Borrowing it
Nothing to install: this file belongs to 8NobleTruths/sabba. 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/8NobleTruths/sabba/main/CLAUDE.mdgit clone --depth 1 https://github.com/8NobleTruths/sabbaWrote 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/8nobletruths/sabba/claude-md)<a href="https://agentmods.dev/instructions/8nobletruths/sabba/claude-md"><img src="https://agentmods.dev/badge/instructions/8nobletruths/sabba/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/8nobletruths/sabba/claude-md"><img src="https://agentmods.dev/badge/instructions/8nobletruths/sabba/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 | $0.00712 | $0.00712 |
| Opus 5.5 | $0.00285 | $0.00285 |
| Sonnet 5.5 | $0.00142 | $0.00142 |
| Haiku 4.5 | $0.00071 | $0.00071 |
Grade A, and why
sabba 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sabba Agent
Sabba finds security bugs and proves each one by triggering it. A model proposes candidates, and an execution oracle runs an exploit in a sandbox and decides whether a security property broke. Nothing is reported unless the exploit reproduces. The pipeline that exists today targets C and C++ memory safety. The design extends the same discipline to any language and to smart contracts, Solidity first.
Where to start reading
docs/SABBA_AGENT_DESIGN.md: how the current C and C++ bug-finder fits together. The oracle is the anchor; every other part proposes candidates.docs/PROVERS_MULTI_DOMAIN_DESIGN.md: how the oracle generalizes from one sanitizer pipeline into a registry of provers, one per vulnerability class and runtime. Covers managed languages, web applications, and Web3 and Solidity, where a finding is proven on an EVM fork by a fund-drain or solvency invariant. Read this before adding a prover for a new language or chain.docs/WATER_LAYER_DESIGN.md: the design for the next layer, an agent that learns skills, keeps them as runnable code, runs without a frontier model, and can be rebuilt from a signed seed after deletion. Read this before working on anything under a futurewater/package. Provers are skills the genome accumulates.
Layout
sabba/harness/oracle.py: the execution oracle, the shared verifier. Never fork it. It generalizes into the prover registry.sabba/harness/agent.py,sabba/harness/orchestrator.py: the reasoning agent and driver.sabba/harness/fuzz.py: the model writes a harness, the oracle proves the crash. This is the seed of the Water Layer's skill compiler.sabba/harness/symbolic/synth.py: the Z3 synthesizer.sabba/llm/: the model backend switch (OpenRouter, Anthropic, GLM). The Water Layer's Teacher and Resident both sit behindllm/base.py.sabba/sandbox/: docker and local execution isolation. It grows environment builders per domain: a compile step, a fuzz harness, a seeded web container, an EVM fork.sabba/memory.py,sabba/history.py: the seed of the Water Layer genome.sabba/cli.py,sabba/repl.py,sabba/tui.py: the command line, the REPL, the TUI.
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 · 49 lines · 712 tokens per session scan A 5f3d77219b50
sabba CLAUDE.md is an instructions file published in the GitHub repository 8NobleTruths/sabba (9 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 712 tokens to every session, about $0.0028 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 2026-08-30.
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).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.