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 agentmods add skills/ww-w-ai/bkit-claude-code/deploynpx skills add ww-w-ai/bkit-claude-code --skill deploygit clone --depth 1 https://github.com/ww-w-ai/bkit-claude-codeWrote 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/ww-w-ai/bkit-claude-code/deploy)<a href="https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/deploy"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/deploy.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.01248 |
| Opus 5 | $0.00014 | $0.00624 |
| Sonnet 5 | $0.00006 | $0.00250 |
| Haiku 4.5 | $0.00003 | $0.00125 |
Grade A, and why
deploy 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 4d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deploy Skill
Deploy code to target environment with automated CI/CD pipeline generation. Strategy adapts based on project level (Starter/Dynamic/Enterprise).
Usage
/pdca deploy {feature} # Deploy to default env (dev)
/pdca deploy {feature} --env dev # Deploy to DEV
/pdca deploy {feature} --env staging # Deploy to STAGING (requires DEV 90%+)
/pdca deploy {feature} --env prod # Deploy to PROD (requires STAGING 95%+ & Human Approval)
/pdca deploy status # Show deploy state machine status
Level-Based Strategy
| Level | Strategy | Environments | Tools |
|---|---|---|---|
| Starter | Guide only | dev | GitHub Pages, Netlify, Vercel |
| Dynamic | Docker + GHA | dev, staging | Docker Compose, GitHub Actions |
| Enterprise | 6-Layer CI/CD | dev, staging, prod | Terraform, EKS, ArgoCD, Canary |
Deploy Flow
/pdca deploy feature --env dev
│
▼
① Level Detection (Starter/Dynamic/Enterprise)
│
▼
② Generate CI/CD Files (if not exist)
├── .github/workflows/deploy.yml
├── Dockerfile (Dynamic/Enterprise)
├── docker-compose.yml (DEV)
├── k8s/ manifests (Enterprise)
└── terraform/ (Enterprise)
│
▼
③ Deploy State Machine Transition
init → dev → verify(90%) → staging → verify(95%) → approval → prod(canary) → complete
│
▼
④ Return to PDCA Check phase
Environment Promotion Gates
| Gate | Condition | Action |
|---|---|---|
| DEV → STAGING | Match Rate ≥ 90% | Auto-promote |
| STAGING → PROD | Match Rate ≥ 95% + Human Approval | Require /pdca deploy --env prod |
| PROD Canary | Error rate < threshold | Auto-rollout 10% → 25% → 50% → 100% |
Generated Files
Starter
- Deployment guide document only
Dynamic
.github/workflows/deploy.yml— Docker build + push + deployDockerfile— Multi-stage builddocker-compose.yml— DEV environment.env.example— Environment variables template
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.
- 4d ago First seen · 137 lines · 28 tokens per session scan A a84622d0fe82
deploy is a skill published in the GitHub repository ww-w-ai/bkit-claude-code (594 stars, last pushed 17d ago), licensed Apache-2.0. It adds 28 tokens to every session and 1,248 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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