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ai-sdlc-framework: Skill for Claude Code

.claude/skills/SDLC-init/SKILL.md

SDLC-init is a skill for Claude Code from pangon/ai-sdlc-framework. It costs 50 tokens per session (431 once invoked), scanned A, original, Apache-2.0.

A project-startup guide for the AI SDLC Framework, a structured process for developing software with defined specification, design, and coding phases.

In plain words
What is it for?
Use it to describe a new or existing project in CLAUDE.md and set its initial development phase and status.
Why use it?
It gives an AI coding agent enough project context to work from the beginning instead of relying on an empty or vague project description.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md.

This is pangon/ai-sdlc-framework's own configuration. It tells Claude Code how to work on ai-sdlc-framework itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-sdlc-framework configures →

not rated 130repo 2mo ago A scan SkillSpector: pass 50 tokens original Apache-2.0
View source ↗ pangon/ai-sdlc-framework
Reuse

Borrowing it

Nothing to install: this file belongs to pangon/ai-sdlc-framework. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/pangon/ai-sdlc-framework/main/.claude/skills/SDLC-init/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/pangon/ai-sdlc-framework

Made for: Claude Code.

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-init

README.md
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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.

agentmods 80×15 button for SDLC-init

Your own site · 80×15
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Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 431 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 pass 7 Sept 2026
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 $0.00050 $0.00431
Opus 5.5 $0.00020 $0.00172
Sonnet 5.5 $0.00010 $0.00086
Haiku 4.5 $0.00005 $0.00043

Measured 2mo ago against content hash 8eec6e031e96, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

SDLC-init 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.

.claude/skills/SDLC-init/SKILL.md · 25 lines

What it actually says

Instructions

You are guiding the user through the initial setup of a new project based on the AI SDLC Framework, interactively configuring the project description and metadata.

Workflow

  1. Read the current ## Project Overview section in CLAUDE.md. If it already contains a real description (not just placeholder text), show it to the user and ask whether they want to replace or refine it.
  2. Ask the user to describe their project: what it does and what problem it solves. As an alternative, offer to auto-generate a summary from the repository name. Do not ask for technology stack or architectural details — those belong in later phases.
  3. Write a concise project description optimized for AI agent consumption. Replace the entire ## Project Overview section content (everything between the ## Project Overview heading and the ### Current State subheading), not just the placeholder comment.
  4. Update ### Current State following the Current State Protocol in CLAUDE.md:
    • If **Phase**: is Not initialized, rewrite the section to **Phase**: Specification plus a **Summary**: noting that the project has been initialized and Specification elicitation has not started yet.
    • If the project had already advanced past initialization (re-configuration of an existing project), keep the existing **Phase**: and status lines — update only the **Summary**: if the new description makes it inaccurate.
  5. Confirm — show the user the final text that was written.

Rules

  • If the user wants to skip, leave the section unchanged.
  • Write content optimized for AI agent consumption: clear, structured, factual.
  • Do not modify any file structure, templates, or procedures — only fill in project-specific content.
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. 2mo ago First seen · 25 lines · 50 tokens per session scan A 8eec6e031e96

Subscribe to this mod's changes

SDLC-init is a skill published in the GitHub repository pangon/ai-sdlc-framework (130 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 431 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 2026-08-30.

Planning
Related

SDLC-init compared with skills from other repositories

SDLC-init next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
SDLC-initpangon/ai-sdlc-frameworkSkill1302mo agoApache-2.0A50Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code