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 scitix/siclaw --skill deployment-rollout-debuggit clone --depth 1 https://github.com/scitix/siclawWrote 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/scitix/siclaw/deployment-rollout-debug)<a href="https://agentmods.dev/skills/scitix/siclaw/deployment-rollout-debug"><img src="https://agentmods.dev/badge/skills/scitix/siclaw/deployment-rollout-debug/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/scitix/siclaw/deployment-rollout-debug"><img src="https://agentmods.dev/badge/skills/scitix/siclaw/deployment-rollout-debug.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 | $0.00042 | $0.01227 |
| Opus 5.5 | $0.00017 | $0.00491 |
| Sonnet 5.5 | $0.00008 | $0.00245 |
| Haiku 4.5 | $0.00004 | $0.00123 |
Grade A, and why
deployment-rollout-debug 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 1mo 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deployment Rollout Failure Diagnosis
When a Deployment rollout is stuck, not progressing, or shows replica mismatches, follow this flow to identify the root cause.
Scope: This skill is for diagnosis only. Once you identify the root cause, report it to the user and stop. Do NOT attempt to roll back, scale, or modify the Deployment — that should be left to the user.
Diagnostic Flow
1. Check rollout status
kubectl rollout status deployment/<name> -n <ns> --timeout=5s
This shows whether the rollout is progressing, complete, or stuck. A timeout indicates the rollout is not making progress.
2. Get Deployment details
kubectl get deployment <name> -n <ns> -o wide
Compare the columns:
- DESIRED — target replica count
- CURRENT — total pods (old + new)
- UP-TO-DATE — pods running the new version
- AVAILABLE — pods ready to serve traffic
If UP-TO-DATE < DESIRED or AVAILABLE < DESIRED, the rollout is incomplete.
3. Describe the Deployment
kubectl describe deployment <name> -n <ns>
Focus on:
- Conditions — look for
Progressing(status and reason) andAvailable - Events — look for scaling events, errors, or warnings
- Strategy — note
maxSurgeandmaxUnavailablesettings
4. Check ReplicaSets
kubectl get rs -n <ns> -l app=<name>
If the label app=<name> doesn't match, find ReplicaSets owned by the Deployment:
kubectl get rs -n <ns> --sort-by='.metadata.creationTimestamp' | grep <name>
You should see the old RS (with reduced replicas) and the new RS (scaling up). If the new RS has 0 ready replicas, its pods are failing.
5. Check new ReplicaSet's pods
Find pods from the new RS:
kubectl get pods -n <ns> -l app=<name> --sort-by='.metadata.creationTimestamp'
Check the status of the newest pods. Based on their status:
- Pending → Use the
pod-pending-debugskill - CrashLoopBackOff / Error → Use the
pod-crash-debugskill - ImagePullBackOff / ErrImagePull → Use the
image-pull-debugskill - Running but not Ready → Check readiness probe below
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.
- 1mo ago First seen · 145 lines · 42 tokens per session scan A 103519cbee85
deployment-rollout-debug is a skill published in the GitHub repository scitix/siclaw (238 stars, last pushed 11d ago), licensed Apache-2.0. It adds 42 tokens to every session and 1,227 once invoked, about $0.0002 per session on Opus 5.5. 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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