pdca-batch

pdca-batch is a skill for Claude Code, Codex from ww-w-ai/bkit-claude-code. It costs 82 tokens per session (1,830 once invoked), scanned A, original, Apache-2.0.

Manage multiple PDCA features as independent parallel cycles (no shared scope/budget). For multiple features that share scope, budget, or timeline as one cohesive initiative, use /sprint (v2.1.13) — sprint groups features into a single 8-phase container, while pdca-batch keeps them independent. Triggers: pdca-batch…

Skill for Claude CodeCodex

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

Made for: Claude Code, Codex.

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 pdca-batch

README.md
[![agentmods](https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/pdca-batch.svg)](https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/pdca-batch)
Your own site
<a href="https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/pdca-batch"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/pdca-batch.svg" alt="Measured on agentmods" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,830 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00082 $0.01830
Opus 5 $0.00041 $0.00915
Sonnet 5 $0.00016 $0.00366
Haiku 4.5 $0.00008 $0.00183

Measured today against content hash 5070f362458d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pdca-batch 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 today.

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/pdca-batch/SKILL.md · 225 lines

How it starts

The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDCA Batch Skill

User-invocable skill for managing multiple PDCA features and batch operations.

Arguments

Argument Description Example
(none) Show all active features (same as status) /pdca-batch
status Show all active features and their PDCA status /pdca-batch status
plan <f1> <f2> ... Plan multiple features in sequence /pdca-batch plan auth search api
manage Interactive dashboard for parallel features /pdca-batch manage

Action Details

status (Default)

Show all active PDCA features and their current status.

  1. Read .bkit/state/pdca-status.json
  2. Filter to active features (exclude archived/completed unless --all flag)
  3. For each feature, display: phase, matchRate, iterationCount, last updated
  4. Show summary: total active, total completed, total archived
  5. Warn if approaching max parallel limit (3)

Output Format:

--- PDCA Feature Dashboard ------------------------
Active Features: 2/3 (max)

  #  Feature            Phase     Match%  Iter  Last Updated
  1  user-auth          check     85%     2/5   10 min ago
  2  search-api         design    -       0/5   2 hours ago
  -  (1 slot available)

Completed (recent):
  3  payment-flow       archived  96%     3/5   2 days ago

---------------------------------------------------
Totals: 2 active | 1 completed | 0 stale
Tip: Use /pdca-batch manage for interactive control

plan ...

Plan multiple features in a batch sequence.

  1. Parse feature names from arguments (space-separated)
  2. Validate: max 5 features per batch plan
  3. Check current active feature count (max 3 concurrent)
  4. For features exceeding the parallel limit, queue them
  5. Display batch plan summary and ask for confirmation via AskUserQuestion
  6. On confirmation, for each feature sequentially: a. Initialize feature in pdca-status.json (state: idle) b. Create Plan document using plan template c. Record batch origin: batchId in feature metadata
  7. Display batch plan results

Read the full file on GitHub · 225 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. today First seen · 225 lines · 82 tokens per session scan A 5070f362458d

Subscribe to this mod's changes

pdca-batch 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 82 tokens to every session and 1,830 once invoked, about $0.0004 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 2026-09-03.

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