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irify-sast伊里弗·萨斯特

Agent Skill

irify-sast 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

588

周安装

24

GitHub Stars

2

下载量

190
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:irify-sast(伊里弗·萨斯特)
来源仓库:https://github.com/yaklang/irify-sast-skill
仓库路径:skills/irify-sast
安装命令:
npx skills add https://github.com/yaklang/irify-sast-skill --skill irify-sast
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/yaklang/irify-sast-skill --skill irify-sast

简介

irify-sast 用于查找、检索和筛选相关信息,适合快速定位候选结果。

  • 适用于需要根据关键词或任务场景从来源线索中筛选信息的场景。
  • 通过 npx skills add 命令安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否会触发联网或文件读写操作。
  • irify-sast 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

IRify SAST

Deep static analysis skill powered by IRify's SSA compiler and SyntaxFlow query engine.

Prerequisites

This skill requires the yaklang MCP server. Configure it in your agent's MCP settings:

# Codex: ~/.codex/config.toml
[mcp_servers.yaklang-ssa]
command = "yak"
args = ["mcp", "-t", "ssa"]
// Claude Code / Cursor / others
{ "command": "yak", "args": ["mcp", "-t", "ssa"] }

Workflow: Engine-First (sf → read → rg)

CRITICAL: Always follow the Engine-First funnel model. The SSA engine sees cross-procedure data flow across all files simultaneously — grep cannot. Do NOT use grep/rg to build a "candidate file pool" before querying. Instead, let the engine be your radar first.

Step 1: Compile (once per project, auto-cached)

ssa_compile(target="/path/to/project", language="java", program_name="MyProject")
→ full compilation, returns program_name

Auto Cache: If the program was already compiled and source files haven't changed, the engine returns [Cache Hit] instantly — no recompilation. Always provide a program_name to enable caching.

Step 2: Query — use SyntaxFlow as the global radar

Directly compose and execute SyntaxFlow rules against the compiled IR. Do NOT pre-scan with grep to find candidates.

ssa_query(program_name="MyProject", rule="<SyntaxFlow rule>")

The engine traverses the entire SSA graph in memory, crossing all file boundaries. One query covers what would take dozens of grep commands, with zero false positives on data flow.

Step 3: Read — use Read as the microscope

After ssa_query returns concrete file paths and line numbers, use Read to examine surrounding context (±20 lines). Verify whether the hit is real business code or dead/test code.

Step 4: Grep — use Grep/Glob only for non-code files

Use Grep/Glob only for content that the SSA engine does not process:

  • Configuration files (.yml, .xml, .properties, logback.xml)
  • Static resources, templates, build scripts
  • Quick name/path lookups when you already know the exact string

NEVER use Grep to search for data flow patterns in source code — that is what ssa_query is for.

Incremental Compile (when code changes)

ssa_compile(target="/path/to/project", language="java", base_program_name="MyProject")
→ only changed files recompiled, ProgramOverLay merges base + diff layers
→ returns NEW program_name for subsequent queries

IMPORTANT: Use base_program_name for incremental compilation. re_compile=true is a full recompile that discards all data — only use it to start completely fresh.

Self-Healing Query (auto-retry on syntax error)

When ssa_query returns a SyntaxFlow parsing error:

  1. DO NOT apologize to the user or ask for help
  2. Read the error message — it contains the exact parse error position and expected tokens
  3. Fix the SyntaxFlow rule based on the error
  4. Re-invoke ssa_query with the corrected rule
  5. Repeat up to 3 times before reporting failure
  6. If all retries fail, show the user: the original rule, each attempted fix, and the final error

Critical: Follow User Intent

DO NOT automatically construct source→sink vulnerability rules unless the user explicitly asks for vulnerability detection.

  • User asks "find user inputs" → write a source-only rule, list all input endpoints
  • User asks "find SQL injection" → write a source→sink taint rule
  • User asks "where does this value go" → write a forward trace (-->) rule
  • User asks "what calls this function" → write a call-site rule

Source-Only Query Examples (Java)

When the user asks about user inputs, HTTP endpoints, or controllable parameters:

// Find all Spring MVC controller handler methods
*Mapping.__ref__?{opcode: function} as $endpoints;
alert $endpoints;
// Find all user-controllable parameters in Spring controllers
*Mapping.__ref__?{opcode: function}<getFormalParams>?{opcode: param && !have: this} as $params;
alert $params;
// Find GetMapping vs PostMapping endpoints separately
GetMapping.__ref__?{opcode: function} as $getEndpoints;
PostMapping.__ref__?{opcode: function} as $postEndpoints;
alert $getEndpoints;
alert $postEndpoints;

Source→Sink Query Examples (only when user asks for vulnerability detection)

// RCE: trace user input to exec()
Runtime.getRuntime().exec(* #-> * as $source) as $sink;
alert $sink for {title: "RCE", level: "high"};
// SQL Injection (MyBatis): detect ${} unsafe interpolation in XML mappers / annotations
// <mybatisSink> is a dedicated NativeCall that finds all MyBatis ${} injection points
<mybatisSink> as $sink;
$sink#{
    until: `* & $source`,
}-> as $result;
alert $result for {title: "SQLi-MyBatis", level: "high"};

Proactive Security Insights

After running a query and finding results, proactively raise follow-up questions and suggestions. Do NOT just dump results and stop.

When vulnerabilities are found:

  1. Suggest fix: "This exec() call receives unsanitized user input. Consider using a whitelist or ProcessBuilder with explicit argument separation."
  2. Ask related questions:

- "Should I check if there are other endpoints that also call Runtime.exec()?" - "Want me to trace whether any input validation/sanitization exists between the source and sink?" - "Should I look for similar patterns in other controllers?"

  1. Cross-reference: If one vulnerability type is found, proactively scan for related types:

- Found RCE → "I also checked for SSRF and found 2 potential issues. Want details?"

When no results are found:

  1. Don't just say "no results" — explain WHY:

- "No direct exec() calls found, but I see ProcessBuilder usage. Want me to check those instead?" - "The query matched 0 sinks. This could mean the code uses a framework abstraction — want me to search for framework-specific patterns?"

  1. Suggest alternative queries

When results are ambiguous:

  1. Ask for clarification: "I found 8 data flow paths to executeQuery(), but 5 use parameterized queries (safe). Want me to filter to only the 3 using string concatenation?"

Companion Reference Files

When writing SyntaxFlow rules, read these files using the Read tool for syntax help and real-world examples:

FileWhen to ReadPath (relative to this file)
NativeCall ReferenceWhen writing rules that need <nativeCallName()> functions — all 40+ NativeCall functions with syntax and examplesnativecall-reference.md
SyntaxFlow ExamplesWhen writing new rules — 20+ production rules covering Java/Go/PHP/C, organized by vulnerability typesyntaxflow-examples.md

Workflow:

  1. Read syntaxflow-examples.md to find a similar rule pattern
  2. Need a NativeCall? Read nativecall-reference.md
  3. Compose and execute via ssa_query

SyntaxFlow Quick Reference

Search & Match

documentBuilder          // variable name
.parse                   // method name (dot prefix)
documentBuilder.parse    // chain
*config*                 // glob pattern
/(get[A-Z].*)/           // regex pattern

Function Call & Parameters

.exec()                           // match any call
.exec(* as $params)               // capture all params
.parse(*<slice(index=1)> as $a1)  // capture by index

Data Flow Operators

OperatorDirectionUse
#>Up 1 levelDirect definition
#->Up recursiveTrace to origin — "where does this COME FROM?"
->Down 1 levelDirect usage
-->Down recursiveTrace to final usage — "where does this GO TO?"
.exec(* #-> * as $source)            // trace param origin
$userInput --> as $sinks              // trace where value goes
$sink #{depth: 5}-> as $source       // depth-limited trace
$val #{
  include: `*?{opcode: const}`
}-> as $constSources                  // filter during trace
$sink #{
  until: `* & $source`,              // stop when reaching source
}-> as $reachable

Filters ?{...}

$vals?{opcode: call}                // by opcode: call/const/param/phi/function/return
$vals?{have: 'password'}            // by string content
$vals?{!opcode: const}              // negation
$vals?{opcode: call && have: 'sql'} // combined
$factory?{!(.setFeature)}           // method NOT called on value

Variable, Check & Alert

.exec() as $sink;                                      // assign
check $sink then "found" else "not found";             // assert
alert $sink for { title: "RCE", level: "high" };       // mark finding
$a + $b as $merged;                                    // union
$all - $safe as $vuln;                                 // difference

NativeCall (40+ built-in functions)

Most commonly used — see nativecall-reference.md for full list:

<include('rule-name')>         // import lib rule
<typeName()>                   // get short type name
<fullTypeName()>               // get full qualified type name
<getReturns>                   // function return values
<getFormalParams>              // function parameters
<getFunc>                      // enclosing function
<getCall>                      // find call sites
<getCallee>                    // get called function
<getObject>                    // parent object
<getMembers>                   // object members
<name>                         // get name
<slice(index=N)>               // extract by index
<mybatisSink>                  // MyBatis SQL injection sinks
<dataflow(include=`...`)>      // filter data flow paths

Tips

  1. #-> = "where does this come from?", --> = "where does this go?"
  2. Use * for params, don't hardcode names
  3. SSA resolves assignments: a = getRuntime(); a.exec(cmd) = getRuntime().exec(cmd)
  4. Use opcode filters to distinguish constants / parameters / calls
  5. Combine check + alert for actionable results
  6. After code changes, use base_program_name (not re_compile) for fast incremental updates
  7. Before writing a new rule, read syntaxflow-examples.md to find similar patterns
  8. When unsure about a NativeCall, read nativecall-reference.md for usage and examples

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

36.02%
按下载量换算68

Claude

28.49%
按下载量换算54

Cursor

17.64%
按下载量换算34

Gemini CLI

9.55%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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