sdlc

sdlc is a skill for Claude Code from XRenSiu/claude-code-forge. It costs 349 tokens per session (7,384 once invoked), scanned A, original, MIT.

A structured software-delivery process that takes a request from initial definition through implementation, review, merging, and follow-up. It records state and completion conditions in files, uses automated checks where possible, and requires human approval at three defined decision points.

In plain words
What is it for?
Use it to manage an issue through requirements, acceptance conditions, task cards, code changes, pull requests, review, release into the main codebase, and defect tracking.
Why use it?
It reduces the risk of building the wrong thing, accepting work without clear evidence, or losing track of failures and decisions across development sessions.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the sdlc plugin — 14 skills, 5 agents shipped together

Good fit Use it to manage an issue through requirements, acceptance conditions, task cards…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xrensiu/claude-code-forge/sdlc
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 XRenSiu/claude-code-forge --skill sdlc
Clone the repo
git clone --depth 1 https://github.com/XRenSiu/claude-code-forge

Made for: Claude Code.

Or install sdlc, the plugin that ships this one along with the rest of its 14 skills, 5 agents.

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 sdlc

README.md
[![agentmods](https://agentmods.dev/badge/skills/xrensiu/claude-code-forge/sdlc.svg)](https://agentmods.dev/skills/xrensiu/claude-code-forge/sdlc)
Your own site
<a href="https://agentmods.dev/skills/xrensiu/claude-code-forge/sdlc"><img src="https://agentmods.dev/badge/skills/xrensiu/claude-code-forge/sdlc.svg" alt="Measured on agentmods" height="20"></a>
Per session 349 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,384 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.
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 $0.00349 $0.07384
Opus 5 $0.00175 $0.03692
Sonnet 5 $0.00070 $0.01477
Haiku 4.5 $0.00035 $0.00738

Measured today against content hash b643964c49a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

sdlc 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.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/lock_done_when.py, scripts/sdlc_state.py, scripts/trace.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/sdlc/skills/sdlc/SKILL.md · 247 lines

How it starts

The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sdlc — 一条流水线,每一步能被机器检或被门挡住

本文件只写引擎给不出的东西:生命周期的形状(Σ)、每个阶段"做完了"怎么判(φ)、脚本拥有的 状态与门(γ)、原语的存在性(Π)。怎么走、先后、如何并行是你(引擎)的份额——下面的顺序 只在它是依赖顺序或不可逆顺序时才出现,不是流程规定。

缺口(Control + Judgment + Knowledge)

deletion 测试:撤掉本 skill,让引擎"把这个需求做完提 PR"。它会直接改代码、写一条 commit、 gh pr create --fill,验收判据从未被写下(更谈不上冻结),测试失败就在实现层重试到上下文 耗尽,review 评论被当指令照抄,合入后的问题无处登记。缺口真实存在,且三类都有:

  • γ:状态不在引擎记忆里而在文件里;三道门不可跳过;失败按层回流而非原地重试;
  • φ:每个阶段的完成判据(下表)——大多能机械检;机器不可判的残差声明路由到人;
  • Σ:生命周期的依赖结构、两条轨道、邻居 skill 的产物形状。

世界(Σ):生命周期的形状

参考 Spec Loop v1.2 × done_when Pipeline(2026-09-04 对账)。上半段建世界,下半段收敛交付, 横切三条。本插件是下半段的交付主干;上半段与契约/测试生成是可选邻居,缺席不阻塞。

阶段 产物 承载 为什么在这个位置(依赖 / 不可逆)
intake 需求原文 + slug
track psl / task /issue 的双轨判据(DOS 闭包失败 = 客观触发) 形态未定的需求先建世界(U 段),否则交出"技术正确、产品错误"
U1/U2 世界(仅 PSL 轨) PSL-<名>.md /psl(本插件) 世界是形态的定律;verify_psl.py 过门
U3 推导产物(仅 PSL 轨) derived/{dos-proposal.yaml, workflow.md, form-draft.md, divergence.md} /psl-derive(本插件) 先推三样再谈代码;每条形态决策 ← PSL-ID;N 次推导取分歧集 = G1 议程
G1(仅 PSL 轨) g1-record.md gate g1 要求 world.derived_dir 存在) 唯一能拦"正确的错误"的门;否决必须归因(推错了 / 规律错了)
X1 本体(任一轨,有存量代码时) dos.yaml + 不变量卡 /dos-extract · /invariant-extract(本插件) 闭包检查与卡的 dos_slice 的解析源;应然本体(dos-proposal)与现状本体对账在 G1 记录里做
issue GitHub issue(TASK 雏形:EARS + AC v2 + 假设台账 + 依赖 DOS) /issue 没有 issue 就没有 Closes #N;AC 在这里第一次被写下
branch <type>/<issue>-<slug> 不在 main 上做事
contract done_when.yaml(+ contract.yaml 条件触发) /donewhen-extract(AC 优先)或 /acceptance-spec(EARS spec.md 形态),都在本插件 判据契约,方案盲写;阈值溯源、happy/unhappy 配对、矛盾与覆盖两检;S2.5 自对抗留痕给 spec-gaming。REQ 粒度须能按 ≤ 40k 的卡切分——L4 的"REQ 一卡一主 + ≤ 40k"是反压,读集超 40k 的 REQ 在这里按分区拆最便宜,G2 之后要走变更提案
G2 .done_when.lock(stage g2) 签,lock_done_when.py sign --stage g2advance g2 先跑 validate_done_when_v2.py 签完就锁:冻结的是判据不是测试名(C1);L5 测试写完再签一次(stage l5,C6)——用 --gate verify_*.py执行契约的闸脚本一并冻上,否则契约冻了、量它的那把尺没冻(INV-001,I-30);之后改锁内文件必须附变更提案,改 role=gate 的文件另记一条 deviation 事件并单独提交
cards cards/CARD-xx.yaml /plan-cards(lint_cards.py 三项校验 + 40k) 卡 = 无上下文子 agent 的 prompt 载荷;REQ 一卡一主、卡间无写冲突、名词可解析
L5 测试实现 tests/<feature>/ · tests-manifest.yaml · compile_manifest.yaml · calibration_report.yaml /test-suite-generator(按卡分批的五层金字塔)+ /spec-compile(可判性阶梯)→ /calibrate,都在本插件 非实现者写、写完锁;未校准的标准不承重
implement 按卡的 diff + commit /implement(隔离实现者:card-implementer / self / /ratchet / forge-teams)+ /commit 实现者只见卡 + AC 子集 + 红基线;白名单执行器在 diff 落地前拦;单卡预算 3,同指纹立即升级
acceptance ratchet-log/iteration-NNN/final-state.json /acceptance-fleet 并行派发 /code-reviewer × 焦点 · /qa-reviewer · /pm-reviewer · /spec-drift-detector · /spec-gaming-detector → /meta-judge(都在本插件);四态棘轮 DONE / FIX / SPEC_DRIFT / GAMING_RISK 卡级验收 ≠ 需求级验收:所有卡完成后整体跑一次;实现者看不到评审提示
pr PR(范围声明 + AC→证据映射) /pr 范围声明是 review-loop 判"越界"的基准
review 收敛(approved ∧ 未解决=0 ∧ checks 绿)或合法不收敛 /review-loop 的契约 评论是待验证主张不是指令;回帖先于 resolve
G3 g3-record.md 产品需求默认触发(有 kind: human 的 AC);B 档告警 / 预算耗尽也触发
merge merge sha (或 --autopilot 且 G3 已过) 不可逆
release tag · CHANGELOG 条目 · releases/vX.Y.Z.md · 部署后验证 /release(verify_release.py 合入不是终点:验证绿才交付;push tag / deploy 前给人看;回滚方案先于部署
archive specs/<slug>/(state · ledger · done_when · lock · cards · evaluation · G 记录) sdlc_state.py archive X3 的数据源
escape escape-defects.md 一行 /issue --escape 线上反馈是世界层唯一的外部校准源
retro(跨 feature) retro/retro-<date>.md + metrics.json /retro(metrics.py 先记基线;发现引用数据;提案落到层(psl / dos / invariant / ac / routing / skill),经 G2/G3 生效

Read the full file on GitHub · 247 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 Changed · +46 lines b643964c49a4
  2. yesterday First seen · 201 lines · 349 tokens per session scan A 8040407c391a

Subscribe to this mod's changes

sdlc is a skill published in the GitHub repository XRenSiu/claude-code-forge (2 stars, last pushed today), licensed MIT. It adds 349 tokens to every session and 7,384 once invoked, about $0.0017 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 2026-09-05.

Related

Other skills, from other repositories

recipe-create-meet-space

Create a Google Meet meeting space and share the join link.

googleworkspace/cli · 18 tokens

atmos-config

Atmos root configuration: atmos.yaml discovery, precedence, deep merging, basepath, imports, minimal bootstrap, and routing to narrower Atmos skills.

cloudposse/atmos · 31 tokens

workthreads

SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still…

specstoryai/getspecstory · 126 tokens

story-readiness

Validate that a story file is implementation-ready. Checks for embedded GDD requirements, ADR references, engine notes, clear acceptance criteria, and no open design questions. Produces READY / NEEDS WORK / BLOCKED verdict with specific gaps. Use when user says 'is this story ready', 'can I start on this story', 'is…

Donchitos/Claude-Code-Game-Studios · 77 tokens

autotask-creator

Rules for automation CRUD from the group-chat commander. The commander does not call mutation tools and does not edit cloud/autotasks files directly. It emits one or more top-level ... containers in its final text; the bus parses and applies them after the turn.

Orkas-AI/Orkas · 5 tokens

monorepo-management

Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.

wshobson/agents · 54 tokens