Crawler Summary

IDA-Skill answer-first brief

IDA Pro 逆向分析。通过 IDAPython 脚本获取反汇编、反编译、字符串、导入表、交叉引用等信息。 --- name: IDA-Skill description: IDA Pro 逆向分析。通过 IDAPython 脚本获取反汇编、反编译、字符串、导入表、交叉引用等信息。 --- IDA Pro 逆向分析 安全规则 **仅支持静态分析** - 禁止调试、执行任何二进制文件。 快速开始:初始化分析 对新样本进行初始化分析,自动生成 i64 数据库并提取所有基础信息: 示例: 输出文件: - analysis.txt - 基本信息 + 导出表 + OEP反编译 - imports.txt - 导入表 - strings_use_subagent_to_analyse.txt - 字符串(按编码分类,已过滤噪点) 分析方法论 分析流程 遵循自顶向下的分析策略: 1. **入口点分析** - 从 OEP (Original Entry Point) 开始 2. **主函数定位** - 识别程序主逻辑入口(main/WinMain/D Capability contract not published. No trust telemetry is available yet. 23 GitHub stars reported by the source. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

IDA-Skill is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Claim this agent
Agent DossierGITHUB REPOSSafety: 89/100

IDA-Skill

IDA Pro 逆向分析。通过 IDAPython 脚本获取反汇编、反编译、字符串、导入表、交叉引用等信息。 --- name: IDA-Skill description: IDA Pro 逆向分析。通过 IDAPython 脚本获取反汇编、反编译、字符串、导入表、交叉引用等信息。 --- IDA Pro 逆向分析 安全规则 **仅支持静态分析** - 禁止调试、执行任何二进制文件。 快速开始:初始化分析 对新样本进行初始化分析,自动生成 i64 数据库并提取所有基础信息: 示例: 输出文件: - analysis.txt - 基本信息 + 导出表 + OEP反编译 - imports.txt - 导入表 - strings_use_subagent_to_analyse.txt - 字符串(按编码分类,已过滤噪点) 分析方法论 分析流程 遵循自顶向下的分析策略: 1. **入口点分析** - 从 OEP (Original Entry Point) 开始 2. **主函数定位** - 识别程序主逻辑入口(main/WinMain/D

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals23 GitHub stars

Capability contract not published. No trust telemetry is available yet. 23 GitHub stars reported by the source. Last updated 2/25/2026.

23 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Miunasu

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 23 GitHub stars reported by the source. Last updated 2/25/2026.

Setup snapshot

  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Miunasu

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 25, 2026Source linkProvenance
Adoption (1)

Adoption signal

23 GitHub stars

profilemedium
Observed Feb 25, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

2

Snippets

0

Languages

typescript

Executable Examples

cmd

python IDA-Skill/tools/init_analysis.py target.exe
python IDA-Skill/tools/init_analysis.py target.exe ./result

cmd

# 1. 执行代码
python IDA-Skill/tools/exec_ida.py target.i64 --code "print('Entry Point:', hex(idc.get_inf_attr(idc.INF_START_EA)))"

# 2. 执行脚本文件
python IDA-Skill/tools/exec_ida.py target.i64 --file analyze.py

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

IDA Pro 逆向分析。通过 IDAPython 脚本获取反汇编、反编译、字符串、导入表、交叉引用等信息。 --- name: IDA-Skill description: IDA Pro 逆向分析。通过 IDAPython 脚本获取反汇编、反编译、字符串、导入表、交叉引用等信息。 --- IDA Pro 逆向分析 安全规则 **仅支持静态分析** - 禁止调试、执行任何二进制文件。 快速开始:初始化分析 对新样本进行初始化分析,自动生成 i64 数据库并提取所有基础信息: 示例: 输出文件: - analysis.txt - 基本信息 + 导出表 + OEP反编译 - imports.txt - 导入表 - strings_use_subagent_to_analyse.txt - 字符串(按编码分类,已过滤噪点) 分析方法论 分析流程 遵循自顶向下的分析策略: 1. **入口点分析** - 从 OEP (Original Entry Point) 开始 2. **主函数定位** - 识别程序主逻辑入口(main/WinMain/D

Full README

name: IDA-Skill description: IDA Pro 逆向分析。通过 IDAPython 脚本获取反汇编、反编译、字符串、导入表、交叉引用等信息。

IDA Pro 逆向分析

安全规则

仅支持静态分析 - 禁止调试、执行任何二进制文件。

快速开始:初始化分析

对新样本进行初始化分析,自动生成 i64 数据库并提取所有基础信息:

示例:

python IDA-Skill/tools/init_analysis.py target.exe
python IDA-Skill/tools/init_analysis.py target.exe ./result

输出文件:

  • analysis.txt - 基本信息 + 导出表 + OEP反编译
  • imports.txt - 导入表
  • strings_use_subagent_to_analyse.txt - 字符串(按编码分类,已过滤噪点)

分析方法论

分析流程

遵循自顶向下的分析策略:

  1. 入口点分析 - 从 OEP (Original Entry Point) 开始
  2. 主函数定位 - 识别程序主逻辑入口(main/WinMain/DllMain)
  3. 功能函数追踪 - 深入关键功能函数进行详细分析

寻找关键函数的线索

利用以下信息辅助定位关键函数:

  • 导入表 (imports.txt) - 查看调用的系统 API,推断功能(如网络、加密、文件操作)
  • 导出表 (analysis.txt) - DLL 的对外接口,通常是核心功能
  • 字符串引用 - 通过字符串内容反向定位使用它的函数
  • 交叉引用 - 使用 idautils.XrefsTo() 查找函数调用关系
  • 思维发散 - 使用 IDAPython 获取任何你想知道的线索来辅助分析

使用 IDAPython 进行分析

推荐工作流:

  1. 使用 exec_ida.py 执行 IDAPython 代码片段
  2. 查看函数反编译结果:ida_hexrays.decompile(ea)
  3. 追踪函数调用:idautils.XrefsTo(ea) / idautils.XrefsFrom(ea)
  4. 分析数据引用:查找字符串、常量的使用位置

字符串分析 - 重要规则

禁止直接读取 strings_use_subagent_to_analyse.txt!

strings_use_subagent_to_analyse.txt 文件通常包含数千行字符串,直接读取会:

  • 消耗大量 token(可能超过上下文限制)
  • 导致响应缓慢
  • 无法有效提取有价值信息

正确做法:

  1. 使用子 Agent 分析
  2. 或使用 grep 精确搜索
  3. 或使用 IDAPython 定向查询

分析输出要求

  • 记录关键函数的地址、名称和功能
  • 说明函数之间的调用关系
  • 标注可疑或重要的代码逻辑
  • 如涉及加密/混淆,尝试识别算法并提取密钥

执行 IDAPython 代码

初始化分析后,使用 exec_ida.py 对 i64 数据库执行 IDAPython 代码进行深入分析。

示例

# 1. 执行代码
python IDA-Skill/tools/exec_ida.py target.i64 --code "print('Entry Point:', hex(idc.get_inf_attr(idc.INF_START_EA)))"

# 2. 执行脚本文件
python IDA-Skill/tools/exec_ida.py target.i64 --file analyze.py

API 快速参考

函数操作

  • idautils.Functions() - 遍历所有函数
  • idc.get_func_name(ea) - 获取函数名
  • ida_funcs.get_func(ea) - 获取函数对象
  • idc.set_name(ea, name) - 重命名

反编译

  • ida_hexrays.decompile(ea) - 反编译函数,返回伪代码

字符串

  • idautils.Strings() - 遍历字符串
  • idc.get_strlit_contents(ea) - 获取字符串内容

交叉引用

  • idautils.XrefsTo(ea) - 谁引用了这个地址
  • idautils.XrefsFrom(ea) - 这个地址引用了谁

字节操作

  • ida_bytes.get_bytes(ea, size) - 读取字节
  • ida_bytes.patch_bytes(ea, data) - 修改字节

内置工具

所有工具通过 exec_ida.py 执行,具体用法查询 TOOLS.md。

  • reai.py - 使用 LLM 分析函数语义,支持递归分析调用链
  • findcrypt.py - 通过特征常量识别加密算法(AES, DES, RC4, MD5, SHA1, SHA256, CRC32, Base64 等)
  • mkyara.py - 从代码范围生成 YARA 检测规则
  • export_check.py - 分析 DLL/EXE 的导出函数大小,小字节导出函数序列出现大字节导出函数,需要重点分析

分析方法文档

| 分析目标 | 推荐文档 | |---------|---------| | 分析恶意样本 | 恶意软件分析 | | 挖掘安全漏洞 | 漏洞分析 | | 还原通信协议 | 协议逆向 | | 识别加密算法 | 算法还原 | | 处理混淆代码 | 反混淆 | | 分析内核驱动 | 驱动分析 | | 逆向嵌入式固件 | 固件分析 | | 游戏外挂分析 | 游戏逆向 | | 移动应用逆向 | 移动应用分析 | | 识别第三方库 | 静态库/SDK 分析 | | 基础操作技巧 | 通用技巧 |

相关文档

  • TOOLS.md - 内置工具参考
  • API.md - IDAPYTHON API 索引
  • docs/ - 完整 IDAPYTHON API 参考

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/miunasu-ida-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/miunasu-ida-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/miunasu-ida-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/miunasu-ida-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/miunasu-ida-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/miunasu-ida-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/miunasu-ida-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/miunasu-ida-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/miunasu-ida-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-04-16T23:30:18.582Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Miunasu",
    "href": "https://github.com/miunasu/IDA-Skill",
    "sourceUrl": "https://github.com/miunasu/IDA-Skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T04:19:46.581Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/miunasu-ida-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/miunasu-ida-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T04:19:46.581Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "23 GitHub stars",
    "href": "https://github.com/miunasu/IDA-Skill",
    "sourceUrl": "https://github.com/miunasu/IDA-Skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T04:19:46.581Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/miunasu-ida-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/miunasu-ida-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to IDA-Skill and adjacent AI workflows.