Devforge-ai: Instructions file for Claude Code

CLAUDE.md

Devforge-ai CLAUDE.md is an instructions file for Claude Code from saitarrun/Devforge-ai. It costs 1,274 tokens per session, scanned B, original, Apache-2.0.

Project instructions for Devforge-ai, a Claude Code plugin that coordinates software work through specialized agents and staged steps such as planning, building, testing, and release.

In plain words
What is it for?
Use it when developing, validating, installing, or operating the Devforge-ai plugin and its agent, skill, command, and script components.
Why use it?
It gives the coding agent the repository layout, available commands, workflow rules, and project conventions it needs to work consistently.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: reads .claude/ paths; mentions Claude Code.

This is saitarrun/Devforge-ai's own configuration. It tells Claude Code how to work on Devforge-ai 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 Devforge-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to saitarrun/Devforge-ai. 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/saitarrun/Devforge-ai/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/saitarrun/Devforge-ai

Made for: Claude Code.

Wrote this? Show the measurements

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Per session 1,274 This file is loaded in full into every session.
When invoked 1,274 The same file — it is already loaded in full.
Security scan B 1 finding. 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 $0.01274 $0.01274
Opus 5.5 $0.00510 $0.00510
Sonnet 5.5 $0.00255 $0.00255
Haiku 4.5 $0.00127 $0.00127

Measured 1mo ago against content hash c34ffca2344b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

Devforge-ai CLAUDE.md scanned grade B with 1 finding 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

- **Permission prompts**: Add patterns to `~/.claude/settings.local.json` under `permissions.allow`
CLAUDE.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SDLC Workflow Plugin

A multi-agent SDLC orchestration system: 10 agents × 5 phases → plan, build, verify, ship, operate. Tracer bullet development with Ralph Loop self-correction and Linear issue integration.

Project

  • Type: Claude Code plugin
  • Version: 2.0.0
  • Repo: github.com/saitarrun/devforge-ai

Repository Map

  • agents/ — 10 role-specific agents (product-manager, ux-designer, fullstack-engineer, qa-engineer, security-engineer, performance-engineer, devops-engineer, sre-engineer, data-engineer, technical-writer)
  • skills/ — 34 knowledge skills (architecture, testing, code-review, ralph-loop, grill-me, etc.)
  • commands/ — 10 orchestrator commands (/sdlc, /sdlc-plan, /sdlc-build, /sdlc-verify, /sdlc-ship, /sdlc-operate, /sdlc-review, /sdlc-implement, /to-prd, /to-issues)
  • scripts/ — CLI, install, uninstall, validation helpers
  • README.md — User documentation and feature overview

Commands

  • Install: npm run install-local or make install-local
  • Validate: make validate
  • Uninstall: make uninstall

Agent Conventions

Frontmatter required: name, description, tools (comma-separated), model (haiku/sonnet/opus)

Model tiers: Haiku (templated), Sonnet (development), Opus (architecture/security decisions)

Tools: Include only what the agent uses — Read, Write, Edit, Bash, Glob, Grep, WebFetch

  • Note: When querying codebase, prefer code-review-graph (bundled integration) over grep for structural analysis. See "Codebase Querying Strategy" below.

Embed book principles (QUANTS/INVEST/Testing Pyramid, Architecture: ADR/fitness functions, Pragmatic Programmer DRY/ETC, Clean Code naming/SOLID) in agent bodies.

Skill Conventions

Structure: skills/skill-name/SKILL.md (no tools, no model — pure knowledge)

Frontmatter: name, description, version

Content: Methodology, checklists, reference patterns. Load on-demand, not always-on.

Agent-Skill Auto-Wiring

All 10 agents are auto-wired to phase-specific skills. When an agent is invoked:

  1. Agent frontmatter declares skills: [skill-a, skill-b, ...]
  2. Command loads all phase skills into agent context (pure methodology, not tools)
  3. Agent system prompt says: "You have access to these skills: X, Y, Z. Apply them."
  4. Agent applies skill principles → polished industry-standard outputs

Read the full file on GitHub · 121 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. 1mo ago First seen · 121 lines · 1,274 tokens per session scan B c34ffca2344b

Subscribe to this mod's changes

Devforge-ai CLAUDE.md is an instructions file published in the GitHub repository saitarrun/Devforge-ai (4 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 1,274 tokens to every session, about $0.0051 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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