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.
curl -O https://raw.githubusercontent.com/pangon/ai-sdlc-framework/main/CLAUDE.mdgit clone --depth 1 https://github.com/pangon/ai-sdlc-frameworkWrote 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/instructions/pangon/ai-sdlc-framework/claude-md)<a href="https://agentmods.dev/instructions/pangon/ai-sdlc-framework/claude-md"><img src="https://agentmods.dev/badge/instructions/pangon/ai-sdlc-framework/claude-md/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/instructions/pangon/ai-sdlc-framework/claude-md"><img src="https://agentmods.dev/badge/instructions/pangon/ai-sdlc-framework/claude-md.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 | $0.03473 | $0.03473 |
| Opus 5.5 | $0.01389 | $0.01389 |
| Sonnet 5.5 | $0.00695 | $0.00695 |
| Haiku 4.5 | $0.00347 | $0.00347 |
Grade A, and why
ai-sdlc-framework CLAUDE.md 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.
How it starts
The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Language Policy
All AI outputs must be in English, regardless of the language used in user prompts. This applies to code, comments, documentation, configuration files, commit messages, and response text.
Memory Policy
Do not use Claude memory files to store project information. All project knowledge — domain context, team structure, constraints, decisions, and any other relevant information — must be captured exclusively through the SDLC artifact system (stakeholders, constraints, assumptions, goals, requirements, decisions, etc.). This ensures all knowledge is structured, traceable, and available to every team member working on the project.
Project Overview
This repository uses a structured, AI-first development lifecycle. All project knowledge — specification, design, decisions, tasks — lives alongside the source code.
Current State
Phase: Not initialized
Summary: Pristine framework, not yet initialized. The repository contains the AI SDLC Framework (phase directories, templates, automation skills), ready to be populated starting from the Specification phase after initialization (/SDLC-init).
Current State Protocol
The ### Current State subsection above is the machine-readable project status shared by all skills. Its structure:
**Phase**:— mandatory first line. One of:Not initialized,Specification,Design,Code. Every skill validates its applicability against this field before acting.**Summary**:— mandatory. One or two sentences of free text describing where the project stands.- Standardized status lines — each optional, appearing at most once, added when its activity first occurs, then updated in place; never removed:
| Line | Format | Primary maintainer |
|---|---|---|
**Spec artifacts**: |
artifact types worked on so far | SDLC-elicit |
**Gap analysis**: |
active or passed form — see Assessment lines below | SDLC-elicit |
**Design documents**: |
drafting status per document | SDLC-design |
**Completeness assessment**: |
active or passed form — see Assessment lines below | SDLC-design |
**Components**: |
comma-separated component names | SDLC-decompose |
**Implementation plan**: |
created YYYY-MM-DD — N phases, M tasks |
SDLC-implementation-plan |
**Task progress**: |
D/M tasks done — currently in Phase N (name) |
SDLC-execute-task |
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 · 187 lines · 3,473 tokens per session scan A f40ab39d7ef6
ai-sdlc-framework CLAUDE.md is an instructions file published in the GitHub repository pangon/ai-sdlc-framework (130 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 3,473 tokens to every session, about $0.0139 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.
ai-sdlc-framework CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-sdlc-framework CLAUDE.mdpangon/ai-sdlc-framework | Instructions file | 130 | 2mo ago | Apache-2.0 | A | 3,473 | Claude Code |
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