Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/ecro/embedeval/claude-mdgit clone --depth 1 https://github.com/Ecro/embedevalWhat 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 | $0.03572 | $0.03572 |
| Opus 5 | $0.01786 | $0.01786 |
| Sonnet 5 | $0.00714 | $0.00714 |
| Haiku 4.5 | $0.00357 | $0.00357 |
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 2d 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 — 166 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.
- 2d 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 (11 stars, last pushed 26d ago), licensed Apache-2.0. It adds 3,572 tokens to every session, about $0.0179 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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