Borrowing it
Nothing to install: this file belongs to minsik102/fileanalyzer_mcp_testmode. 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/minsik102/fileanalyzer_mcp_testmode/main/AGENTS.mdgit clone --depth 1 https://github.com/minsik102/fileanalyzer_mcp_testmodeWrote 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/minsik102/fileanalyzer_mcp_testmode/agents-md)<a href="https://agentmods.dev/instructions/minsik102/fileanalyzer_mcp_testmode/agents-md"><img src="https://agentmods.dev/badge/instructions/minsik102/fileanalyzer_mcp_testmode/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/minsik102/fileanalyzer_mcp_testmode/agents-md"><img src="https://agentmods.dev/badge/instructions/minsik102/fileanalyzer_mcp_testmode/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 5.5 | $0.00145 | $0.00145 |
| Sonnet 5.5 | $0.00072 | $0.00072 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
fileanalyzer_mcp_testmode 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 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.
This is a copy
100% identical to personal-meeting-mcp-training AGENTS.md — 0 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.
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.
- 1mo ago First seen · 19 lines · 362 tokens per session scan A 4938d8db040a
fileanalyzer_mcp_testmode AGENTS.md is an instructions file published in the GitHub repository minsik102/fileanalyzer_mcp_testmode (0 stars, last pushed 2mo ago), licensed MIT. It adds 362 tokens to every session, about $0.0014 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to personal-meeting-mcp-training AGENTS.md, differing in 0 lines, and is treated as a copy.
Other instructions, from other repositories
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