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.
git clone --depth 1 https://github.com/cyn-zhang/job-radarWrote 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/commands/cyn-zhang/job-radar/job-oa)<a href="https://agentmods.dev/commands/cyn-zhang/job-radar/job-oa"><img src="https://agentmods.dev/badge/commands/cyn-zhang/job-radar/job-oa/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/commands/cyn-zhang/job-radar/job-oa"><img src="https://agentmods.dev/badge/commands/cyn-zhang/job-radar/job-oa.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 | $0.00014 | $0.00182 |
| Opus 5 | $0.00007 | $0.00091 |
| Sonnet 5 | $0.00003 | $0.00036 |
| Haiku 4.5 | $0.00001 | $0.00018 |
Grade A, and why
job-oa 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.
What it actually says
Run JobRadar OA preparation module. Load config from config.yaml, then follow Module 13 in SKILL.md.
Usage examples:
- /job-oa — scan tracker for applications in OA stage and offer prep for each
- /job-oa Atlassian — prep for a specific company's OA
- /job-oa coding — jump straight to coding assessment prep
- /job-oa video — jump straight to video interview prep
- /job-oa psychometric — jump straight to aptitude test prep
How it works:
- Reads the JD (from applications/ folder or pasted) to detect OA type
- Generates a targeted prep plan with resources and tips
- If deadline is within 7 days, flags urgency
- Offers to update tracker status to OA in progress
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 · 19 lines · 14 tokens per session scan A 784888d0b1cb
job-oa is a command published in the GitHub repository cyn-zhang/job-radar (3 stars, last pushed 3mo ago), licensed MIT. It adds 14 tokens to every session and 182 once invoked, about $0.0001 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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