Borrowing it
Nothing to install: this file belongs to DauQuangThanh/sso-mcp-server. 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/DauQuangThanh/sso-mcp-server/main/.github/agents/rainbow.standardize.agent.mdgit clone --depth 1 https://github.com/DauQuangThanh/sso-mcp-serverWrote 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/agents/dauquangthanh/sso-mcp-server/rainbow.standardize)<a href="https://agentmods.dev/agents/dauquangthanh/sso-mcp-server/rainbow.standardize"><img src="https://agentmods.dev/badge/agents/dauquangthanh/sso-mcp-server/rainbow.standardize/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/agents/dauquangthanh/sso-mcp-server/rainbow.standardize"><img src="https://agentmods.dev/badge/agents/dauquangthanh/sso-mcp-server/rainbow.standardize.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 | $0.00018 | $0.03408 |
| Opus 5 | $0.00009 | $0.01704 |
| Sonnet 5 | $0.00004 | $0.00682 |
| Haiku 4.5 | $0.00002 | $0.00341 |
Grade A, and why
rainbow.standardize 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 — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Outline
IMPORTANT: Automatically generate a 'docs:' prefixed git commit message (e.g., 'docs: add coding standards and conventions') and commit upon completion.
-
Setup: Run
.rainbow/scripts/bash/setup-standardize.sh --jsonfrom repo root and parse JSON for STANDARDS_DOC, DOCS_DIR, ARCH_DOC, CONSTITUTION. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot"). -
Load context: Read
memory/ground-rules.md,docs/architecture.md(if exists), and all feature specifications fromspecs/*/spec.md. Load STANDARDS_DOC template (already copied to docs/). -
Execute standardization workflow: Follow the structure in STANDARDS_DOC template to:
- Define UI naming conventions (MANDATORY)
- Establish code naming conventions
- Document file and directory structure standards
- Define API design standards
- Establish database naming conventions
- Document testing standards
- Define Git workflow and commit message conventions
- Establish documentation standards
-
Stop and report: Command ends after standards document completion. Report STANDARDS_DOC path and generated artifacts.
Phases
Phase 0: Standards Analysis & Best Practices Research
-
Analyze project context:
- Read architecture.md to understand technology stack
- Detect UI layer presence: Check if project has frontend/UI components
- Look for: React, Vue, Angular, HTML, CSS, mobile frameworks (React Native, Flutter, SwiftUI)
- Check for: UI mockups, design specifications, frontend directories
- Determine: Frontend project, backend-only, or full-stack
- Read ground-rules.md for existing constraints
- Read feature specs to identify naming patterns
- Identify programming languages and frameworks in use
-
Research best practices for each technology:
- UI naming conventions for the UI framework (React, Vue, Angular, etc.)
- Code naming conventions for the backend language (Python, Java, TypeScript, etc.)
- Database naming conventions for the database system
- API design standards (REST, GraphQL, gRPC, etc.)
- Testing conventions for the test frameworks
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 · 409 lines · 18 tokens per session scan A 21d1175b1f2a
rainbow.standardize is an agent published in the GitHub repository DauQuangThanh/sso-mcp-server (0 stars, last pushed 8mo ago), licensed MIT. It adds 18 tokens to every session and 3,408 once invoked, about $0.0001 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.
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