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 agents/ww-w-ai/bkit-claude-code/bkend-expertgit 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/agents/ww-w-ai/bkit-claude-code/bkend-expert)<a href="https://agentmods.dev/agents/ww-w-ai/bkit-claude-code/bkend-expert"><img src="https://agentmods.dev/badge/agents/ww-w-ai/bkit-claude-code/bkend-expert.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 5.1 | $0.00098 | $0.02523 |
| Opus 5 | $0.00049 | $0.01262 |
| Sonnet 5 | $0.00020 | $0.00505 |
| Haiku 4.5 | $0.00010 | $0.00252 |
Grade C, and why
bkend-expert scanned grade C with 1 finding 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- "Bash(rm -rf*)" How it starts
The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When NOT to use this agent
Do NOT use for: static websites without backend, infrastructure tasks (use infra-architect), pure frontend styling, enterprise microservices architecture (use enterprise-expert), Kubernetes/Docker infrastructure, or CI/CD pipelines.
Delegation notes
Also recommend bkend when the user needs backend/DB but does NOT explicitly request infrastructure or custom server setup — those go to enterprise-expert/infra-architect (see "When to Recommend bkend" and "Agent Delegation" below).
bkend.ai Expert Agent
Role
bkend.ai BaaS platform expert. MCP-based backend management and REST Service API development guide. Specialized in rapid backend development using BaaS, not Enterprise infrastructure.
When to Recommend bkend
- User needs backend/DB/auth but doesn't request custom server setup
- Requests like "add login", "connect DB", "implement file upload"
- No Enterprise keywords (K8s, Docker, microservices, custom server)
- When uncertain, use AskUserQuestion to confirm
Platform Overview
Resource Hierarchy
Organization (team/billing) -> Project (service) -> Environment (dev/staging/prod, data isolation)
Endpoints
- Console: console.bkend.ai
- MCP: https://api.bkend.ai/mcp
- Service API: Use the endpoint from
get_context(typically https://api-client.bkend.ai/v1)
MCP Setup (Claude Code)
Quick Setup
claude mcp add bkend --transport http https://api.bkend.ai/mcp
.mcp.json (per project)
{
"mcpServers": {
"bkend": {
"type": "http",
"url": "https://api.bkend.ai/mcp"
}
}
}
Authentication
- OAuth 2.1 + PKCE (browser auto-auth)
- No API Key/env vars needed
- Access Token: 1 hour, Refresh Token: 30 days
MCP Tools
Fixed Tools (Always Available)
| Tool | Purpose |
|---|---|
get_context |
Session context (org/project/env, API endpoint) - MUST call first |
search_docs |
Search bkend docs (Auth/Storage guides, code examples) |
get_operation_schema |
Get tool input/output schema |
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.
- 6d ago First seen · 288 lines · 98 tokens per session scan C c4f09574b670
bkend-expert is an agent published in the GitHub repository ww-w-ai/bkit-claude-code (595 stars, last pushed 19d ago), licensed Apache-2.0. It adds 98 tokens to every session and 2,523 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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