bkit

bkit is a skill for Claude Code, Codex from ww-w-ai/bkit-claude-code. It costs 97 tokens per session (1,379 once invoked), scanned A, original, Apache-2.0.

A broad bkit development toolkit with skills, agents, external tool connections, and output formats. It organizes software work into stages from defining data and coding rules through APIs, interface integration, search visibility, and security.

In plain words
What is it for?
Use it to plan and design features, create prototypes, build APIs, connect interfaces, improve search visibility, and apply security checks.
Why use it?
It brings related development tasks and workflows into one system, so developers can follow a structured process for building software.

Skill for Claude CodeCodex

Part of the bkit plugin — 44 skills, 2 commands, 36 agents, 21 hooks shipped together

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 skills/ww-w-ai/bkit-claude-code/bkit
Any agent
npx skills add ww-w-ai/bkit-claude-code --skill bkit
Clone the repo
git clone --depth 1 https://github.com/ww-w-ai/bkit-claude-code

Made for: Claude Code, Codex.

Or install bkit, the plugin that ships this one along with the rest of its 44 skills, 2 commands, 36 agents, 21 hooks.

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 bkit

README.md
[![agentmods](https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/bkit.svg)](https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/bkit)
Your own site
<a href="https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/bkit"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/bkit.svg" alt="Measured on agentmods" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,379 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 $0.00097 $0.01379
Opus 5 $0.00048 $0.00690
Sonnet 5 $0.00019 $0.00276
Haiku 4.5 $0.00010 $0.00138

Measured 5d ago against content hash 0d956a3ff49e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

bkit 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 5d 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.

skills/bkit/SKILL.md · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

bkit — AI Native Development OS

Version: 2.1.5 | 38 Skills | 36 Agents | 2 MCP Servers | 4 Output Styles

Quick Start

Type /bkit or bkit help to see this guide.


Available Skills by Category

PDCA Lifecycle (Core)

Skill Description
/pdca [action] [feature] Unified PDCA cycle — plan, design, do, analyze, iterate, report
/pdca-batch Manage multiple PDCA features and batch operations
/plan-plus [feature] Brainstorming-enhanced planning with intent discovery and YAGNI review
/rollback PDCA checkpoints — create, list, restore for safe recovery

Development Pipeline (9 Phases)

Phase Skill Description
1 /phase-1-schema Define terminology, data structures, entities
2 /phase-2-convention Coding rules, conventions, standards
3 /phase-3-mockup UI/UX mockups and HTML/CSS/JS prototypes
4 /phase-4-api Backend API design and implementation
5 /phase-5-design-system Platform-independent design systems
6 /phase-6-ui-integration Frontend UI and backend API integration
7 /phase-7-seo-security SEO and security hardening
8 /phase-8-review Architecture consistency and quality verification
9 /phase-9-deployment CI/CD pipelines, deployment strategies
/development-pipeline Complete pipeline guide (all 9 phases)

Quality & Review

Skill Description
/code-review Code quality analysis, bug detection, best practices
/qa-phase QA test planning, generation, execution (L1-L5)
/zero-script-qa Test without scripts using JSON logging + Docker
/audit Audit logs, decision traces, session history

Project Initialization

Skill Description
/starter Static web (HTML/CSS/JS, Next.js App Router) — beginners
/dynamic Fullstack with bkend.ai BaaS — auth, DB, API
/enterprise Microservices, K8s, Terraform, AI Native methodology

Read the full file on GitHub · 149 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. 5d ago First seen · 149 lines · 97 tokens per session scan A 0d956a3ff49e

Subscribe to this mod's changes

bkit is a skill published in the GitHub repository ww-w-ai/bkit-claude-code (595 stars, last pushed 18d ago), licensed Apache-2.0. It adds 97 tokens to every session and 1,379 once invoked, about $0.0005 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.

Related

Other skills, from other repositories

ai-native-sdlc

Run the AI-native SDLC loop — Plan, Design, Build, Test, Deploy, Maintain — with versioned artifacts and human approval gates at every handoff. Use when the user states a goal, idea, feature, or change request and expects the agent to scaffold and drive the project through the full lifecycle instead of jumping…

bashebr/ai-native-sdlc · 75 tokens

deep-research

Professional deep research report generation — multi-agent collaboration with parallel chapter writing, automatic latest-data targeting, multilingual output, and built-in quality checks.

hoolulu/deep-research · 32 tokens

code-auditor

Independent pre-merge review of a git diff, PR, or named files. Use when the user asks to review a PR, inspect current git changes, or hunt functional regressions, missed scenarios, wrong assumptions, concurrency bugs, and test gaps as an independent reviewer who does not defend the author's approach /…

bahayonghang/my-ai-cli-toolkit · 176 tokens

三月七 Agent 角色扮演

让AI Agent以《崩坏:星穹铁道》看板娘「三月七」的语气、思维方式和人设完成所有任务—— 回答、思考、编写文档、写代码、分析数据等。三月七自称"本姑娘",称呼对话发起者为"开拓者"。 支持中文、英文、日文、韩文四种语言。 当用户明确要求"用三月七的风格"、"像三月七一样"、"按三月七人设"等指令时触发; 也可由用户通过 /march7 命令手动调用。.

denceee/march-7th-skill · 156 tokens

sast-horusec

Multi-language static application security testing using Horusec with support for 18+ programming languages and 20+ security analysis tools. Performs SAST scans, secret detection in git history, and provides vulnerability findings with severity classification. Use when: (1) Analyzing code for security vulnerabilities…

AgentSecOps/SecOpsAgentKit · 121 tokens

notebooklm-slides

This skill should be used when generating pedagogically-aligned slide decks from educational content using NotebookLM. It addresses the convergence toward generic, text-heavy slides by providing structured prompts that create engaging, proficiency-appropriate presentations aligned with specific educational frameworks.

mjunaidca/robolearn · 54 tokens