Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Miracle-Aligner/job-search-hqnpx agentmods add skills/miracle-aligner/job-search-hq/refresh-listingsWrote 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/miracle-aligner/job-search-hq/refresh-listings)<a href="https://agentmods.dev/skills/miracle-aligner/job-search-hq/refresh-listings"><img src="https://agentmods.dev/badge/skills/miracle-aligner/job-search-hq/refresh-listings/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/miracle-aligner/job-search-hq/refresh-listings"><img src="https://agentmods.dev/badge/skills/miracle-aligner/job-search-hq/refresh-listings.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 | $0.00113 | $0.02028 |
| Opus 5 | $0.00056 | $0.01014 |
| Sonnet 5 | $0.00023 | $0.00406 |
| Haiku 4.5 | $0.00011 | $0.00203 |
Grade A, and why
refresh-listings 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 11d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
refresh-listings
Pull fresh AI/ML roles from three sources and ingest the new ones.
Sources
Sources live in config/sources.json — walk every
entry with "enabled": true, in order, using its urls[]. Edit that file to add,
remove, disable, or repoint a source; no skill change needed. Selectors stay
here (sites rotate class names); config holds only the stable bits. The table
below mirrors the shipped defaults.
| Source | URL | Auth? |
|---|---|---|
| DOU | https://jobs.dou.ua/vacancies/?category=AI%2FML&exp=1-3 |
no |
| DOU | https://jobs.dou.ua/vacancies/?category=AI%2FML&exp=3-5 |
no |
| Djinni | https://djinni.co/my/dashboard/ (personalised recommendations) |
yes |
https://www.linkedin.com/jobs/collections/recommended (the user's recommended feed) |
yes |
Djinni dashboard and LinkedIn require the user's logged-in session — open them in Claude in Chrome. If the user isn't logged in (the landing page is the public sign-in screen), stop and ask them to log in before retrying. Don't try to scrape an anonymous version — the data is different and the dedup keys won't line up.
Flow (per source)
- Open the URL in a Claude-in-Chrome tab. Create a fresh tab group if needed.
- Expand the list:
- DOU: click
.more-btnuntil the listing count stops growing (typically 4–6 clicks). - Djinni / LinkedIn: scroll the inner list container until the count plateaus.
- DOU: click
- Extract
{title, company, url, salary, loc}for every visible row. Use the per-source selectors below. - Drop noise via the title-filter regex.
- Dedupe against
data/vacancies.json(path-match + company/title match). - Hand survivors to
/add-vacancyper role.
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.
- 11d ago First seen · 181 lines · 113 tokens per session scan A 155348d3d552
refresh-listings is a skill published in the GitHub repository Miracle-Aligner/job-search-hq (1 stars, last pushed 3mo ago), licensed MIT. It adds 113 tokens to every session and 2,028 once invoked, about $0.0006 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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