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 health_overviewgit 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/health_overview)<a href="https://agentmods.dev/skills/deeplink-org/probing/health_overview"><img src="https://agentmods.dev/badge/skills/deeplink-org/probing/health_overview/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/health_overview"><img src="https://agentmods.dev/badge/skills/deeplink-org/probing/health_overview.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 | $0.00031 | $0.00431 |
| Opus 5 | $0.00015 | $0.00216 |
| Sonnet 5 | $0.00006 | $0.00086 |
| Haiku 4.5 | $0.00003 | $0.00043 |
Grade A, and why
health_overview 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 10d 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
Training health overview
快速扫描目标进程：有哪些表、CPU/GPU 最近采样、训练是否在推进、TorchProbe shadow 开销、集群节点与 NCCL profiler 计数器。 适合作为 agent 的默认第一步，或用户不确定从哪查起时使用。
Parameters
sample_limit(integer, default5): Recent CPU/GPU samples to show
Steps (summary)
available_tables—information_schema可见表host_cpu/gpu_mem— 最近 CPU/GPU 采样latest_torch_step—python.torch_trace最新local_steptorch_probe_overhead—python.torch_step_timingdispatch/hook tax（80-step 窗口）cluster_nodes—cluster.nodes存活（若有）nccl_data_integrity—nccl.profiler_counters最新一行（若有 NCCL profiler）
Related skills
- 训练变慢 → skill: module_bottleneck 或 slow_rank
- 显存上涨 → skill: memory_leak
- 进程卡住 → skill: training_hang
- NCCL watchdog → skill: watchdog_timeout
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.
- 10d ago First seen · 39 lines · 31 tokens per session scan A d0438b89e532
health_overview is a skill published in the GitHub repository DeepLink-org/probing (11 stars, last pushed 4d ago), licensed Apache-2.0. It adds 31 tokens to every session and 431 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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