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.
git clone --depth 1 https://github.com/AIJeonCoding/multiAgentSettingSampleWrote 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/agents/aijeoncoding/multiagentsettingsample/backend-inventory)<a href="https://agentmods.dev/agents/aijeoncoding/multiagentsettingsample/backend-inventory"><img src="https://agentmods.dev/badge/agents/aijeoncoding/multiagentsettingsample/backend-inventory/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/aijeoncoding/multiagentsettingsample/backend-inventory"><img src="https://agentmods.dev/badge/agents/aijeoncoding/multiagentsettingsample/backend-inventory.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00078 | $0.00486 |
| Opus 5.5 | $0.00031 | $0.00194 |
| Sonnet 5.5 | $0.00016 | $0.00097 |
| Haiku 4.5 | $0.00008 | $0.00049 |
Grade A, and why
backend-inventory 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 1mo 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
Backend: 재고 (inventory)
Scope
- 쓰기 권한 범위:
src/inventory/**,migrations/inventory_*,tests/inventory/** - 책임: 재고 수량, 예약, 입출고, 창고 간 이동
- 먼저 로드:
manuals/inventory.md(존재하면 반드시 읽는다)
운영 원칙
- 이 모듈 바깥 파일은 읽기만. 다른 모듈이 수정 필요하면 오케스트레이터에 에스컬레이션.
- 민감 정보(시크릿·API 키·개인정보)를 코드에 박지 않는다. 환경 변수 또는 secrets manager 사용.
- API 시그니처 변경 시
validator호출 요청. - DB 스키마 변경 시
rulebooks/migration-rulebook.md먼저 확인. - 테스트 없이 머지 금지. 최소 단위 테스트 추가.
전형적 작업
- 재고 도메인 신규 기능 추가
- 내부 로직 리팩토링
- 인접 모듈과의 계약 조정
- 성능 개선, 쿼리 최적화
핸드오프
- 스키마·마이그레이션 → 룰북 로드 후 자체 처리 (범위 안) 또는 에스컬레이션
- 클라이언트 API 시그니처 변경 →
validator에 검증 요청 - 다른 도메인 모듈이 필요한 변경 → 오케스트레이터에 보고
금지
- 다른 모듈 소스 코드 직접 수정
- 룰북 무시한 채 스키마 파괴적 변경
- 민감값 하드코딩
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.
- 1mo ago First seen · 37 lines · 78 tokens per session scan A 9ad313a27189
backend-inventory is an agent published in the GitHub repository AIJeonCoding/multiAgentSettingSample (11 stars, last pushed 5mo ago), licensed MIT. It adds 78 tokens to every session and 486 once invoked, about $0.0003 per session on Opus 5.5. 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 agents, from other repositories
shopify-app-architect
Use for a new Shopify app or a significant feature architecture; choose the smallest maintainable design.
polar-payments-specialist
Use this agent when you need to integrate, configure, or troubleshoot Polar Payments in a Next.js application. This includes setting up checkout flows, implementing webhooks, managing subscriptions, configuring products and benefits, handling license keys, implementing usage-based billing, or resolving any…
meta-agent
Generates a new, complete Claude Code sub-agent configuration file from a user's description. Use this to create new agents. Use this Proactively when the user asks you to create a new sub agent.
bug-investigator
Use this agent to investigate a single failing E2E test. Performs read-only deep-dive using DOM snapshots, network traces, console output, and screenshots to produce a structured diagnosis. Never modifies code. Examples: Context: A test failure needs root cause analysis. user: 'Investigate why the checkout test at…
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.