Borrowing it
Nothing to install: this file belongs to chloe-kwak/smai-end-to-end-smus. 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/chloe-kwak/smai-end-to-end-smus/main/CLAUDE.mdgit clone --depth 1 https://github.com/chloe-kwak/smai-end-to-end-smusWrote 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/chloe-kwak/smai-end-to-end-smus/claude-md)<a href="https://agentmods.dev/instructions/chloe-kwak/smai-end-to-end-smus/claude-md"><img src="https://agentmods.dev/badge/instructions/chloe-kwak/smai-end-to-end-smus/claude-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/chloe-kwak/smai-end-to-end-smus/claude-md"><img src="https://agentmods.dev/badge/instructions/chloe-kwak/smai-end-to-end-smus/claude-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 | $0.01078 | $0.01078 |
| Opus 5.5 | $0.00431 | $0.00431 |
| Sonnet 5.5 | $0.00216 | $0.00216 |
| Haiku 4.5 | $0.00108 | $0.00108 |
Grade A, and why
smai-end-to-end-smus 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 2mo 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
:# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What this is
A hands-on workshop (instructional content in Korean) demonstrating an end-to-end ML workflow on Amazon SageMaker Unified Studio with MLflow experiment tracking. It is a sequence of Jupyter notebooks, not an installable package — there is no build, lint, or test suite. The notebooks are the source of truth.
The notebooks are the only versioned code
code/, processing/, training/, tmp/, data/, bank-additional/, mlruns/, and model
artifacts (*.tar.gz, xgboost-model) are all gitignored — they are generated at runtime.
The .py scripts in code//processing//training/ are produced by %%writefile cells inside
the notebooks; bank-additional/ and data/ are downloaded by the notebooks. Never edit those
generated files directly — edit the %%writefile cell in the owning notebook, since a re-run
overwrites them. To inspect a notebook as plain Python:
jupyter nbconvert --to script --stdout 2-training.ipynb
Two independent tracks — do not conflate them
- Notebooks 0→4 — Bank Marketing dataset, binary classification (predict term-deposit
subscription,
binary:logistic). These run sequentially and share state (see%storebelow). - Notebook 5 (
5-pipelines_...ipynb) — UCI Abalone, regression (reg:..., MSE). A standalone SageMaker Pipelines demo that does NOT consume any output of 0→4 and can run alone.
The two tracks have separate preprocessing/training/evaluation scripts with different schemas
(processing/preprocessing.py + training/train.py for bank; code/preprocessing.py +
code/evaluation.py for abalone). When changing data shape, only touch the track you mean.
Cross-notebook state via %store
Notebook 0 computes bucket, prefix, role, region, mlflow_arn, mlflow_name,
experiment_name and persists them with %store. Notebooks 1→4 begin with %store -r ... to
restore them. Notebook 0 must be run first, in the same Jupyter profile, or the later
notebooks fail at restore.
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.
- 2mo ago First seen · 75 lines · 1,078 tokens per session scan A 129d72acc131
smai-end-to-end-smus CLAUDE.md is an instructions file published in the GitHub repository chloe-kwak/smai-end-to-end-smus (2 stars, last pushed 4mo ago), licensed MIT. It adds 1,078 tokens to every session, about $0.0043 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 2026-08-31.
smai-end-to-end-smus CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| smai-end-to-end-smus CLAUDE.mdchloe-kwak/smai-end-to-end-smus | Instructions file | 2 | 4mo ago | MIT | A | 1,078 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |