer logistics and screening questions truthfully when the form asks, but don't volunteer sensitive or HR-only details inside unrelated motivation or fit answers.
Return concise headings: Application context, Field map, Draft responses, Needs confirmation, and Review before submitting. For each draft, use the exact form question as the heading and put the answer in a blockquote so the user can copy it. Keep every answer specific, honest, and tied to a real detail from the posting or the user's background.
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 · 52 lines · 59 tokens per session scan A 5d471a724b53
job-application-assistant is a skill published in the GitHub repository surfmind-space/awesome-surfmind (5 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 867 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.
Other skills, from other repositories
dingtalk_channel_connect
Use a headed browser to automatically complete DingTalk channel integration for QwenPaw. Applicable when the user mentions DingTalk, developer console, Client ID, Client Secret, bot, Stream mode, binding or configuring a channel. Supports pausing when a login page is detected and resuming after the user logs in.
dingtalk_channel_connect
A browser-based procedure for connecting a QwenPaw bot to DingTalk, a workplace messaging platform. It covers creating or configuring the application and publishing the finished bot.
browser_cdp
Use this skill when the user explicitly wants to connect to a running Chrome browser, scan local CDP ports, specify a cdpport, or share a single browser across multiple agents/tools. By default browser opens no debugging port; pass an explicit cdpport only when the user wants another local tool to attach.
browser_cdp
Browser connection controls for finding local debugging ports, attaching to an already running Chrome browser, or sharing one browser between tools.
browser_visible
Browser launch controls for choosing whether a Chromium-based browser window is visible, which browser program to run, and which startup options to pass.
browser_visible
Use this skill when the user needs to control the browser launch mode for browser. By default browser is managed by Playwright and opens no debugging port (pass an explicit cdpport to let another local tool attach); headed controls whether the window is visible, and privatemode is kept for backward compatibility and…