decisions

decisions is a cursor rule for Cursor from kok-o/koko-contextos-agents. It costs 5 tokens per session (505 once invoked), scanned A, original, MIT.

Rules for maintaining Architecture Decision Records, or ADRs: short documents that record important technical choices and the reasons behind them. They help an AI assistant understand which options were considered and what trade-offs mattered.

In plain words
What is it for?
Creating numbered decision documents, checking existing decisions before architectural work, and recording decisions that affect project modules.
Why use it?
They preserve the reasoning behind architecture decisions, so later changes do not accidentally contradict earlier agreements.

Cursor rule for Cursor

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/kok-o/koko-contextos-agents/decisions
Clone the repo
git clone --depth 1 https://github.com/kok-o/koko-contextos-agents

Made for: Cursor.

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 decisions

README.md
[![agentmods](https://agentmods.dev/badge/rules/kok-o/koko-contextos-agents/decisions.svg)](https://agentmods.dev/rules/kok-o/koko-contextos-agents/decisions)
Your own site
<a href="https://agentmods.dev/rules/kok-o/koko-contextos-agents/decisions"><img src="https://agentmods.dev/badge/rules/kok-o/koko-contextos-agents/decisions.svg" alt="Measured on agentmods" height="20"></a>
Per session 5 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 505 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 $0.00005 $0.00505
Opus 5 $0.00003 $0.00253
Sonnet 5 $0.00001 $0.00101
Haiku 4.5 $0.00001 $0.00051

Measured 3d ago against content hash c110728fa8c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

decisions 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/rules/decisions.mdc · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: decisions

decision-engine

Overview

A brief summary of what the skill does and its core philosophy.

When to Use

Context for when this skill is applicable.

Rules & Patterns

You manage Architecture Decision Records (ADRs).

Why Decisions Matter

Without ADRs, the AI agent sees:

  • "Database: PostgreSQL" — but doesn't know WHY
  • "Auth: JWT" — but doesn't know what alternatives were considered
  • "Framework: Next.js" — but doesn't know the tradeoffs

With ADRs, the agent understands the reasoning and won't accidentally contradict prior decisions.

Commands

Create a Decision

When an architectural choice is made during any pipeline stage:

  1. Auto-increment the decision number
  2. Use the template from generators/templates/DECISION.md
  3. Save to docs/decisions/NNNN-decision-name.md
  4. Update the Project Graph if the decision affects modules

Naming convention: docs/decisions/0001-use-postgresql.md

Query Decisions

Before making changes that touch architecture:

  1. Check docs/decisions/ for related decisions
  2. If a decision exists, follow it
  3. If a decision needs to change, create a new ADR that supersedes the old one

Decision Lifecycle

proposed → accepted → [deprecated | superseded]
  • proposed: Under discussion, not yet committed
  • accepted: The team agreed, this is the standard
  • deprecated: No longer relevant (project evolved)
  • superseded: Replaced by a newer decision (link to it)

Auto-Detection

The Decision Engine should suggest creating an ADR when it detects:

  • A new database/ORM is introduced
  • A new framework is added
  • Authentication strategy changes
  • API versioning approach is chosen
  • Deployment strategy is decided
  • A significant library is added (state management, testing framework, etc.)

Code Examples

See EXAMPLES.md for detailed code examples.

Validation Checklist

What to verify during the review phase before completing the task.

Common Mistakes

Read the full file on GitHub · 93 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 · 93 lines · 5 tokens per session scan A c110728fa8c6

Subscribe to this mod's changes

decisions is a cursor rule published in the GitHub repository kok-o/koko-contextos-agents (2 stars, last pushed 3d ago), licensed MIT. It adds 5 tokens to every session and 505 once invoked, about $0.0000 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.