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/xyruscode/ai-sync/job-search-and-applynpx skills add XyrusCode/ai-sync --skill job-search-and-applygit clone --depth 1 https://github.com/XyrusCode/ai-syncWrote 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/xyruscode/ai-sync/job-search-and-apply)<a href="https://agentmods.dev/skills/xyruscode/ai-sync/job-search-and-apply"><img src="https://agentmods.dev/badge/skills/xyruscode/ai-sync/job-search-and-apply.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 5.1 | $0.00093 | $0.01765 |
| Opus 5 | $0.00046 | $0.00882 |
| Sonnet 5 | $0.00019 | $0.00353 |
| Haiku 4.5 | $0.00009 | $0.00177 |
Grade A, and why
job-search-and-apply 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 5d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Job Search & Application Drafting
A repeatable workflow for finding job openings across a prioritized list of sources and turning each one into either a direct link or a ready-to-send application draft — never neither.
Before first use: gather the user's profile
This skill needs a few things from the user (once — reuse across runs, e.g. from memory, a config file, or by asking):
- Role/stack focus: what kind of roles to search for (title, core tech stack).
- Location & remote preference: home location, and whether to search local, remote, or both.
- Sources, in priority order: which job boards to check and in what order. Ask if not given; don't assume a default list — job boards are highly region- and industry-specific.
- Contact sign-off: email, phone, portfolio/site — used to sign drafted applications.
- Real, quantified experience to draw on for cover letters (achievements, metrics, skills) — pull from a resume, memory, or ask the user to point to a source. Never invent stats.
- Whether to name past employers in application content, or keep experience generic ("in a previous role," "I've built...") — ask once, remember the preference.
Step 1: Search, in the user's priority order
For each source in priority order:
- Prefer a direct connector/API if one is available and connected for that source.
- Otherwise, web_search for the role + location/remote qualifier on that specific site, then web_fetch the listing page(s) for full details (title, company, pay, remote status, post date).
- Capture the actual URL for each listing when the source provides one directly (many job boards do). Do not fabricate or guess at a URL — only pass along links returned by a real search or fetch.
- Some sources (large aggregators in particular) only surface listings via search snippets with no individually fetchable page. Note this explicitly rather than presenting a broken or fabricated link.
- If the user asks for remote-only, filter on the actual listing content, not just the title — watch for "remote" labels that mean remote-from-a-specific-country or fixed-timezone-hours rather than genuinely open. Flag anything like this explicitly instead of silently including it.
- If a source turns up nothing new, say so rather than skipping it silently — the user should know it was checked.
- Only expand beyond the user's given source list if they ask, or if the given sources return nothing relevant — confirm before broadening scope.
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.
- 5d ago First seen · 142 lines · 93 tokens per session scan A 2324c6c2c697
job-search-and-apply is a skill published in the GitHub repository XyrusCode/ai-sync (2 stars, last pushed 2d ago), licensed MIT. It adds 93 tokens to every session and 1,765 once invoked, about $0.0005 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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