blueprint-doctrine

blueprint-doctrine is a cursor rule for coding agents from aidesignblueprint/integrations. It costs 37 tokens per session (872 once invoked), scanned A, original, MIT.

A set of design rules for software where an AI agent performs work, uses tools, runs in the background, or asks people for approval.

In plain words
What is it for?
Designing or checking AI workflows, tool use, approvals, orchestration, background tasks, MCP connections, and human-review steps.
Why use it?
It helps teams review whether agent actions, progress, permissions, and human involvement are understandable and appropriately controlled.

Cursor rule

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/aidesignblueprint/integrations/blueprint-doctrine
Clone the repo
git clone --depth 1 https://github.com/aidesignblueprint/integrations

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 blueprint-doctrine

README.md
[![agentmods](https://agentmods.dev/badge/rules/aidesignblueprint/integrations/blueprint-doctrine.svg)](https://agentmods.dev/rules/aidesignblueprint/integrations/blueprint-doctrine)
Your own site
<a href="https://agentmods.dev/rules/aidesignblueprint/integrations/blueprint-doctrine"><img src="https://agentmods.dev/badge/rules/aidesignblueprint/integrations/blueprint-doctrine.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 872 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00037 $0.00872
Opus 5 $0.00018 $0.00436
Sonnet 5 $0.00007 $0.00174
Haiku 4.5 $0.00004 $0.00087

Measured 3d ago against content hash a88923fd81ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

blueprint-doctrine 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 3d 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.

cursor/blueprint-doctrine.mdc · 67 lines

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.

Agentic Design Blueprint

Use these rules when generating agentic product or workflow code.

Validator trio (Pro/Teams, via the AIDB MCP server in .cursor/mcp.json)

  • spec.validate — score a WRITTEN spec against the 8 spec-quality laws before anyone builds from it (PM lens).
  • architect.validate — score agentic code against the 10 principles below (Engineer lens).
  • design.validate — score a rendered surface against the 8 experience-design laws (Designer lens).

1. Design for delegation rather than direct manipulation

  • Slug: design-for-delegation-rather-than-direct-manipulation
  • Cluster: delegation
  • Guidance: Design experiences around the assignment of work, the expression of intent, the setting of constraints, and the review of results, rather than requiring users to execute each step manually.

2. Ensure that background work remains perceptible

  • Slug: ensure-that-background-work-remains-perceptible
  • Cluster: visibility
  • Guidance: When the system is operating asynchronously or outside the user’s immediate focus, it should provide persistent and proportionate signals that work is continuing.

3. Align feedback with the user’s level of attention

  • Slug: align-feedback-with-the-user-s-level-of-attention
  • Cluster: visibility
  • Guidance: The system should calibrate the depth and frequency of feedback according to whether the user is actively engaged, passively monitoring, or temporarily absent.

4. Apply progressive disclosure to system agency

  • Slug: apply-progressive-disclosure-to-system-agency
  • Cluster: trust
  • Guidance: Provide the minimum information necessary by default, while enabling users to inspect additional detail when confidence, understanding, or intervention is required.

5. Replace implied magic with clear mental models

  • Slug: replace-implied-magic-with-clear-mental-models
  • Cluster: delegation
  • Guidance: The product should help users understand what the system can do, what it is currently doing, what it cannot do, and what conditions govern its behaviour.

Read the full file on GitHub · 67 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. 3d ago First seen · 67 lines · 37 tokens per session scan A a88923fd81ff

Subscribe to this mod's changes

blueprint-doctrine is a cursor rule published in the GitHub repository aidesignblueprint/integrations (3 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 872 once invoked, about $0.0002 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.