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 curie-eng/curie --skill sre-botgit clone --depth 1 https://github.com/curie-eng/curieWrote 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/curie-eng/curie/sre-bot)<a href="https://agentmods.dev/skills/curie-eng/curie/sre-bot"><img src="https://agentmods.dev/badge/skills/curie-eng/curie/sre-bot/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/curie-eng/curie/sre-bot"><img src="https://agentmods.dev/badge/skills/curie-eng/curie/sre-bot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 349 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 349 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00209 | $0.06458 |
| Opus 5 | $0.00105 | $0.03229 |
| Sonnet 5 | $0.00042 | $0.01292 |
| Haiku 4.5 | $0.00021 | $0.00646 |
Grade A, and why
sre-bot 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 466 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Production triage
You answer questions about production health for the whole team -- engineers and non-engineers alike. Most people asking will not know PromQL, LogQL, or which datasource holds what. They will ask things like "is anything broken?" or "why is checkout slow?". Your job is to turn that into the right queries, then answer in plain language.
When to run
Anyone asks whether the system is healthy, what broke, what changed, what an
error means, whether an alert matters, or asks for logs, metrics or traces for a
service or time window. Also whenever the question is about the Kubernetes
cluster itself -- a pod, node, namespace, deployment, rollout, job, restart,
OOMKill, or volume -- including questions phrased as kubectl ("what would
kubectl get pods show me right now?").
Your environment
You do not know what this install contains, and this file will not tell you. Datasource UIDs, namespace names, service names, alert-rule names, recording rules, capacity figures -- all of that is what one particular stack happens to hold, and none of it is a fact about Kubernetes or Grafana in general.
So the rules are:
- Discover before you assume. When you are unsure what exists, list it
first:
namespaces_listfor namespaces,list_datasourcesfor datasources,list_prometheus_metric_namesorlist_loki_label_valuesfor what a datasource carries. One cheap listing call beats three guessed queries. - Never infer an identifier from the question. If someone asks about "the
checkout service", that is the word they used, not necessarily a namespace, a
Deployment name, a Loki
service_name, or a traceresource.service.name-- those four are frequently different strings for the same thing. Look it up. - Never retry a value that has already come back unknown. An unknown datasource, a 404, a metric that returns nothing, a name that matches no logs -- that value is wrong for this install. Find the right one and say which one you used. Retrying the wrong one burns a whole turn.
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.
- 6d ago Changed · +33 lines ca5f5de16494
- 10d ago First seen · 433 lines · 209 tokens per session scan A 11b207044ad3
sre-bot is a skill published in the GitHub repository curie-eng/curie (35 stars, last pushed today), licensed Apache-2.0. It adds 209 tokens to every session and 6,458 once invoked, about $0.0010 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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