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.
npx agentmods add rules/synaptiai/prompt-decorators/900-software-dev-decoratorsgit clone --depth 1 https://github.com/synaptiai/prompt-decoratorsWrote 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/rules/synaptiai/prompt-decorators/900-software-dev-decorators)<a href="https://agentmods.dev/rules/synaptiai/prompt-decorators/900-software-dev-decorators"><img src="https://agentmods.dev/badge/rules/synaptiai/prompt-decorators/900-software-dev-decorators.svg" alt="Measured on agentmods" 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 | $0.08745 | $0.08745 |
| Opus 5 | $0.04372 | $0.04372 |
| Sonnet 5 | $0.01749 | $0.01749 |
| Haiku 4.5 | $0.00874 | $0.00874 |
Grade A, and why
900-software-dev-decorators 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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- cursorrules — 88% identical, 761 lines differ
How it starts
The opening of the file, as written. The whole thing — 980 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Software Development Prompt Decorators
1.0.0
Context
- Use these decorators when working on software development tasks
- Apply when generating code, designing systems, debugging issues, or reviewing code
- Use individually or combine multiple decorators for more specific results
- These decorators enhance the way the AI responds to coding-related requests
Requirements
- Recognize and process all software development prompt decorators with the
+++prefix - Apply the appropriate transformation based on the decorator and its parameters
- Maintain the core query intent while applying decorator-specific modifications
- Support combinations of multiple decorators applied in sequence
- Follow the standard parameter parsing rules for all decorators
Supported Decorators
+++Algorithm
When this decorator is applied, the response implements specific algorithms with the desired complexity characteristics.
Parameters:
type (sorting | search | graph | string | numeric | ml | crypto): Algorithm categorycomplexity (constant | logarithmic | linear | linearithmic | quadratic | polynomial | exponential): Desired time complexityapproach (recursive | iterative | divide-conquer | dynamic | greedy): Algorithm design approach
Example:
+++Algorithm(type=graph, complexity=linear, approach=iterative)
Implement an algorithm to find the shortest path between two nodes in an unweighted graph.
+++APIDesign
When this decorator is applied, the response designs API interfaces focusing on specific qualities.
Parameters:
style (rest | graphql | grpc | soap | websocket | webhook): API architectural stylefocus (consistency | performance | developer-experience | backward-compatibility): Design prioritydocumentation (openapi | graphql-schema | protobuf | custom | style-appropriate): Documentation approach
Example:
+++APIDesign(style=graphql, focus=developer-experience, documentation=graphql-schema)
Design a GraphQL API for a content management system that prioritizes a great developer experience.
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.
- 4d ago First seen · 980 lines · 8,745 tokens per session scan A 85ca1f17eaaa
900-software-dev-decorators is a cursor rule published in the GitHub repository synaptiai/prompt-decorators (43 stars, last pushed yesterday), licensed Apache-2.0. It adds 8,745 tokens to every session, about $0.0437 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 2026-08-30.
Other cursor rules, from other repositories
react
React, TypeScript, and web development best practices for performance optimization.
session-distill
How to distill a long work session into ContextForge so a fresh session can resume cleanly. Invoke when the user asks to distill/hand off/checkpoint the session, when context is getting bloated and work is unfinished, or before deliberately starting a new session on the same task.
mcp-tools-readme
Keep README in sync when MCP tools change.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
cli-error-handling
CLI command error handling patterns.