Borrowing it
Nothing to install: this file belongs to karthikrshet/Career-Agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/karthikrshet/Career-Agents/main/.agents/skills/career-pipeline-scan/SKILL.mdgit clone --depth 1 https://github.com/karthikrshet/Career-AgentsWrote 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/karthikrshet/career-agents/career-pipeline-scan)<a href="https://agentmods.dev/skills/karthikrshet/career-agents/career-pipeline-scan"><img src="https://agentmods.dev/badge/skills/karthikrshet/career-agents/career-pipeline-scan/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/karthikrshet/career-agents/career-pipeline-scan"><img src="https://agentmods.dev/badge/skills/karthikrshet/career-agents/career-pipeline-scan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.00208 |
| Opus 5 | $0.00019 | $0.00104 |
| Sonnet 5 | $0.00008 | $0.00042 |
| Haiku 4.5 | $0.00004 | $0.00021 |
Grade A, and why
career-pipeline-scan 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.
What it actually says
career-pipeline-scan
Scan 8 major ATS job board providers for active job postings with native streaming compression.
Supported Providers
greenhouse(e.g. Stripe, Figma, Airbnb)lever(e.g. Netlify, Spotify)ashby(e.g. OpenAI, Notion, Ramp — auto gzip/brotli decompression)workablesmartrecruitersremoteokarbeitnowhimalayas
Usage
career-agents pipeline scan <companyToken> [provider]
# Examples:
career-agents pipeline scan openai ashby
career-agents pipeline scan stripe greenhouse
career-agents pipeline scan netlify lever
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 · 32 lines · 38 tokens per session scan A 234b63f8158c
career-pipeline-scan is a skill published in the GitHub repository karthikrshet/Career-Agents (44 stars, last pushed 6d ago), licensed MIT. It adds 38 tokens to every session and 208 once invoked, about $0.0002 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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