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 itssosunny/job-searcher --skill career-kr-collectgit clone --depth 1 https://github.com/itssosunny/job-searcherWrote 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/itssosunny/job-searcher/career-kr-collect)<a href="https://agentmods.dev/skills/itssosunny/job-searcher/career-kr-collect"><img src="https://agentmods.dev/badge/skills/itssosunny/job-searcher/career-kr-collect/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/itssosunny/job-searcher/career-kr-collect"><img src="https://agentmods.dev/badge/skills/itssosunny/job-searcher/career-kr-collect.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 | $0.00067 | $0.00737 |
| Opus 5 | $0.00034 | $0.00368 |
| Sonnet 5 | $0.00013 | $0.00147 |
| Haiku 4.5 | $0.00007 | $0.00074 |
Grade A, and why
career-kr-collect 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.
Career.co.kr Collect
Collect recent public postings from Career.co.kr's public jobs listing and
return normalized JSON (docs/SCHEMA.md). Self-contained: this skill's
collect.py carries its own fetch + parse and depends only on curl_cffi,
beautifulsoup4, lxml.
Boundaries
- Read-only. GET of the public
/jobs/listing only. Never log in, save a job, message, or apply. Do not submit any form. - No fabrication. Fields the source does not expose are
null; titles, companies, locations, and deadlines are copied verbatim. - A collected posting reflects the public page at run time; it is not proof the role is still open.
Run
If collect.py fails with ModuleNotFoundError, install the deps yourself
(pip install curl_cffi beautifulsoup4 lxml) and retry — do not ask the user
to install anything.
pip install curl_cffi beautifulsoup4 lxml # or: pip install -r requirements.txt
python3 skills/career-kr-collect/collect.py --query "개발자" --limit 20
python3 skills/career-kr-collect/collect.py --limit 20 # whole listing
--query, -q— filter the listing by title/company substring (client-side; see Notes). Omit to return the whole listing.--limit, -n— max postings (default 20).--pretty— indent the JSON.
Output: a JSON array on stdout (source, external_id, url, title, company, location, employment_type, posted_at, deadline, salary, snippet, collected_at); a one-line count on stderr. Career.co.kr exposes company,
location, employment type, deadline, and sector hashtags (kept in snippet).
Notes
- Source:
SRC-JOB-CAREER— https://job.career.co.kr/ (collectible_open, re-verified 2026-07-07). The root auto-redirects to/jobs/. - Keyword filtering is client-side. The public
/jobs/listing ignores GET keyword params (?keyword=,?searchWord=,?q=all return the same featured list); the site's server-side search is a POST-only filter form, which is out of scope for a read-only GET collector. So--queryfilters the fetched listing by title/company substring, like the WeWorkRemotely feed collector. For unfiltered breadth, omit--query. - Rows are
tbody trcontaining a/recruit/view/<id>anchor;external_idis that numeric id. Canonical detail URL:/recruit/view/<id>. - If the layout changes and 0 postings return, re-derive the
tbody tr/a[href*='/recruit/view/']selectors and the per-cell mapping against a live fetch (do not hardcode a specific company).
What ships with it
1 file 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 · 67 tokens per session scan A e6282a8a243b
career-kr-collect is a skill published in the GitHub repository itssosunny/job-searcher (14 stars, last pushed 2mo ago), licensed MIT. It adds 67 tokens to every session and 737 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 2026-08-30.
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