Borrowing it
Nothing to install: this file belongs to saewookkangboy/personal-meeting-mcp-training. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/saewookkangboy/personal-meeting-mcp-training/main/AGENTS.mdgit clone --depth 1 https://github.com/saewookkangboy/personal-meeting-mcp-trainingWrote 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/saewookkangboy/personal-meeting-mcp-training/agents-md)<a href="https://agentmods.dev/instructions/saewookkangboy/personal-meeting-mcp-training/agents-md"><img src="https://agentmods.dev/badge/instructions/saewookkangboy/personal-meeting-mcp-training/agents-md/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/instructions/saewookkangboy/personal-meeting-mcp-training/agents-md"><img src="https://agentmods.dev/badge/instructions/saewookkangboy/personal-meeting-mcp-training/agents-md.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 | $0.00362 | $0.00362 |
| Opus 5 | $0.00181 | $0.00181 |
| Sonnet 5 | $0.00072 | $0.00072 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
personal-meeting-mcp-training AGENTS.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 11d 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:
- fileanalyzer_mcp_testmode AGENTS.md — 100% identical, 0 lines differ
What it actually says
교육용 프로젝트 작업 규칙
- 모든 예시는
data/dummy_notes/의 합성 데이터만 사용한다. - 실제 개인정보, 회사 기밀, 인증정보를 추가하지 않는다.
- 원문에 없는 결정, 담당자, 기한을 추론하지 않는다.
- 쓰기 작업은
preview_save_minutes후 사용자가 승인한 경우에만 수행한다. - 도메인 로직은
core.py·grounding.py, 도구 규약은server.py·harness.py에 둔다. - 새 도구에는
name,annotations, 완결된 docstring, Pydantic 반환 모델을 반드시 붙인다. - 도구 인자는
Annotated[..., Field(...)]평면 형태로 쓴다. Pydantic 모델을 인자 타입으로 쓰면 스키마가params로 중첩되어 기존 실습 호출이 깨진다. - 오류는
harness.ToolFailure로 원인 코드·복구 방법·선택지를 함께 돌려준다. - 확실한 검사만 저장을 막는다. 휴리스틱 검사는 경고로만 알린다.
- 검사 규칙을 바꾼 뒤에는
instructor/reference_launch_sync.md가 여전히 경고 없이 통과하는지 확인한다. 정답 예시가 걸리면 검사기가 틀린 것이다. - 변경 후
uv run pytest -q,uv run python scripts/smoke_stdio.py,uv run python scripts/validate_package.py를 모두 실행한다. - 교육생의 핵심 과제는 도구 또는 템플릿을 자기 업무에 맞게 하나 이상 수정하는 것이다.
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.
- 11d ago First seen · 19 lines · 362 tokens per session scan A 4938d8db040a
personal-meeting-mcp-training AGENTS.md is an instructions file published in the GitHub repository saewookkangboy/personal-meeting-mcp-training (0 stars, last pushed 17d ago), licensed MIT. It adds 362 tokens to every session, about $0.0018 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
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).