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 naver-recruit-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/naver-recruit-collect)<a href="https://agentmods.dev/skills/itssosunny/job-searcher/naver-recruit-collect"><img src="https://agentmods.dev/badge/skills/itssosunny/job-searcher/naver-recruit-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/naver-recruit-collect"><img src="https://agentmods.dev/badge/skills/itssosunny/job-searcher/naver-recruit-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 | $0.00065 | $0.00772 |
| Opus 5 | $0.00032 | $0.00386 |
| Sonnet 5 | $0.00013 | $0.00154 |
| Haiku 4.5 | $0.00006 | $0.00077 |
Grade A, and why
naver-recruit-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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NAVER Careers Collect
Collect current public postings from NAVER Careers 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 (plus beautifulsoup4/lxml,
shared with the other collectors).
Boundaries
- Read-only. GET of the public listing JSON endpoint 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, and dates 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/naver-recruit-collect/collect.py --limit 20
python3 skills/naver-recruit-collect/collect.py --query "AI" --limit 20
--query, -q— server-side search word. NAVER's listing endpoint takes answparameter that genuinely filters at the source, so this narrows results (empty default = all open postings).--limit, -n— max postings (default 20). The endpoint pages viafirstIndex; the collector walks pages until it has--limitor the source is exhausted.--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.
Notes
- Source:
SRC-JOB-NAVER— https://recruit.navercorp.com/ (re-verified 2026-07-07). This is a company career portal: it typically lists only a handful of open postings at a time (all NAVER-group companies). - Listing endpoint:
GET /rcrt/loadJobList.do?sw=<kw>&firstIndex=<n>returns JSON{list, totalSize}. The/rcrt/list.dopage renders those rows client-side viadrawJobList(), so scraping the HTML would yield nothing — call the JSON endpoint (this skill does). external_idisannoId; the canonical posting URL is the item'sjobDetailLink(/rcrt/view.do?annoId=<id>).companyissysCompanyCdNm(the specific NAVER-group entity).locationis leftnull— the feed exposes only aworkAreaCdcode with no readable label.snippetcarries the job class / sub-job / hire-type tags.- If the endpoint returns 0 rows or its field names change, re-derive against a
live fetch of
/rcrt/loadJobList.do(do not hardcode a specific posting).
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 · 63 lines · 65 tokens per session scan A b1bbf7754c2c
naver-recruit-collect is a skill published in the GitHub repository itssosunny/job-searcher (14 stars, last pushed 2mo ago), licensed MIT. It adds 65 tokens to every session and 772 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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