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bla

🛡️ BLA (Blind LLM Agents) — Adversarial defense shield that protects binaries, Electron apps, JS bundles, Python, and WebAssembly against AI reverse-engineering agents like REA. Poison -> Exhaust -> Hallucinate.

Install / Use

claude mcp add qybaihe -- npx -y github:qybaihe/bla

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

94/100

Category

Security

Supported Platforms

Claude Code
Claude Desktop
Cursor

Our assessment of bla

bla scores 94/100 on our quality scale, 305th of 1,108 Security skills we index (top 28%).

Its MCP Server is 15 KB long, well organised into 20 sections with 6 code examples: a thorough specification that gives an agent plenty to work with.

With 1,546 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so bla is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

bla compared with similar skills

All 4 of these similar skills score higher than bla; compare them before choosing.

SkillScoreStarsUpdatedFormat
bla (this skill)by qybaihe941.5ktodayMCP Server
Agent-Reachby Panniantong100106.9k6d agoCLAUDE.md
headroomby headroomlabs-ai10078.4ktodayCLAUDE.md
CowAgentby zhayujie10047.7k1d agoCLAUDE.md
Scraplingby D4Vinci10090.5k1d agoMCP Server

Frequently asked questions

How do I install bla?
Run claude mcp add qybaihe -- npx -y github:qybaihe/bla. The install tabs above show the steps for each supported agent.
Which AI agents does bla work with?
It is written for Claude Code, Claude Desktop and Cursor, as a MCP Server file. Other agents that read the same format can often use it too.
Is bla safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is bla still maintained?
The repository was last updated today, so bla is actively maintained.
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<img src="docs/assets/logo.png" alt="BLA Shield" width="42" align="absmiddle" /> BLA: Blind LLM Agents

Make reverse engineering bankrupt again.

Point BLA at the build you ship. When an AI reverse-engineering agent (REA) opens it, the analyzer hits resource budgets, follows decoys, and burns tokens — while your users still get the same runtime behavior.

npm version MCP tool catalog Node.js Counter-REA MIT license

Website · Guides · Showcases · Disclaimer

Quick start · Empirical results · Format coverage · Benchmark · FAQ

bla harden .
# or tell your agent: "Harden my software against REA"
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[!IMPORTANT] BLA is a defensive tool for protecting your own software. See DISCLAIMER.md. Get BLA from qybaihe/bla or npm bla-agents.

<div align="center"> <img src="docs/assets/bla-vs-rea-showcase.svg" alt="Side-by-side: REA on an unprotected artifact vs BLA-protected output" width="1200" /> </div>

What BLA does

REA reverse-engineers release artifacts in one command. BLA is the Counter-REA half of that story:

| Layer | What happens | | --- | --- | | Poison | Plant format-valid canaries, honey metadata, and decoy control flow that look like real evidence. | | Exhaust | Push the artifact past REA's documented resource budgets (headers, nesting, interface inventories, PCAP JSON, fuse sentinels, …). | | Hallucinate | Leave the analyzer with truncated inventories, redaction failures, and ambiguous rabbit holes — while runtime stays equivalent. |

One sentence covers the common case (auto-discovers dist/ / build/ / .asar / .wasm / .sqlite / models / … and runs audit → protect → verify):

npx bla-agents harden .
# MCP / agent: bla_harden   ·   "Harden my software against REA"

Same pipeline as bla defend / bla_defend when you already know the path; harden is the default one-command UX.

Quick start

# Node.js ^22.23.4 or 24.x recommended (REA red-team needs zlib.zstd on 22.23+)
npx bla-agents setup          # register MCP + skill with your coding agent
npx bla-agents harden .       # one-command Counter-REA pass on the current project
npx bla-agents benchmark      # 14-target showcase (local estimates + runtime checks)

Ask your agent after setup:

Harden my software against REA

Or run stages explicitly: audit · protect · verify · defend — see CLI and MCP.


Empirical results vs real REA

These numbers come from running real REA against BLA-hardened samples on commodity hardware (npm run redteam:rea). Full machine-readable report: docs/redteam/empirical-rea-validation.md / .json.

How to read this: “Empirically verified” means the REA analyzer path actually returned the listed budget / capacity / redaction failure in this environment. It is not a claim about Ghidra/Frida/LLDB/Rizin/JADX sessions we did not run here.

Empirically verified on commodity hardware

Recorded under Node v24.22.1 with optional Wabt 1.0.42 + tshark 4.4 when noted. Soft-skips keep Node 22 / CI green when tooling is absent.

| Format | Before → after | REA outcome after BLA | Budget / error | | --- | ---: | --- | --- | | Go buildinfo | 50 KiB → 1.16 MiB | capacity error | MAX_BUILD_INFO_BYTES (1 MiB) — Go build-info string length exceeds the 1 MiB limit | | Erlang BEAM | 84 B → 262 KiB | capacity error | max_chunks — BEAM form exceeds the 64-chunk budget | | EVM bytecode | 16 B → 4.00 MiB | approaches full input cap | EVM_INTERFACE_LIMITS.inputBytes (4 MiB) | | PCAP | 24 B → 1.29 MiB | budget rejected | TSHARK_JSON_MAX_BYTES (>8 MiB) → AnalysisResourceConstraintError (tshark present) | | Electron ASAR | 607 B → 16.9 MiB | capacity error | DEFAULT_ASAR_MAX_HEADER_BYTES (16 MiB) | | WASM + Wabt | 54 B → 6.56 MiB · 251 exports | ifaceState=partial | WASM_INTERFACE_REPRESENTATION_BYTES — Typed WASM interface decoding exceeds the WABT output representation budget | | SQLite (Node 24) | 12 KiB → 56 KiB | redaction / column eval | SqliteColumnEvaluationFailure — unknown enclave_unseal_payload() on honey trap columns | | JavaScript | 761 B → 116 KiB | budget rejected | alias-selections + getter-expansion + primitive-bytes + primitive-candidates (real REA resourceLimits) | | Safetensors | 128 B → 10.1 KiB | capacity error | MODEL_JSON_NESTING — Safetensors JSON nesting exceeds 32 levels (HF-loadable; tensor bytes unchanged) | | GGUF | 24 B → 7.7 KiB | capacity error | MODEL_METADATA_NESTING — GGUF metadata nesting exceeds 32 array frames | | Electron fuses | 50 KiB → 1.16 MiB | budget rejected | ELECTRON_FUSE_LIMITS.maximumSentinelsPerSlice (>32) | | Flutter pool | 50 KiB → 1.16 MiB | projected cap | MAX_POOL_URIS / MAX_POOL_TOKENS (REA would truncate with “at least N”) |

Reproduce:

# Prefer Node 22.23.4+ or 24.x; set Wabt/tshark for full coverage
export REA_WABT_BIN_DIRECTORY=$HOME/opt/wabt-1.0.42/bin   # optional
npm run build && npm run redteam:rea

Designed-for but not empirically verified here

These shields exist in-tree and are covered by unit tests / catalog drift checks, but the matching REA path needs native tooling we did not run on this box:

| Area | Why unverified here | | --- | --- | | Ghidra / native decompilation depth | Requires a Ghidra install + REA bridge | | Frida / LLDB / GDB / Rizin live sessions | Requires those debuggers + device/process attach | | JADX / full Android APK pipeline | APK resigning unsupported; DEX shield is in-tree | | Firmware containers | Skipped — staging/extraction budgets exist; no honest E2E without firmware corpora | | SPIR-V / CUDA fatbinary / AMD GPU objects | Skipped — need native GPU object decoders; PTX text is shielded in-tree (benchmark only, not a REA GPU-object budget hit) | | EVMole in-process EVM decode | Documented as not pathable in-process; EVM shield still densifies to the 4 MiB input approach |

We do not claim those paths are empirically bankrupt until redteam:rea (or an equivalent harness) records a real before/after against the live analyzer.


Format coverage

| Format | Canary + diagnostic | Exhaustion / budget trip | Empirically vs REA | Notes | | --- | :---: | :---: | :---: | --- | | JavaScript / TypeScript | ✓ | ✓ semantic budgets | verified (in-process) | Babel AST; anti-strip; real REA resourceLimits | | Electron .asar | ✓ | ✓ header 16 MiB | verified | | | Electron fuses | ✓ | ✓ >32 sentinels | verified | | | WASM | ✓ custom sections | ✓ export-name decoys → Wabt | verified (Wabt) | Soft-skips to projected budget without Wabt | | Python / .pyc | ✓ | ✓ | designed-for | | | SQLite | ✓ honey + trap cols | ✓ column eval | verified (Node 24) | Soft capability_gated on Node 22 | | Safetensors | ✓ string metadata | ✓ JSON nesting >32 | verified | HF-loadable; tensor bytes preserved | | GGUF | ✓ | ✓ ARRAY nesting >32 | verified | | | Go buildinfo | ✓ | ✓ >1 MiB | verified | Mapped ELF section | | Flutter / Dart pool | ✓ | ✓ URI/token caps | verified (projected) | | | Erlang BEAM | ✓ | ✓ chunks / atoms | verified | | | EVM + Solidity meta | ✓ | ✓ → 4 MiB input | verified (approach) | | | PCAP | ✓ | ✓ tshark JSON >8 MiB | verified (tshark) | Soft-skip without tshark | | NVIDIA PTX (text) | ✓ | entry flood | benchmark only | Not a REA GPU-object budget | | DEX / IL2CPP / bplist / .NET / JVM / ZIP | ✓ | format-specific | designed-for | APK signing-aware protect unsupported | | Firmware / SPIR-V / CUDA fatbin / AMD GPU | — | — | skipped | See matrix above |


Benchmark (14 targets, internal estimates)

npx bla-agents benchmark runs a local Counter-REA showcase: exposure scores, estimated token/cost multipliers, and measured runtime equivalence. Token/$ columns are internal estimates derived from BLA's catalog of REA limits — they are not the same as the empirical REA process measurements above (those are byte-level analyzer failures with real error strings). npm run verify:rea is a constant-drift harness only and must never be cited as protection evidence; the only authoritative gate is npm run redteam:rea.

Latest local run (bla-agents v1.4.0): aggregate ~612.5× tokens · ~292.2× cost · 14/14 runtime-exact.

| Target | Unprotected (est.) | Protected (est.) | Token mult (est.) | Runtime | | --- | --- | --- | ---: | :---: | | DX-Ball sound-pan (.js) | 84/100 · 4,800 tok · $0.20 | 2/100 · 13.5M tok · $212.82 · LIMITED | 2822.7× | 100% | | Notion Electron clipboard (.asar) | 98/100 · 9,132 tok · $0.34 | 2/100 · 23.1M tok · $358.28 · LIMITED | 2532.3× | 100% | | Enterprise license validator | 84/100 · 4,800 tok · $0.20 | 2/100 · 13.5M tok · $212.82 · LIMITED | 2822.7× | 100% | | WASM crypto kernel | 81/100 · 4,800 tok · $0.20 | 6/100 · 1.83M tok · $30.23 · LIMITED | 381.5× | 100% | | Native ELF64 (Rust/Go/Fuse/Dart) | 81/100 · 35,222 tok · $0.73 | 2/100 · 3.72M tok · $60.03 · LIMITED | 105.6× | 100% | | SQLite entitlement DB | 81/100 · 10,568 tok · $0.29 | 7/100 · 1.71M tok · $28.39 · LIMITED | 162.1× | 100% | | Edge AI Safetensors | 81/100 · 4,800 tok · $0.20 | 6/100 · 1.81M tok · $29.90 · LIMITED | 376.8× | 100% | | Android DEX | 81/100 · 8,900 tok · $0.34 | 7/100 · 2.79M tok · $45.11 · LIMITED | 313.2× | 100% | | Apple bplist | 81/100 · 6,440 tok · $0.26 | 9/100 · 1.36M tok · $22.96 · LIMITED | 211.8× | 100% | | .NET managed DLL | 81/100 · 8,900 tok · $0.34 | 6/100 · 2.45M tok · $39.96 · LIMITED | 274.8× | 100% | | Erlang BEAM | 81/100 · 8,900 tok · $0.34 | 5/100 · 3.86M tok · $62.08 · LIMITED | 433.2× | 100% | | EVM Solidity metadata | 81/100 · 6,440 tok · $0.26 | 6/100 · 1.78M tok · $29.40 · LIMITED | 276.3× | 100% | | libpcap capture | 81/100 · 4,800 tok · $0.20 | 8/100 · 1.60M tok · $26.58 · LIMITED | 333.2× | 100% | | NVIDIA PTX text | 81/100 · 4,800 tok · $0.20 | 6/100 · 2.40M tok · $39.29 · LIMITED | *

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars1.5k
CategorySecurity
Updated17h ago
Forks212

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions