Borrowing it
Nothing to install: this file belongs to 1Kraks/mcp-tensorboard. 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/1Kraks/mcp-tensorboard/main/CLAUDE.mdgit clone --depth 1 https://github.com/1Kraks/mcp-tensorboardWrote 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/1kraks/mcp-tensorboard/claude-md)<a href="https://agentmods.dev/instructions/1kraks/mcp-tensorboard/claude-md"><img src="https://agentmods.dev/badge/instructions/1kraks/mcp-tensorboard/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 | $0.00234 | $0.00234 |
| Opus 5 | $0.00117 | $0.00117 |
| Sonnet 5 | $0.00047 | $0.00047 |
| Haiku 4.5 | $0.00023 | $0.00023 |
Grade A, and why
mcp-tensorboard 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 7d 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
Project Context - llm-reward-repo
Python Environment Management (uv)
This project uses uv for Python package and project management. uv is an extremely fast Python package and project manager written in Rust, designed to replace pip, pip-tools, poetry, and more.
Setup
# Create virtual environment
uv venv
# Activate environment
source .venv/bin/activate # macOS/Linux
# Add dependencies
uv add <package-name>
# Sync environment with lockfile
uv sync
# Run commands in the virtual environment
uv run <command>
Key Commands
uv add <package>- Add a dependency to pyproject.tomluv remove <package>- Remove a dependencyuv sync- Sync virtual environment with lockfileuv run <script>- Run a script in the virtual environmentuv lock- Update the lockfile without syncing
Project Info
- Python version: 3.13 (managed via .python-version)
- Package manager: uv
- Project file: pyproject.toml
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.
- 7d ago First seen · 39 lines · 234 tokens per session scan A 6ed712233cf2
mcp-tensorboard CLAUDE.md is an instructions file published in the GitHub repository 1Kraks/mcp-tensorboard (0 stars, last pushed 13d ago), licensed MIT. It adds 234 tokens to every session, about $0.0012 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.
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