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 lotte-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/lotte-recruit-collect)<a href="https://agentmods.dev/skills/itssosunny/job-searcher/lotte-recruit-collect"><img src="https://agentmods.dev/badge/skills/itssosunny/job-searcher/lotte-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/lotte-recruit-collect"><img src="https://agentmods.dev/badge/skills/itssosunny/job-searcher/lotte-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 | $0.00750 |
| Opus 5 | $0.00032 | $0.00375 |
| Sonnet 5 | $0.00013 | $0.00150 |
| Haiku 4.5 | $0.00006 | $0.00075 |
Grade A, and why
lotte-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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lotte Recruit Collect
Collect current public postings from Lotte Recruit's announcement list 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 announcement-list page 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 application 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/lotte-recruit-collect/collect.py --limit 20
python3 skills/lotte-recruit-collect/collect.py --query "IT" --limit 20
--query, -q— filter by title/company substring. This is a company career portal that serves one flat list of every open announcement and ignores a server-side keyword param, so the filter is applied client-side to the fetched list (empty default = all open announcements).--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.
Notes
- Source:
SRC-JOB-LOTTE— https://recruit.lotte.co.kr/ (re-verified 2026-07-07). The announcement list is server-rendered, so a plain GET of/apply/announcement/listreturns every card — no browser needed. - Cards are
liwrappingdiv.job-card-group:.cmp-nameis the Lotte-group entity,.card-tit ais the title +/apply/announcement/detail/<id>link,.card-foot .dateis the application period and.ddaythe D-day tag. external_idis the numeric announcement id; the canonical posting URL is/apply/announcement/detail/<id>.deadlineis parsed from the closing date of the application period (… ~ 2026.07.07→2026-07-07).locationandemployment_typearenull(the list card shows neither); the 신입/경력 badge and D-day are kept insnippet.- If the layout changes and 0 postings return, re-derive the
.job-card-groupchild selectors 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 · 62 lines · 65 tokens per session scan A 0ca48297af16
lotte-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 750 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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