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 skills/ly1836/spring-ai-rag-demo/commitnpx skills add ly1836/spring-ai-rag-demo --skill commitgit clone --depth 1 https://github.com/ly1836/spring-ai-rag-demoWrote 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/skills/ly1836/spring-ai-rag-demo/commit)<a href="https://agentmods.dev/skills/ly1836/spring-ai-rag-demo/commit"><img src="https://agentmods.dev/badge/skills/ly1836/spring-ai-rag-demo/commit.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 | $0.00025 | $0.00338 |
| Opus 5 | $0.00013 | $0.00169 |
| Sonnet 5 | $0.00005 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
commit 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.
What it actually says
生成 Commit Message
分析当前 git 变更,生成规范的提交信息。
步骤:
- 运行
git diff --cached或git diff查看变更内容 - 判断变更类型和涉及的业务域
- 生成符合规范的 commit message
格式:
<type>: <中文描述>
AI-Generated: true
AI-Tool: Cursor
Reviewed-by: <git config user.name>
type 选择:
feat: 新功能(新增 Controller / Service / Tool / DAO / 前端交互等)fix: 修复缺陷refactor: 重构(如数据访问层迁移、服务拆分、配置整理)docs: 文档变更(openspec 设计文档等)style: 格式调整(不影响逻辑)test: 测试相关chore: 构建/依赖/配置变更
描述规范:
- 优先使用中文
- 指明涉及的业务域(如:chat、billing、conversation、tool、config、vo、dao、static)
- 说明变更的核心内容
示例:
refactor: 计费域 — 将 JdbcTemplate 查询迁移为 MyBatis-Plus Mapper
AI-Generated: true
AI-Tool: Cursor
Reviewed-by: developer
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 · 48 lines · 25 tokens per session scan A c0768c529d44
commit is a skill published in the GitHub repository ly1836/spring-ai-rag-demo (84 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 25 tokens to every session and 338 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 2026-08-30.
Other skills, from other repositories
docker-expert
Expert-level Docker containerization, image optimization, and container orchestration. Use this skill for building efficient Docker images, managing containers, and implementing Docker best practices.
clawrouter
Hosted-gateway LLM router — save 84% on inference costs. A local proxy that forwards each request to the blockrun.ai gateway, which routes to the cheapest capable model across 76 models from OpenAI, Anthropic, Google, DeepSeek, xAI, Z.AI, and more. 7 free open-weight models included. Also exposes realtime market data…
surf
Use this skill — NOT browser or webfetch — for ALL Surf crypto-data calls. 83 endpoints at localhost:8402/v1/surf/ covering CEX/DEX markets, on-chain SQL over 80+ ClickHouse tables (Ethereum, Base, Arbitrum, BSC, TRON, HyperEVM, Tempo), 100M+ labeled wallets, prediction markets (Polymarket + Kalshi), social/CT…
phone
Verify phone numbers (carrier + SIM-swap fraud signals) and place AI-powered outbound voice calls via BlockRun's gateway (Twilio + Bland.ai). Trigger when the user asks to look up a number, check fraud risk, buy/rent a phone number, or place an AI voice call. Payment is automatic via x402 from the wallet.
imagegen
Generate or edit images via BlockRun's image API. Trigger when the user asks to generate, create, draw, make an image — or to edit, modify, change, or retouch an existing image.
polymarket-trading
Use when the user wants to actually PLACE, manage, or redeem bets on Polymarket (not just read odds — that's the blockrunpredexon data tools). Covers setup (deposit wallet, funding, approvals), buy/sell with confirm gating, positions, redeeming winnings, geoblock handling, and the end-to-end flow.