spring-ai-rag-demo: Skill for Cursor

.cursor/skills/openspec-propose/SKILL.md

openspec-propose is a skill for Cursor from ly1836/spring-ai-rag-demo. It costs 47 tokens per session (1,235 once invoked), scanned A, a copy of openspec-propose, Apache-2.0.

A change-proposal helper that creates a proposal, design document, and implementation task list from a requested feature or fix.

In plain words
What is it for?
Use it to turn a described change into an OpenSpec plan ready for implementation.
Why use it?
It removes the need to prepare these planning documents separately before coding begins.

Skill for Cursor

Written for Cursor: installed under .cursor/. Also seen: names the AskUserQuestion tool.

This is ly1836/spring-ai-rag-demo's own configuration. It tells Cursor how to work on spring-ai-rag-demo itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything spring-ai-rag-demo configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ly1836/spring-ai-rag-demo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ly1836/spring-ai-rag-demo/main/.cursor/skills/openspec-propose/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ly1836/spring-ai-rag-demo

Made for: Cursor.

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README.md
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Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,235 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 92% copy Near-identical to another mod 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 5.1 $0.00047 $0.01235
Opus 5 $0.00023 $0.00617
Sonnet 5 $0.00009 $0.00247
Haiku 4.5 $0.00005 $0.00123

Measured 10d ago against content hash d0bee334f57e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

openspec-propose 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 10d 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.

Origin

This is a copy

92% identical to openspec-propose — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.cursor/skills/openspec-propose/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Propose a new change - create the change and generate all artifacts in one step.

I'll create a change with artifacts:

  • proposal.md (what & why)
  • design.md (how)
  • tasks.md (implementation steps)

When ready to implement, run /opsx:apply


Input: The user's request should include a change name (kebab-case) OR a description of what they want to build.

Steps

  1. 项目 context 加载(必须首先执行)

    本项目是单模块 Spring Boot 应用,OpenSpec 统一在仓库根目录管理,无模块前缀概念

    change 名称按业务域或能力命名,例如:

    • chat-stream-mode
    • billing-monthly-quota
    • data-access-mybatis-plus-crud

    开始前必须读取:

    • openspec/context/spring-ai-rag-demo.md:项目架构、租户隔离、计费扣费、前端约束
    • openspec/config.yaml:通用 OpenSpec 与编码约束

    所有 OpenSpec CLI 命令均在仓库根目录执行。

    宣告:「目标项目:spring-ai-rag-demo,change 将创建在 openspec/changes/<name>/

  2. If no clear input provided, ask what they want to build

    Use the AskUserQuestion tool (open-ended, no preset options) to ask:

    "What change do you want to work on? Describe what you want to build or fix."

    From their description, derive a kebab-case name (e.g., "add user authentication" → add-user-auth).

    IMPORTANT: Do NOT proceed without understanding what the user wants to build.

  3. Create the change directory

    openspec new change "<name>"
    

    This creates a scaffolded change at openspec/changes/<name>/ with .openspec.yaml.

  4. Get the artifact build order

    openspec status --change "<name>" --json
    

    Parse the JSON to get:

    • applyRequires: array of artifact IDs needed before implementation (e.g., ["tasks"])
    • artifacts: list of all artifacts with their status and dependencies
  5. Create artifacts in sequence until apply-ready

    Use the TodoWrite tool to track progress through the artifacts.

    Loop through artifacts in dependency order (artifacts with no pending dependencies first):

    a. For each artifact that is ready (dependencies satisfied):

    • Get instructions:
      openspec instructions <artifact-id> --change "<name>" --json
      
    • The instructions JSON includes:
      • context: Project background (constraints for you - do NOT include in output)
      • rules: Artifact-specific rules (constraints for you - do NOT include in output)
      • template: The structure to use for your output file
      • instruction: Schema-specific guidance for this artifact type
      • outputPath: Where to write the artifact
      • dependencies: Completed artifacts to read for context
    • Read any completed dependency files for context
    • Create the artifact file using template as the structure
    • Apply context and rules as constraints - but do NOT copy them into the file
    • Show brief progress: "Created "

    b. Continue until all applyRequires artifacts are complete

    • After creating each artifact, re-run openspec status --change "<name>" --json
    • Check if every artifact ID in applyRequires has status: "done" in the artifacts array
    • Stop when all applyRequires artifacts are done

    c. If an artifact requires user input (unclear context):

    • Use AskUserQuestion tool to clarify
    • Then continue with creation
  6. Show final status

    openspec status --change "<name>"
    

Output

After completing all artifacts, summarize:

  • Change name and location
  • List of artifacts created with brief descriptions
  • What's ready: "All artifacts created! Ready for implementation."
  • Prompt: "Run /opsx:apply or ask me to implement to start working on the tasks."

Artifact Creation Guidelines

  • Follow the instruction field from openspec instructions for each artifact type
  • The schema defines what each artifact should contain - follow it
  • Read dependency artifacts for context before creating new ones
  • Use template as the structure for your output file - fill in its sections
  • IMPORTANT: context and rules are constraints for YOU, not content for the file
    • Do NOT copy <context>, <rules>, <project_context> blocks into the artifact
    • These guide what you write, but should never appear in the output

Read the full file on GitHub · 128 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. 10d ago First seen · 128 lines · 47 tokens per session scan A d0bee334f57e

Subscribe to this mod's changes

openspec-propose is a skill published in the GitHub repository ly1836/spring-ai-rag-demo (85 stars, last pushed yesterday), licensed Apache-2.0. It adds 47 tokens to every session and 1,235 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to openspec-propose, differing in 19 lines, and is treated as a copy.

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