Borrowing it
Nothing to install: this file belongs to TresorAlad/Software-Factory-MCP. 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/TresorAlad/Software-Factory-MCP/main/AGENTS.mdgit clone --depth 1 https://github.com/TresorAlad/Software-Factory-MCPWrote 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/tresoralad/software-factory-mcp/agents-md)<a href="https://agentmods.dev/instructions/tresoralad/software-factory-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/tresoralad/software-factory-mcp/agents-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/tresoralad/software-factory-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/tresoralad/software-factory-mcp/agents-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 | $0.00521 | $0.00521 |
| Opus 5 | $0.00260 | $0.00260 |
| Sonnet 5 | $0.00104 | $0.00104 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
Software-Factory-MCP AGENTS.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 9d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents - Agentic Software Factory MCP
After connecting the MCP server in Cursor, use the MCP prompts listed below (prompts menu / slash, depending on your Cursor version).
In product docs, @software_architect means: run the MCP prompt software_architect with your task. Cursor @ usually does not list MCP agents.
Available agents
| MCP prompt | Role |
|---|---|
product_manager |
Specs, user stories, prioritization |
software_architect |
Architecture, boundaries, scalability |
backend_engineer |
APIs, services, server logic |
frontend_engineer |
UI, components, UX |
database_architect |
Schemas, migrations (from repo code) |
ai_engineer |
LLM integrations, RAG, pipelines |
security_engineer |
Threats, hardening |
qa_engineer |
Test strategy, edge cases |
devops_engineer |
CI/CD, deployment, observability |
code_reviewer |
Quality and security review |
Recommended flow
product_manager- clarify the needsoftware_architect- design the architecturedatabase_architect- data modelbackend_engineer/frontend_engineer- implementationqa_engineerthencode_reviewer- validationsecurity_engineer/devops_engineeras needed
Examples
Architect:
Prompt: software_architect
Task: Analyze this project and propose a scalable architecture.
Database (no live DB connection):
Prompt: database_architect
Task: Design the schema from existing models in the repository.
Review:
Prompt: code_reviewer
Task: Review the recent implementation - bugs, clarity, security.
Useful tools
- Filesystem:
fs_read_file,fs_list_directory,fs_search_files - GitHub: public reads without token; private via
GITHUB_TOKEN(process env)
In Docker mode, filesystem root is /host (ideally ~/Projects): paths relative to the mount (e.g. my-app/src/...).
Knowledge (resources)
knowledge://coding_rulesknowledge://architecture_rulesknowledge://security_rulesknowledge://database_rules
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.
- 9d ago First seen · 67 lines · 521 tokens per session scan A c83bb54a1a47
Software-Factory-MCP AGENTS.md is an instructions file published in the GitHub repository TresorAlad/Software-Factory-MCP (2 stars, last pushed 1mo ago), licensed MIT. It adds 521 tokens to every session, about $0.0026 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 2026-08-31.
Other instructions, from other repositories
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.