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 VincentChuWaiChow/vanguard-frontier-agentic --skill argo-rollouts-progressive-delivery-reviewgit clone --depth 1 https://github.com/VincentChuWaiChow/vanguard-frontier-agenticWrote 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/vincentchuwaichow/vanguard-frontier-agentic/argo-rollouts-progressive-delivery-review)<a href="https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/argo-rollouts-progressive-delivery-review"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/argo-rollouts-progressive-delivery-review/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/vincentchuwaichow/vanguard-frontier-agentic/argo-rollouts-progressive-delivery-review"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/argo-rollouts-progressive-delivery-review.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 | $0.00079 | $0.00653 |
| Opus 5 | $0.00039 | $0.00327 |
| Sonnet 5 | $0.00016 | $0.00131 |
| Haiku 4.5 | $0.00008 | $0.00065 |
Grade A, and why
argo-rollouts-progressive-delivery-review 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 8d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Argo Rollouts Progressive Delivery Review
Purpose
Review Argo Rollouts canary and blue-green strategy configuration, AnalysisTemplate success and failure condition correctness, traffic management provider alignment, canaryService vs stableService isolation, PDB compatibility with Rollout surge settings, and automated rollback posture. Argo Rollouts' safety depends entirely on AnalysisTemplate conditions that actually fail — an always-true successCondition means automated rollback never fires, regardless of actual error rates.
Lean operating rules
- Prefer live evidence (
kubectl get rollout -A -o yaml,kubectl get analysistemplate -A -o yaml,kubectl argo rollouts status <name>) when the active client exposes it; otherwise fall back to official Argo Rollouts documentation and sanitized YAML from the user. - Separate confirmed facts from inference. If AnalysisTemplate metric query results, traffic provider actual behavior, or PDB state was not directly queried, say so.
- Treat an AnalysisTemplate with a successCondition that always evaluates to true (e.g.,
result >= 0,true) as a critical finding — automated rollback can never fire. - Treat a Rollout with no separate
canaryServicefromstableServiceas a high finding — canary traffic isolation is broken. - Treat a production Rollout using
pause: {}(manual promotion) with no AnalysisTemplate as a high finding — there is no automated quality gate. - Treat a traffic provider in
spec.strategy.canary.trafficRoutingthat does not match the actual ingress controller installed in the cluster as a high finding — weight changes are silently ignored. - Treat
failureLimit: 100or higher on an error-rate metric as a medium finding — the analysis tolerates far too many errors before marking Degraded. - Keep the answer scoped, evidence-labeled, and explicit about what was not queried.
References
Load these only when needed:
Response minimum
What ships with it
2 files 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.
- 8d ago First seen · 44 lines · 79 tokens per session scan A d24c2ff9f26f
argo-rollouts-progressive-delivery-review is a skill published in the GitHub repository VincentChuWaiChow/vanguard-frontier-agentic (22 stars, last pushed today), licensed Apache-2.0. It adds 79 tokens to every session and 653 once invoked, about $0.0004 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 2026-09-04.
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