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 ww-w-ai/bkit-claude-code --skill enterprisegit 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/enterprise)<a href="https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/enterprise"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/enterprise/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/ww-w-ai/bkit-claude-code/enterprise"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/enterprise.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 | $0.00106 | $0.03562 |
| Opus 5.5 | $0.00042 | $0.01425 |
| Sonnet 5.5 | $0.00021 | $0.00712 |
| Haiku 4.5 | $0.00011 | $0.00356 |
Grade A, and why
enterprise 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 — 502 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Advanced (Enterprise) Skill
Actions
| Action | Description | Example |
|---|---|---|
init |
Project initialization (/init-enterprise feature) | /enterprise init my-platform |
guide |
Display development guide | /enterprise guide |
help |
MSA/Infrastructure help | /enterprise help |
init (Project Initialization)
- Create Turborepo monorepo structure
- apps/, packages/, services/, infra/ folder structure
- Create CLAUDE.md (Level: Enterprise specified)
- docs/ 5-category structure
- infra/terraform/, infra/k8s/ base templates
- Initialize the pipeline store —
writeBkitMemory()inlib/pdca/status.js, which writes.bkit/state/memory.json(the migrated path of.bkit-memory.json). This holds the project level and the 9-phasepipelineStatus, read by the pipeline Stop hooks for phases 5, 6 and 9. It is NOT where the PDCA phase lives — that is.bkit/state/pdca-status.json.
guide (Development Guide)
- AI Native 10-Day development cycle
- Microservices architecture patterns
- Phase 1-9 full Pipeline (Enterprise version)
help (Infrastructure Help)
- Kubernetes basic concepts
- Terraform IaC patterns
- AWS EKS, RDS configuration guide
Target Audience
- Senior developers
- CTOs / Architects
- Large-scale system operators
Tech Stack
Frontend:
- Next.js 14+ (Turborepo monorepo)
- TypeScript
- Tailwind CSS
- TanStack Query
- Zustand
- Sentry Browser SDK (@sentry/nextjs) — Error tracking + Session Replay
Backend:
- Python FastAPI (microservices) — default
- PostgreSQL (schema separation)
- Redis (cache, Pub/Sub)
- RabbitMQ / SQS (message queue)
- Sentry Server SDK (sentry-sdk[fastapi]) — Error tracking + APM
Infrastructure:
- AWS (EKS, RDS, S3, CloudFront)
- Kubernetes (Kustomize)
- Terraform (IaC)
- ArgoCD (GitOps)
- ALB + NGINX Ingress Controller (L7 load balancing)
- CORS: Ingress annotation으로 처리
nginx.ingress.kubernetes.io/enable-cors: "true"
- NLB(L4)는 gRPC/WebSocket 전용 서비스에만 사용
CI/CD:
- GitHub Actions
- Docker
- Semgrep (SAST) + Trivy (Container Scan)
Monitoring & Error Tracking:
- Sentry — Error tracking, grouping, regression detection
- Prometheus + Grafana — Metrics & dashboards
- Loki + Promtail — Log aggregation
- Tempo + OpenTelemetry — Distributed tracing
- Alertmanager → PagerDuty (critical) / Slack (warning)
Self-Healing Pipeline:
- Sentry Webhook → Self-Healing Agent trigger
- 4-Layer Living Context (Scenarios, Invariants, Impact, Incidents)
- Auto-fix (max 5 iterations) → Auto PR → Canary Deploy
- Auto-Rollback on error rate spike
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 Changed · +4 lines 5a34b01d52d3
- 1mo ago First seen · 498 lines · 106 tokens per session scan A adadbfadc04c
enterprise is a skill published in the GitHub repository ww-w-ai/bkit-claude-code (604 stars, last pushed 24d ago), licensed Apache-2.0. It adds 106 tokens to every session and 3,562 once invoked, about $0.0004 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 2026-09-03.
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