Borrowing it
Nothing to install: this file belongs to Ecro/embedeval. 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/Ecro/embedeval/main/CLAUDE.mdgit clone --depth 1 https://github.com/Ecro/embedevalWrote 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/ecro/embedeval/claude-md)<a href="https://agentmods.dev/instructions/ecro/embedeval/claude-md"><img src="https://agentmods.dev/badge/instructions/ecro/embedeval/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/ecro/embedeval/claude-md"><img src="https://agentmods.dev/badge/instructions/ecro/embedeval/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 | $0.05344 | $0.05344 |
| Opus 5.5 | $0.02138 | $0.02138 |
| Sonnet 5.5 | $0.01069 | $0.01069 |
| Haiku 4.5 | $0.00534 | $0.00534 |
Grade A, and why
embedeval 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 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.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EmbedEval
Professional-grade LLM benchmark for embedded firmware development (Zephyr RTOS, FreeRTOS, ESP-IDF, STM32 HAL, Linux kernel drivers, Yocto/Embedded Linux).
Project Context
- Vault Project: embedeval
- Repository: /home/noel/embedeval
- TODO Sync: Enabled
- GitHub: https://github.com/Ecro/embedeval
- Private Cases: https://github.com/Ecro/embedeval-private (48 held-out TCs)
Tech Stack
| Layer | Technology | Version |
|---|---|---|
| Language | Python | 3.12+ |
| Package Manager | uv | latest |
| LLM Client | litellm | latest |
| CLI | typer | latest |
| Models | pydantic | v2 |
| Container | Docker | latest |
| Target SDKs | Zephyr RTOS, FreeRTOS, ESP-IDF, STM32 HAL, Linux kernel, Yocto | various |
| CI | GitHub Actions | - |
Project Structure
embedeval/
├── src/embedeval/ # Core library
│ ├── models.py # Pydantic models (EvalResult, BenchmarkReport, etc.)
│ ├── evaluator.py # 5-layer evaluation pipeline (L0-L4)
│ ├── runner.py # Benchmark runner orchestration
│ ├── scorer.py # Score aggregation (pass@1, pass@5, layer rates)
│ ├── reporter.py # JSON + Markdown report generation
│ ├── llm_client.py # LiteLLM wrapper with retry logic
│ └── cli.py # Typer CLI (run, list, validate, report)
├── cases/ # Public test cases (179 TCs)
│ ├── kconfig-001/
│ ├── device-tree-001/
│ └── isr-concurrency-001/
│ # Private cases in separate repo: ../embedeval-private/cases/
├── tests/ # pytest test suite
├── docs/ # METHODOLOGY.md, CONTRIBUTING.md
└── .github/workflows/ # CI, case validation, benchmark dispatch
Commands
| Command | Purpose |
|---|---|
uv run pytest |
Run all tests |
uv run ruff check src/ tests/ |
Lint |
uv run ruff format src/ tests/ |
Format |
uv run mypy src/ |
Type check |
uv run embedeval --help |
CLI help |
uv run embedeval list --cases cases/ |
List cases |
uv run embedeval validate --cases cases/ |
Validate cases |
uv run embedeval run ... --private-cases ../embedeval-private/cases/ --include-private |
Include private cases |
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 Changed · +3 lines · +515 tokens per session 5c451c509fdf
- 1mo ago Changed · +6 lines · +1,257 tokens per session 6d716eed2a05
- 2mo ago First seen · 166 lines · 3,572 tokens per session scan A b22d5eed649a
embedeval CLAUDE.md is an instructions file published in the GitHub repository Ecro/embedeval (13 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 5,344 tokens to every session, about $0.0214 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.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.