pdca-watch

pdca-watch is a skill for Claude Code from ww-w-ai/bkit-claude-code. It costs 48 tokens per session (991 once invoked), scanned A, original, Apache-2.0.

A read-only live dashboard for tracking an active PDCA feature, a Plan-Do-Check-Act work cycle, on a repeating timer.

In plain words
What is it for?
It helps monitor a selected or automatically detected feature using status files and recent usage records.
Why use it?
It makes current phase, progress, iterations, token use, and estimated cost visible without changing project state.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Part of the bkit plugin — 44 skills, 2 commands, 34 agents, 21 hooks shipped together

Good fit It helps monitor a selected or automatically detected feature using status files and recent usage records.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ww-w-ai/bkit-claude-code/pdca-watch
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.

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

Made for: Claude Code.

Or install bkit, the plugin that ships this one along with the rest of its 44 skills, 2 commands, 34 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 pdca-watch

README.md
[![agentmods](https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/pdca-watch.svg)](https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/pdca-watch)
Your own site
<a href="https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/pdca-watch"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/pdca-watch.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 991 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
  • medium Excessive Agency · line 113
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 5.1 $0.00048 $0.00991
Opus 5 $0.00024 $0.00495
Sonnet 5 $0.00010 $0.00198
Haiku 4.5 $0.00005 $0.00099

Measured 4d ago against content hash d15384888653, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

pdca-watch 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 4d 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/pdca-watch/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDCA Watch — Live Tick Dashboard

v2.1.11 Sprint β FR-β4. Wraps lib/dashboard/watch.js over CC's /loop (v2.1.71+). Read-only — only consumes state files; never writes. Falls back to a single render when /loop is unsupported (E-β4-01).

Arguments

Argument Description Example
(none) Auto-resolve active feature from pdca-status.primaryFeature /pdca-watch
<feature> Watch a specific feature by name /pdca-watch bkit-v2111-integrated-enhancement

Behavior

Resolution

  1. If <feature> is provided, use it verbatim.
  2. Else read .bkit/state/pdca-status.jsonprimaryFeature, then activeFeatures[0] as fallback.
  3. If still no feature → render "No active PDCA feature. Start one with /pdca pm <feature>" and exit.

Tick (every 30s via /loop)

For each tick, lib/dashboard/watch.js#renderTick produces a panel with:

Watch  <feature> — tick N (HH:MM:SS)
─────────────────────────────────────────────────────────────
Phase: <phase>     Match: <%>    Iter: <n / 5>
Tokens: <in> in / <out> out · samples <N>
Est cost: $<USD>
─────────────────────────────────────────────────────────────

Data sources:

  • Phase / matchRate / iterationCount: pdca-status.features[<feature>]
  • Token totals: last 50 lines of token-ledger.ndjson
  • Cost: Sonnet-class flat estimate ($3/Mtok in, $15/Mtok out)

Termination

  • Ctrl-C from user
  • Feature phase === 'completed' or phase === 'archived'
  • After max 60 ticks (≈30 min) — caller restarts if more time needed

CC /loop Support

CC Version Behavior
≥ 2.1.71 Native /loop 30s ticker
< 2.1.71 E-β4-01: single render + warning, no loop
Unknown Same as < 2.1.71 (fail-safe)

The check is performed via watch.checkLoopSupport({ ccVersion }) — caller passes the resolved CC version from lib/infra/cc-version-checker.

Security

  • Pure read on .bkit/state/pdca-status.json and .bkit/runtime/token-ledger.ndjson.
  • Tail bounded to MAX_TAIL_LINES = 200 regardless of caller input — defends against pathological NDJSON growth.
  • No subprocess spawning, no network.
  • PII redaction on the ledger is owned by the writer (Token Accountant); watch only reads what's already redacted.

Read the full file on GitHub · 116 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. 4d ago First seen · 116 lines · 48 tokens per session scan A d15384888653

Subscribe to this mod's changes

pdca-watch is a skill published in the GitHub repository ww-w-ai/bkit-claude-code (595 stars, last pushed yesterday), licensed Apache-2.0. It adds 48 tokens to every session and 991 once invoked, about $0.0002 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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