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
Crawler Summary
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
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
Public facts
5
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. 23 GitHub stars reported by the source. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Miunasu
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
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
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Miunasu
Protocol compatibility
OpenClaw
Adoption signal
23 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
2
Snippets
0
Languages
typescript
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.pyFull documentation captured from public sources, including the complete README when available.
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
仅支持静态分析 - 禁止调试、执行任何二进制文件。
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)遵循自顶向下的分析策略:
利用以下信息辅助定位关键函数:
idautils.XrefsTo() 查找函数调用关系推荐工作流:
exec_ida.py 执行 IDAPython 代码片段ida_hexrays.decompile(ea)idautils.XrefsTo(ea) / idautils.XrefsFrom(ea)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:
正确做法:
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。
# 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
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ida_hexrays.decompile(ea) - 反编译函数,返回伪代码idautils.Strings() - 遍历字符串idc.get_strlit_contents(ea) - 获取字符串内容idautils.XrefsTo(ea) - 谁引用了这个地址idautils.XrefsFrom(ea) - 这个地址引用了谁ida_bytes.get_bytes(ea, size) - 读取字节ida_bytes.patch_bytes(ea, data) - 修改字节所有工具通过 exec_ida.py 执行,具体用法查询 TOOLS.md。
| 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 |
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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
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
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
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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.