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bisect-ssa-pass平分 SSA 通道

Agent Skill

bisect-ssa-pass 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

753

周安装

32

GitHub Stars

1,273

下载量

264
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bisect-ssa-pass(平分 SSA 通道)
来源仓库:https://github.com/noir-lang/noir
仓库路径:skills/bisect-ssa-pass
安装命令:
npx skills add https://github.com/noir-lang/noir --skill bisect-ssa-pass
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/noir-lang/noir --skill bisect-ssa-pass

简介

bisect-ssa-pass 用于调试 Noir 编译器中 SSA 优化 Pass 导致的语义破坏问题。

  • 通过对比前后 Pass 行为差异,定位引发错误的具体优化步骤。
  • 适用于 fuzzer 失败、测试用例异常或手动发现的程序行为偏差场景。
  • 提供辅助脚本位于 scripts/ 目录,需熟悉 Noir 编译流程与 SSA 中间表示结构。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Noir SSA Bisection Debugging

Use this skill when debugging SSA optimization bugs - situations where an SSA pass fails to preserve program semantics. This workflow bisects SSA passes to identify which one introduces the behavioral change.

Common scenarios:

  • Fuzzer failures: The pass_vs_prev fuzzer found a program that produces different results after some SSA pass
  • Test failures: An existing test started failing after changes to an SSA pass
  • Manual discovery: A program produces incorrect results and you suspect an optimization bug

Helper scripts are in the scripts/ directory of this skill.

Prerequisites

You need a Noir project with a Prover.toml containing inputs that trigger the suspected issue. The program should produce incorrect results or exhibit unexpected behavior when executed.

1. Compiling and Splitting SSA Passes

Compile with --show-ssa to output SSA after each optimization pass:

# Basic compilation (add -Zenums if using match expressions)
nargo compile --show-ssa 2>&1 | tee ssa_output.txt

Important: Do not pipe the output through head or other truncating commands (e.g., | tee ssa_output.txt | head -50). This truncates the file before all passes are written. Inspect the file separately after compilation completes.

Verify the output captured all passes (~49 expected):

grep -E "^After " ssa_output.txt

Split into separate files

Use the provided script to split the output into one file per pass:

./scripts/split-ssa-passes.sh ssa_output.txt ssa_passes

Then clean up headers and diagnostics:

./scripts/clean-ssa-files.sh ssa_passes

This creates files like:

ssa_passes/01_Initial_SSA.ssa
ssa_passes/02_black_box_bypass_(1)_(step_1).ssa
ssa_passes/03_expand_signed_checks_(1)_(step_2).ssa
...

2. Using noir-ssa CLI to Bisect Failures

Build the SSA CLI tool (if not already built):

cargo build --release -p noir_ssa_cli

The binary is at target/release/noir-ssa.

Bisecting to Find the Failing Pass

Use the bisect script to run interpretation on each pass:

./scripts/bisect-ssa.sh 'v0 = "-92"' ssa_passes /path/to/noir-ssa

Input format: SSA parameters are named v0, v1, etc. based on their order. Convert your Prover.toml inputs accordingly (e.g., a = "-92" becomes v0 = "-92"). Use ; to separate multiple inputs.

Example output:

01_Initial_SSA.ssa: Ok(i8 1)
...
06_Inlining_simple_functions_(1)_(step_5).ssa: Ok(i8 1)
07_Mem2Reg_(1)_(step_6).ssa: Err(Reference value `*v8 = None` loaded before it was first stored to)
...

First failure: 07_Mem2Reg_(1)_(step_6).ssa

This identifies Mem2Reg (step 6) as the pass that introduced the bug.

Manual Interpretation

You can also run interpretation manually on individual files:

noir-ssa interpret --source-path ssa_passes/06_Inlining_simple_functions_*.ssa --input-toml 'v0 = "-92"'
noir-ssa interpret --source-path ssa_passes/07_Mem2Reg_*.ssa --input-toml 'v0 = "-92"'

Additional options:

  • --trace: Enable execution tracing
  • --input-path: Read inputs from a TOML file instead of inline

Comparing SSA Before/After

Once you identify the failing pass, compare the SSA files:

diff ssa_passes/06_*.ssa ssa_passes/07_*.ssa

Or read both files and look for the specific difference that causes the failure.

3. Creating Regression Tests

Once you've identified the failing pass, create a unit test to prevent regression. Use the actual SSA from the ssa_passes/ directory rather than trying to manually simplify or recreate the pattern.

Why use the SSA files directly?

  • The SSA in ssa_passes/ is the exact input that triggers the bug
  • Manually simplifying can accidentally remove the triggering pattern
  • Complex inputs (like arrays of references) are difficult to construct programmatically
  • The SSA parser accepts the exact format already present in the files

Creating the test

  1. Read the SSA file from the pass before the failure (the last working pass): cat ssa_passes/06_Inlining_simple_functions_*.ssa
  2. Extract the relevant function(s) that exhibit the bug
  3. Add a test to the appropriate pass's test module (e.g., compiler/noirc_evaluator/src/ssa/opt/mem2reg.rs):
#[test]
fn regression_test_name() {
    let src = r#"
    // Paste the SSA function(s) from the ssa_passes file here
    brillig(inline) fn func_1 f0 {
      b0(v2: [&mut u1; 3]):
        // ... exact SSA from the file
        return v19
    }
    "#;

    // Choose the appropriate assertion based on the bug:
    let ssa = Ssa::from_str(src).unwrap();
    let result = ssa.mem2reg();
    // Then verify the result maintains correctness
}

Test approaches

  • Interpret before and after: Run the SSA interpreter on the SSA before and after the pass with the same inputs, and verify both produce the same result. This is a good general approach since optimization passes should preserve semantics.
  • assert_normalized_ssa_equals(src, expected) — Verifies exact SSA output after transformation
  • assert_ssa_does_not_change(src, pass_fn) — Verifies the pass doesn't modify the SSA (useful when a pass incorrectly removes instructions it shouldn't)

Using #[should_panic] for known bugs

If documenting a bug that hasn't been fixed yet, use #[should_panic(expected = "...")] with a specific expected string from the assertion. This:

  • Documents the bug exists
  • Causes the test to fail (alerting you) once the bug is fixed
  • Reminds you to convert it to a proper passing test

Common Failure Patterns

  • "Reference value loaded before it was first stored to": An optimization pass incorrectly removed a store instruction, leaving a reference uninitialized
  • Different return values: An optimization changed program semantics
  • Panic/crash: Invalid SSA was generated

Common Pitfalls

  • Do not pipe tee through head: Running | tee file.txt | head -50 truncates the file. Always let tee complete, then inspect the file separately.
  • Noir package names must use underscores: Use nargo new my_package, not my-package.
  • SSA parameters are positional: The first parameter becomes v0, second v1, etc. Map your Prover.toml inputs accordingly.

Other noir-ssa Commands

# List available SSA passes
noir-ssa list

# Parse and validate SSA (prints normalized form)
noir-ssa check --source-path file.ssa

# Transform SSA by applying passes
noir-ssa transform --source-path file.ssa --passes "Mem2Reg,Simplifying"

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.88%
按下载量换算95

Claude

28.46%
按下载量换算75

Cursor

18.84%
按下载量换算50

Gemini CLI

10.56%
按下载量换算28

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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