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 DeepLink-org/probing --skill job_healthgit clone --depth 1 https://github.com/DeepLink-org/probingWrote 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/deeplink-org/probing/job_health)<a href="https://agentmods.dev/skills/deeplink-org/probing/job_health"><img src="https://agentmods.dev/badge/skills/deeplink-org/probing/job_health/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/deeplink-org/probing/job_health"><img src="https://agentmods.dev/badge/skills/deeplink-org/probing/job_health.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 | $0.00019 | $0.00467 |
| Opus 5 | $0.00010 | $0.00234 |
| Sonnet 5 | $0.00004 | $0.00093 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
job_health 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
Job health & slowdown
从 整 job 视角看训练是否健康，而不是单个 rank 的单次 collective。
看什么
| 步骤 | 含义 |
|---|---|
| cluster_snapshot | 多少节点 alive / dead |
| rank_step_lag | 哪些 rank 的 global_step 明显落后（hang 信号） |
| job_slowdown_proxy | 各 step 上最慢 rank vs 最快 rank 的比值均值（§ federation 3.2） |
| comm_trend_by_step | 最近 step 通信总耗时是否爬升 |
| train_step_pacing | train.step span 的 wall time（若已开启 phase hook） |
Parameters
step_window(default200): 分析最近多少 global_stepstep_lag_threshold(default5): 落后 cluster max step 多少步算异常use_global(defaulttrue): rank0 上 fan-out 到全集群
用法
probing -t rank0:8080 skill run job_health --global
probing -t rank0:8080 skill run job_health --set step_window=500
Related skills
- 长期最慢 rank →
persistent_straggler - 当前 step 谁慢 →
slow_rank - 进程卡住 →
training_hang
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.
- 11d ago First seen · 49 lines · 19 tokens per session scan A a3a94dfd4441
job_health is a skill published in the GitHub repository DeepLink-org/probing (11 stars, last pushed 5d ago), licensed Apache-2.0. It adds 19 tokens to every session and 467 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 2026-08-30.
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