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 instructions/us-all/openmetadata-mcp-server/claude-mdgit clone --depth 1 https://github.com/us-all/openmetadata-mcp-serverWrote 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/instructions/us-all/openmetadata-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/us-all/openmetadata-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/us-all/openmetadata-mcp-server/claude-md.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 5.1 | $0.03668 | $0.03668 |
| Opus 5 | $0.01834 | $0.01834 |
| Sonnet 5 | $0.00734 | $0.00734 |
| Haiku 4.5 | $0.00367 | $0.00367 |
Grade A, and why
openmetadata-mcp-server CLAUDE.md 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
이 파일은 Claude Code가 이 저장소에서 작업할 때 참고하는 컨텍스트입니다.
프로젝트 개요
@us-all/openmetadata-mcp — OpenMetadata REST API를 MCP stdio 서버로 노출. 156 도구(meta 1 + 도메인 155)로 metadata 관리, lineage, search(키워드+semantic), data quality, sample-data 전 영역 커버. Read-only 기본, 쓰기는 OPENMETADATA_ALLOW_WRITE=true로 옵트인.
- 타겟 OpenMetadata: 1.x (1.12+ semantic search 활용)
- 런타임: Node 18+, stdio transport, TypeScript strict
- 인증: JWT Bot 토큰 (
OPENMETADATA_TOKEN) - 표준: @us-all MCP Standard 준수
디렉토리
src/
├── index.ts # MCP 서버 + tool() 헬퍼 + 카테고리별 도구 등록
├── config.ts # ENV 로딩 (OM_TOOLS / OM_DISABLE 토글 포함)
├── client.ts # OpenMetadata REST 클라이언트 (JSON-Patch 자동 처리)
├── tool-registry.ts # CATEGORIES 정의 + @us-all/mcp-toolkit 사용
├── resources.ts # MCP Resources (om:// URI scheme)
└── tools/
├── utils.ts # wrapToolHandler (auto-extractFields), assertWriteAllowed, error sanitization
├── extract-fields.ts # toolkit re-export (backward compat)
├── search.ts # search-metadata, suggest-metadata
├── semantic-search.ts # OM 1.12+ /search/vector/query
├── tables.ts # CRUD (extractFields 적용)
├── databases.ts schemas.ts lineage.ts services.ts ... # 30+ entity files
├── aggregations.ts # get-table-summary (round-trip 제거)
└── sample-data.ts # 6 sample-data 도구
Build & Run
pnpm install
pnpm build # tsc → dist/
pnpm test # vitest (extract-fields tests)
pnpm token-stats # tools/list 토큰 측정
카테고리 (9)
OM_TOOLS=core,governance,quality 같이 ENV 토글로 일부만 로드 가능.
| 카테고리 | 포함 도구 |
|---|---|
search |
search-metadata, suggest-metadata, semantic-search |
core |
tables, databases, schemas, lineage, get-table-summary |
discovery |
dashboards, pipelines, charts, topics, mlmodels, containers, queries, stored-procedures |
governance |
glossary, classifications, tags, domains, dataproducts |
quality |
data-quality (test-suites/cases), sample-data |
services |
database/dashboard/messaging/pipeline/mlmodel/storage services |
admin |
users, teams, access (roles/policies), bots |
events |
event subscriptions |
meta |
search-tools (항상 활성) |
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.
- 5d ago First seen · 131 lines · 3,668 tokens per session scan A fe5b2e8b997c
openmetadata-mcp-server CLAUDE.md is an instructions file published in the GitHub repository us-all/openmetadata-mcp-server (0 stars, last pushed 1mo ago), licensed MIT. It adds 3,668 tokens to every session, about $0.0183 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.
Other instructions, from other repositories
GPT-RAG release.instructions.md
Instructions for Azure/GPT-RAG, a project described as: Enterprise-grade accelerator for agentic RAG on Azure. Built on Microsoft Foundry with Foundry IQ as the default retrieval backend, Microsoft Agent Framework orchestration, Zero-Trust architecture and IaC.
apex-accelerator vendor-prompting.instructions.md
Vendor prompting best-practice rules for Anthropic Claude and OpenAI GPT-5.6-Terra agents and prompts. Each rule cites a rule ID in the vendor-prompting skill rules.json registry. Validator: npm run lint:vendor-prompting.
rag-code-mcp copilot-instructions.md
Instructions for doITmagic/rag-code-mcp, covering copilot instructions - ragcode mcp, ⚖️ the golden rule, project overview, architecture & patterns and developer workflows.
ken CLAUDE.md
Claude Code instructions for townsendmerino/ken, covering claude.md, what this is, repository ownership (read this first), commands and embedding parity & golden fixtures (now in aikit).
ZipAI CLAUDE.md
Claude Code instructions for nickdesi/ZipAI, covering claude.md — zipai: ultra-dense token optimizer, rules, 1. zero filler, 2. ambiguity and 3. prompt caching.
gpu-ai-skills CLAUDE.md
Claude Code instructions for intel/gpu-ai-skills, covering claude.md, what this repository is, repository structure, commands and validation (required before any skill change).