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qybaiheqybaihe/bla/website/llms-full.txt

bla / website

llms.txt5.8k starsChanged 3 days agoMITView on GitHub

Modern AI reverse-engineering agents (e.g., morluto/rea) connect LLMs to Ghidra, IDA Pro, Hopper, V8 Inspector/CDP, Frida, node:sqlite, and binary parsers over the Model Context Protocol (MCP). Standalone legacy obfuscation (such as single-pass control-flow flattening or textbook x*(x+1)&1 opaque predicates) is routinely simplified by frontier reasoning models. BLA (bla-agents — Blind LLM Agents) is the defensive Blue Team counterpart: 1. Packaging Footgun Gates (bla lint / bla_lint): Fails closed before shipping if source maps, plaintext secrets, reversible seal sidecars, offline byte-by-byte…

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Mentions a month of the qybaihe/bla repository that our weekly crawl found: only 11 in all, so this is a hint, not a trend. There is no adoption data for this file yet.

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Talked about on GitHub and Bluesky (11 times).

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  • Other versions1 project uses a version of this.

    Word for word · 1

    1. qybaihe/bla-site★ 2100% same

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    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository3 other files it gives its agents.

The file

We split this llms-full.txt into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Never ship real API keys, private keys, or master secrets inside client artifacts.

    line 69

≈ “Common” is an estimate: at least 1 in 5 of the 3,592 llms.txt files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
llms-full.txt
# BLA (`bla-agents`) — Complete Technical Reference for LLMs & Coding Agents

- **Official Website**: https://bla.tools/
- **GitHub Repository**: https://github.com/qybaihe/bla
- **npm Package**: https://www.npmjs.com/package/bla-agents (aliases: `bla`, `bla-agents`, `bla-shield`)
- **License**: MIT
- **Node.js Runtime Floor**: `^22.23.4 || >=24.0.0` (uses built-in `node:sqlite` and `node:crypto` with minimal dependencies)

## 1. What Problem BLA Solves

Modern AI reverse-engineering agents (e.g., `morluto/rea`) connect LLMs to Ghidra, IDA Pro, Hopper, V8 Inspector/CDP, Frida, `node:sqlite`, and binary parsers over the Model Context Protocol (MCP). Standalone legacy obfuscation (such as single-pass control-flow flattening or textbook `x*(x+1)&1` opaque predicates) is routinely simplified by frontier reasoning models.

**BLA (`bla-agents` — Blind LLM Agents)** is the defensive Blue Team counterpart:
1. **Packaging Footgun Gates (`bla lint` / `bla_lint`)**: Fails closed before shipping if source maps, plaintext secrets, reversible seal sidecars, offline byte-by-byte verification oracles, `.env` / PEM keys, `SOLUTION.txt`, or unstripped `.pdb`/`.dSYM` debug symbols are present.
2. **Surgical Resource Exhaustion**: Saturates static/dynamic analyzer budgets (`obligation-flooder`, strongly connected `callgraph-labyrinth`, BPE token amplification, CDP object-shape budget guards, Frida capture saturators).
3. **Parameterized MBA & Multi-Layer Entanglement**: Applies Newton-Raphson parameterized affine Mixed Boolean-Arithmetic (MBA) instruction substitutions over Z_{2^32} and unsigned-domain MBA predicates, plus Agent-Driven Structural Weave (`bla_weave_plan` + `bla_verify_weave`) coupling business logic with shared mutable state.
4. **Multi-Round Hypothesis-Revision Decoys**: Plants warm-executed, non-crashing shadow business logic and hardware-enclave delegation mirages that survive static-vs-dynamic evidence arbitration.
5. **Runtime Self-Seal & Sidecar Entanglement (`--self-seal`, `--sidecar-entangle`)**: Enforces process-start canonical self-digest and sibling artifact SHA-256 verification across CommonJS, ES Modules (`.mjs` / `"type": "module"`), Python, Electron ASAR, and host-verifiable notes for WASM, `.pyc`, GGUF, Safetensors, and Bun standalone binaries.

## 2. Supported Artifact Formats (26 Formats)

- **Web, Node.js & Desktop**: JavaScript (CommonJS & ES Modules), TypeScript (`.ts`/`.tsx`), HTML bundles, Source Maps (`.map`), Electron `.asar` archives & Electron Fuses, Bun standalone executables.
- **Native & Compile-Time Headers**: ELF64 executables & shared libraries (`.so` mapped `.enclave` `PT_LOAD` decoy islands + `W^X`), Mach-O / Universal FAT binaries, Windows PE32/PE32+ (`.exe`/`.dll`), Go/Flutter symbol & buildinfo shields, plus compile-time C/C++, Rust, and Go headers (`bla emit-headers --lang c|rust|go`).
- **Virtual Machines & Bytecode**: WebAssembly (`.wasm`), Python source (`.py`) & CPython bytecode (`.pyc`), Android Dalvik (`.dex`), APK/AAB/IPA/JAR archives, Android binary `AndroidManifest.xml`, R8/ProGuard dictionaries, JVM `.class`, .NET CLR managed assemblies, Erlang/OTP `.beam`, EVM Solidity bytecode.
- **Data, Firmware & Edge AI Models**: SQLite databases (`.sqlite`/`.db`), Safetensors (`.safetensors` — bit-exact tensor preservation), GGUF v2/v3 (`.gguf` — alignment-preserving metadata shield), Apple PropertyLists (`.plist`), UF2 firmware, NVIDIA PTX modules (`.ptx`), and `libpcap` captures (`.pcap`).

## 3. Core CLI Commands

```bash
# 1. Auto-register MCP server & agent skill for Claude Code, Cursor, Codex, Windsurf, Gemini CLI, Antigravity
npx bla-agents setup --all-detected -y

# 2. Recommended 4-stage Agent-Driven Hardening workflow
npx bla-agents lint .
npx bla-agents weave-plan ./src
npx bla-agents verify-weave ./src
npx bla-agents harden . --weave-decoys --self-seal --sidecar-entangle

# 3. Single-target one-click defense + signed Ed25519 manifest
npx bla-agents defend ./dist --manifest
npx bla-agents verify-manifest ./dist/.bla-manifest.json --public-key pub.pem --require-pinned-key
npx bla-agents verify-sidecar ./dist/core.wasm

# 4. Compile-time C/Rust/Go headers for native builds
npx bla-agents emit-headers --lang rust -o src/bla_shield.rs

# 5. Environment & MCP readiness diagnostics
npx bla-agents doctor
```

## 4. Bundler Integration (`bla-agents/bundler`)

```ts
// vite.config.ts
import { defineConfig } from "vite";
import { blaVitePlugin } from "bla-agents/bundler";

export default defineConfig({
  plugins: [blaVitePlugin({ intensity: "balanced" })],
});
```

Also exports `blaRollupPlugin`, `blaWebpackPlugin`, and `blaEsbuildPlugin`.

## 5. Honesty Red Line (Security Boundaries)

BLA enforces strict defense-score honesty (`src/engine/defense-score-honesty.ts`):
- Client-side obfuscation and tarpits raise automated reverse-engineering cost and induce model misjudgment; they **never** replace server-side authentication, authorization, or secret custody.
- Never ship real API keys, private keys, or master secrets inside client artifacts.
- Post-link native binary shields and host-verified metadata notes (`wasm`, `pyc`, `gguf`, `safetensors`, `bun`) report honest score caps rather than claiming compile-time CFG rewriting or OS loader enforcement.

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