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 YunyueLi/greenroom --skill job-intelgit clone --depth 1 https://github.com/YunyueLi/greenroomWrote 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/yunyueli/greenroom/job-intel)<a href="https://agentmods.dev/skills/yunyueli/greenroom/job-intel"><img src="https://agentmods.dev/badge/skills/yunyueli/greenroom/job-intel/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/yunyueli/greenroom/job-intel"><img src="https://agentmods.dev/badge/skills/yunyueli/greenroom/job-intel.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 | $0.00023 | $0.01082 |
| Opus 5 | $0.00012 | $0.00541 |
| Sonnet 5 | $0.00005 | $0.00216 |
| Haiku 4.5 | $0.00002 | $0.00108 |
Grade A, and why
job-intel 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 3d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 3d ago Changed · -104 tokens per session 76ff397f38c2
- 11d ago First seen · 65 lines · 127 tokens per session scan A e7bb417736fe
job-intel is a skill published in the GitHub repository YunyueLi/greenroom (11 stars, last pushed 4d ago), licensed AGPL-3.0. It adds 23 tokens to every session and 1,082 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.
Other skills, from other repositories
docs
Public-facing skill docs. Full mode prompts live in .agents/skills/careerops/.
test-personas
Internal test harness for plugin maintainers. End users should not invoke this. Runs synthetic personas through critical journeys against the plugin and produces LLM-judge findings reports. Trigger words "/test-personas", "run the test harness", "test the plugin end-to-end", "run the test personas".
jobfindsme
Find, compare, save, and track jobs with the local jobfindsme engine. Two user-facing scenarios: find matching jobs fast, and schedule pushes at any time/frequency.
interview-skills
A Chinese-language mock-interview skill for technology and internet-company roles. It uses a target company, job description, and resume to create interview practice and role-play an interviewer.
careerops
CareerOps agent skill — open-source career OS modes (scan, evaluate, rank, tailor, interview, followup, outcome, advise). Materials-first. Never invents experience. Never auto-applies.
ai-job-search
An open-source job-application framework built for Claude Code that uses a personal profile to assess job matches, tailor CVs, write cover letters, and prepare interview responses. A CV is a document describing your work history and skills.