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 skills add konglong87/methodology-skills --skill pdca-cyclegit clone --depth 1 https://github.com/konglong87/methodology-skillsWrote 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/konglong87/methodology-skills/pdca-cycle)<a href="https://agentmods.dev/skills/konglong87/methodology-skills/pdca-cycle"><img src="https://agentmods.dev/badge/skills/konglong87/methodology-skills/pdca-cycle/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.
<a href="https://agentmods.dev/skills/konglong87/methodology-skills/pdca-cycle"><img src="https://agentmods.dev/badge/skills/konglong87/methodology-skills/pdca-cycle.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00045 | $0.02415 |
| Opus 5.5 | $0.00018 | $0.00966 |
| Sonnet 5.5 | $0.00009 | $0.00483 |
| Haiku 4.5 | $0.00005 | $0.00242 |
Grade A, and why
pdca-cycle scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 320 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDCA 循环
前置协议
环境检测
PROJECT_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || echo "unknown")
BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
COMMIT=$(git rev-parse --short HEAD 2>/dev/null || echo "unknown")
echo "PROJECT: $PROJECT_ROOT"
echo "BRANCH: $BRANCH"
echo "COMMIT: $COMMIT"
前置技能检查
# 检查前置工件
GOAL_ARTIFACT="memory/artifacts/goal-oriented/latest.json"
MVP_ARTIFACT="memory/artifacts/mvp-first/latest.json"
if [ -f "$GOAL_ARTIFACT" ]; then
echo "FOUND: goal-oriented artifact"
fi
if [ -f "$MVP_ARTIFACT" ]; then
echo "FOUND: mvp-first artifact"
fi
mkdir -p memory/artifacts/pdca-cycle
PDCA 循环
Overview
PDCA 循环(Plan-Do-Check-Act)是一种持续改进的方法论,通过计划、执行、检查、处理四个阶段的循环,不断优化流程和结果。
核心价值:
- 数据驱动决策
- 小步快跑,快速迭代
- 持续改进,螺旋上升
- 降低试错成本
起源: 戴明环(Deming Cycle),由 W. Edwards Deming 推广
When to Use
适用场景:
- 迭代任务,需要持续改进
- 质量保障和流程优化
- 新方案试点验证
- 数据驱动的决策
- 性能优化、成本降低
- 用户满意度提升
不适用场景:
- 一次性、无需改进的任务
- 紧急情况,需要立即行动
The Process
digraph pdca {
rankdir=TB;
Plan [label="Plan\n计划", shape=box, style=filled, fillcolor="#c8e6c9"];
Do [label="Do\n执行", shape=box, style=filled, fillcolor="#bbdefb"];
Check [label="Check\n检查", shape=box, style=filled, fillcolor="#fff9c4"];
Act [label="Act\n处理", shape=box, style=filled, fillcolor="#f8bbd0"];
Plan -> Do [label="制定计划"];
Do -> Check [label="收集数据"];
Check -> Act [label="分析结果"];
Act -> Plan [label="下一轮循环", style=dashed];
}
四阶段详解
Plan(计划)
- 明确目标和指标
- 分析现状与差距
- 制定具体行动计划
- 预估风险和应对方案
Do(执行)
- 小范围试点
- 严格按照计划执行
- 收集执行过程中的数据
- 记录问题和观察
Check(检查)
- 对比预期与实际结果
- 分析偏差原因
- 提取经验教训
- 数据可视化呈现
Act(处理)
- 标准化成功做法
- 改进不足之处
- 规划下一个循环
- 扩大应用范围
Cycle Checklist
使用以下检查清单确保每个阶段完整执行:
Plan 阶段
- 明确目标和衡量指标
- 收集现状数据
- 分析根本原因(可用鱼骨图、5 Whys)
- 制定具体行动计划
- 确定责任人和时间节点
- 预估风险和应对措施
Do 阶段
- 选择小范围试点区域
- 准备所需资源
- 严格按照计划执行
- 收集过程数据(时间、成本、质量)
- 记录遇到的问题和异常
- 保持试点环境可控
Check 阶段
- 对比实际结果与预期目标
- 分析差异原因
- 验证方案有效性
- 提取成功经验和失败教训
- 数据可视化(图表、报告)
- 团队讨论并达成共识
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.
- 1mo ago First seen · 320 lines · 45 tokens per session scan A 69d98669b91b
pdca-cycle is a skill published in the GitHub repository konglong87/methodology-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 2,415 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 2026-08-31.
Other skills, from other repositories
importing-a-codebase
Use when asked to create the initial spec graph for an existing codebase that has source code but no specs. Normally reached via setting-up-a-project.
starting-a-new-project
Use when the workspace is empty, has no code, and the user brings a raw project idea. Normally reached via setting-up-a-project; not for an existing project.
managing-mcp-servers
Use when the user asks to add, change, remove, enable or disable an MCP server, or when an MCP tool is missing, needs sign-in, fails, or was blocked. ThinkRail runs pi in-process, so there is no pi command to call.
todos
Use when the user asks for a shared plan, a task needs at least three substantive execution steps, or a loose TODO is pending. Without an explicit plan request, not for one-shot answers or checks, or one- to two-step work that is not already in the list.
asking-user-questions
Use when composing an askuserquestion round inside a workflow, or when a workflow skill names it at a question step. Shared norms for the tool — not a workflow, nothing to execute.
writing-workflow-skills
Use when adding a new workflow skill to pi-thinkrail-workflow, changing an existing workflow skill's role, trigger, handoff, or structure, or checking a workflow skill against the workflow system's rules. Not for authoring general-purpose skills outside this package.