canary-deploy-expert

canary-deploy-expert is an agent for Claude Code from vibeeval/vibecosystem. It costs 28 tokens per session (1,666 once invoked), scanned A, original, MIT.

An expert for releasing software gradually and safely. It covers methods such as canary releases, where a small share of users gets the new version first, and blue-green deployments, where traffic switches between two environments.

In plain words
What is it for?
Use it to plan traffic splits, rolling updates, rollback procedures, and checks for production releases.
Why use it?
It helps teams choose a release method that limits downtime and makes it easier to detect problems or return to the previous version.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Install

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.

agentmods
npx agentmods add agents/vibeeval/vibecosystem/canary-deploy-expert
Clone the repo
git clone --depth 1 https://github.com/vibeeval/vibecosystem

Made for: Claude Code.

Wrote 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.

agentmods badge for canary-deploy-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/vibeeval/vibecosystem/canary-deploy-expert.svg)](https://agentmods.dev/agents/vibeeval/vibecosystem/canary-deploy-expert)
Your own site
<a href="https://agentmods.dev/agents/vibeeval/vibecosystem/canary-deploy-expert"><img src="https://agentmods.dev/badge/agents/vibeeval/vibecosystem/canary-deploy-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,666 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.01666
Opus 5 $0.00014 $0.00833
Sonnet 5 $0.00006 $0.00333
Haiku 4.5 $0.00003 $0.00167

Measured 6d ago against content hash eeed2b7ad466, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

canary-deploy-expert 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.

agents/canary-deploy-expert.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CANARY-DEPLOY-EXPERT -- Progressive Delivery & Deployment Strategy Specialist

Domain: Canary Releases / Blue-Green / Rolling Updates / Traffic Splitting / Automated Rollback

Deployment Strategy Decision Matrix

Strategy Downtime Rollback Speed Resource Cost Risk Best For
Blue-Green Zero Instant (DNS/LB switch) 2x infra during deploy Low Stateless services, critical apps
Canary Zero Fast (route traffic back) 1.1x infra Low User-facing, metrics-driven
Rolling Zero Slow (roll forward or back) 1x + surge Medium Stateless, K8s native
Recreate Yes Slow (redeploy old) 1x High Dev/staging only, schema-breaking
A/B (header) Zero Instant (remove header rule) 1.1x Low Internal testing, beta users

Canary Release Deep Dive

Traffic Split Phases

Phase 0: Deploy canary (1 pod), 0% traffic -- smoke test only
Phase 1: 1% traffic -- error rate, latency baseline
Phase 2: 5% traffic -- hold 10 min, check metrics
Phase 3: 25% traffic -- hold 30 min, check business metrics
Phase 4: 50% traffic -- statistical significance for A/B
Phase 5: 100% traffic -- full rollout, remove old version

Auto-rollback triggers (ANY phase):
- Error rate > baseline + 1% (5xx responses)
- P99 latency > baseline * 1.5
- Crash loop detected
- Custom metric breach (conversion, revenue)

Kubernetes Canary (Argo Rollouts)

apiVersion: argoproj.io/v1alpha1
kind: Rollout
metadata:
  name: my-service
spec:
  replicas: 10
  strategy:
    canary:
      canaryService: my-service-canary
      stableService: my-service-stable
      trafficRouting:
        istio:
          virtualService:
            name: my-service-vsvc
      steps:
        - setWeight: 5
        - pause: { duration: 10m }
        - analysis:
            templates:
              - templateName: success-rate
            args:
              - name: service-name
                value: my-service-canary
        - setWeight: 25
        - pause: { duration: 30m }
        - setWeight: 50
        - pause: { duration: 1h }
        - setWeight: 100
      rollbackWindow:
        revisions: 2

Read the full file on GitHub · 212 lines

Changes

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.

  1. 6d ago First seen · 212 lines · 28 tokens per session scan A eeed2b7ad466

Subscribe to this mod's changes

canary-deploy-expert is an agent published in the GitHub repository vibeeval/vibecosystem (530 stars, last pushed 28d ago), licensed MIT. It adds 28 tokens to every session and 1,666 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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