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/pdcanpx skills add ww-w-ai/bkit-claude-code --skill pdcagit 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/pdca)<a href="https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/pdca"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/pdca.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 | $0.00098 | $0.08891 |
| Opus 5 | $0.00049 | $0.04445 |
| Sonnet 5 | $0.00020 | $0.01778 |
| Haiku 4.5 | $0.00010 | $0.00889 |
Grade A, and why
pdca scanned grade A 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Execute each curl command from gap-detector's L1 plan How it starts
The opening of the file, as written. The whole thing — 716 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDCA Skill
Unified Skill for managing PDCA cycle. Supports the entire Plan → Design → Do → Check → Act flow.
Arguments
| Argument | Description | Example |
|---|---|---|
pm [feature] |
Run PM Agent Team analysis (pre-Plan) | /pdca pm user-auth |
plan [feature] |
Create Plan document | /pdca plan user-auth |
design [feature] |
Create Design document | /pdca design user-auth |
do [feature] |
Do phase guide (start implementation) | /pdca do user-auth |
analyze [feature] |
Run Gap analysis (Check phase) | /pdca analyze user-auth |
iterate [feature] |
Auto improvement iteration (Act phase) | /pdca iterate user-auth |
qa [feature] |
Run QA phase (L1-L5 tests) | /pdca qa user-auth |
report [feature] |
Generate completion report | /pdca report user-auth |
archive [feature] |
Archive completed PDCA documents | /pdca archive user-auth |
cleanup [feature] |
Cleanup archived features from status | /pdca cleanup |
team [feature] |
Start PDCA Team Mode (requires Agent Teams) | /pdca team user-auth |
team status |
Show Team status | /pdca team status |
team cleanup |
Cleanup Team resources | /pdca team cleanup |
status |
Show current PDCA status | /pdca status |
next |
Guide to next phase | /pdca next |
Action Details
pm (PM Analysis Phase)
Run PM Agent Team for product discovery and strategy analysis before Plan phase.
- Call pm-lead Agent (orchestrates 4 sub-agents)
- pm-lead runs Phase 1: Context Collection (project info, git history)
- pm-lead runs Phase 2: Parallel Analysis (3 agents simultaneously)
- pm-discovery: Opportunity Solution Tree (Teresa Torres)
- pm-strategy: Value Proposition (JTBD 6-Part) + Lean Canvas
- pm-research: 3 Personas + 5 Competitors + TAM/SAM/SOM
- pm-lead runs Phase 3: PRD Synthesis via pm-prd agent
- Beachhead Segment (Geoffrey Moore) + GTM Strategy
- 8-section PRD generation
- Output PRD to
docs/00-pm/{feature}.prd.md - Create Task:
[PM] {feature} - Update
.bkit/state/pdca-status.json: phase = "pm" - Guide user to next step:
/pdca plan {feature}
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.
- yesterday First seen · 716 lines · 98 tokens per session scan A 1d765c29a87f
pdca 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 98 tokens to every session and 8,891 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
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.
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…
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 /…
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。.
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…
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.