What is pdca-fast-track?

A fast-track approval workflow for PDCA, a Plan-Do-Check-Act project cycle, that can recommend approval for checkpoints when trust and design-document requirements are met.

It helps move a named feature through PDCA checkpoints 1–8 and explains which requirement is blocking automatic approval.

It reduces repeated manual approval prompts for users who have already met the configured conditions, while returning to manual review when they have not.

pdca-fast-track — Skill for Claude Code by ww-w-ai/bkit-claude-code

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-fast-track

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/pdca-fast-track/github.svg)](https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/pdca-fast-track)

Your own site

<a href="https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/pdca-fast-track"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/pdca-fast-track/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/pdca-fast-track"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/pdca-fast-track.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,071 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 8
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.

Model	Per session	Once invoked
Fable 5.1	$0.00053	$0.01071
Opus 5.5	$0.00021	$0.00428
Sonnet 5.5	$0.00011	$0.00214
Haiku 4.5	$0.00005	$0.00107

Measured 2mo ago against content hash d7a25f97f9ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pdca-fast-track 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 2mo 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-fast-track/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDCA Fast Track — Daniel's Track

v2.1.11 Sprint β FR-β5. Wraps lib/control/fast-track.js. Provides a single auto-escalation gate for users who have already earned Trust ≥ 80 and produced a Design doc — Checkpoints 1-8 default to Recommended without prompting. Falls back to L2 + manual review the moment any preconditions fails (E-β5-01 / E-β5-02).

Arguments

Argument	Description	Example
`<feature>`	Feature name to engage fast-track for	`/pdca-fast-track bkit-v2111-integrated-enhancement`

Behavior

Preconditions (all must pass; fail-open)

Config enabled — bkit.config.json#control.fastTrack.enabled === true
Trust Score ≥ 80 — .bkit/state/trust-profile.json#trustScore ≥ fastTrack.minTrustScore (default 80)
Design doc exists — resolved via bkit.config.json#pdca.docPaths.design templates against <feature>

When any block, surface the reason with a remedy hint:

Block	Remedy hint
`disabled_in_config`	"Set `control.fastTrack.enabled = true` in bkit.config.json"
`trust_score_too_low`	"Run a few `/pdca check` cycles to raise trust"
`design_doc_missing`	"Run `/pdca design <feature>` first"

On engage (all preconditions pass)

Recommend Automation Level escalation L2 → fastTrack.autoLevel (default L3).

Persist engagement record to .bkit/runtime/fast-track-log.json:

{
  "engaged": true,
  "feature": "<feature>",
  "engagedAt": "<ISO>",
  "trustScore": 85,
  "autoLevel": "L3",
  "fallbackLevel": "L2",
  "skipCheckpoints": [1,2,3,4,5,6,7,8],
  "designPath": "docs/02-design/features/<feature>.design.md",
  "decisions": []
}

Each Checkpoint 1-8 invocation calls fast-track.recordCheckpoint to append a decision entry (audit trail).
If a Checkpoint surfaces NO "Recommended" option, call recordCheckpoint({ decision: 'fallback', reason: 'no_recommended' }) and pause to fallbackLevel.

Read the full file on GitHub · 118 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.

2mo ago First seen · 118 lines · 53 tokens per session scan A d7a25f97f9ba

Subscribe to this mod's changes

pdca-fast-track is a skill published in the GitHub repository ww-w-ai/bkit-claude-code (605 stars, last pushed 7d ago), licensed Apache-2.0. It adds 53 tokens to every session and 1,071 once invoked, about $0.0002 per session on Opus 5.5. 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.

Claude Code Planning Productivity ai-agents ai-native-development multi-language pdca pipeline

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