Pdca BatchSAFE
bkit Vibecoding Kit - PDCA methodology + Claude Code mastery for AI-native development
Overview
bkit Vibecoding Kit - PDCA methodology + Claude Code mastery for AI-native development
f9b6b0c367f8OBSERVED · 2026-10-14What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: pdca-batch
classification: workflow
classification-reason: Batch PDCA management persists regardless of model advancement
deprecation-risk: none
effort: high
description: |
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, batch, multiple features
argument-hint: "[status|plan|manage]"
user-invocable: true
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
- Task
- TaskCreate
- TaskList
- AskUserQuestion
imports: []
next-skill: null
pdca-phase: null
task-template: "[Batch] {action}"
---
# 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 <feature1> <feature2> ...
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
**Batch Plan Output**:
```
--- Batch Plan Results ----------------------------
Batch ID: batch-1710842700000
Features planned: 3
Feature Status Plan Document
auth OK docs/01-plan/features/auth.plan.md
search OK docs/01-plan/features/search.plan.md
api-v2 QUEUED (waiting for slot, 2/3 active)
---------------------------------------------------
Next: Run /pdca design <feature> for each planned feature
```
**Constraints**:
- Maximum 5 features per batch plan command
- Maximum 3 features active simultaneously
- Features beyond the limit are queued with `phase: queued`
- Queued features auto-activate when a slot becomes available
### manage
Interactive dashboard for managing parallel features.
1. Read all active features from `pdca-status.json`
2. Display interactive-style management panel
3. Show available actions per feature
4. Accept user input for next action via AskUserQuestion
**Output Format**:
```
--- Feature Management Dashboard ------------------
Active Features: 2/3
[1] user-auth (check, 85%, iter 2/5)
Actions: [a]nalyze [i]terate [r]eport [p]ause
[2] search-api (design, -, iter 0/5)
Actions: [d]esign-review [n]ext [p]ause
[Q] user-input (queued, waiting for slot)
Actions: [c]ancel [p]rioritize
---------------------------------------------------
Global Actions:
[s] Switch active feature
[n] New feature (if slot available)
[r] Refresh dashboard
[x] Exit dashboard
---------------------------------------------------
Select feature number or action:
```
**Management Actions**:
| Action | Description |
|--------|-------------|
| Switch feature | Change which feature is "focused" for subsequent /pdca commands |
| Prioritize queued | Move a queued feature to next available slot |
| Pause feature | Temporarily halt a feature's PDCA progression |
| Cancel queued | Remove a feature from the queue |
| New feature | Start a new PDCA cycle if slot available |
## Parallel Feature Rules
1. **Maximum 3 concurrent features**: Prevents context overload and resource contention
2. **Independent state**: Each feature has its own phase, matchRate, and iteration count
3. **Shared guardrails**: Automation level and trust score are global (not per-feature)
4. **Queue system**: Features beyond limit are queued and auto-activated on slot availability
5. **Isolation**: Features do NOT share checkpoints or audit entries
## State File Schema
Features in `pdca-status.json` with batch support:
```json
{
"user-auth": {
"phase": "check",
"matchRate": 85,
"iterationCount": 2,
"batchId": "batch-1710842700000",
"queuePosition": null,
"lastUpdated": "2026-03-19T10:30:00.000Z"
},
"search-api": {
"phase": "design",
"matchRate": 0,
"iterationCount": 0,
"batchId": "batch-1710842700000",
"queuePosition": null,
"lastUpdated": "2026-03-19T08:30:00.000Z"
},
"api-v2": {
"phase": "queued",
"batchId": "batch-1710842700000",
"queuePosition": 1,
"lastUpdated": "2026-03-19T10:30:00.000Z"
}
}
```
## Module Dependencies
| Module | FunctioTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
f9b6b0c367f8full audit observations/trust-audit/skill/popup-studio-ai__pdca-batch.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-14 | f9b6b0c367f8 | SAFE | B | 89 | first audit |
Questions
What does the Pdca Batch skill do?
bkit Vibecoding Kit - PDCA methodology + Claude Code mastery for AI-native development
Is Pdca Batch safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Pdca Batch access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (f9b6b0c367f8), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.