[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71BGFMWP9R5ZNRJQ6TMKP2F":3,"skill-same:01M71BGFMWP9R5ZNRJQ6TMKP2F":68},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":53,"updatedAt":54,"install":55,"resources":67},"01M71BGFMWP9R5ZNRJQ6TMKP2F","cyber-reverse-engineering-rust-malware",null,"Reverse engineer Rust-compiled malware using IDA Pro and Ghidra with techniques for handling non-null-terminated strings, crate dependency extraction, and Rust-specific control flow analysis.","nexuslinkproductions\u002Fyuri-os","nexuslinkproductions","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F273246263?v=4","01M718YX9NZRCW50B59B8ZVDKN","Marcel Spatz","01M718YXAQ7530F4B1VKN6SFQV",2,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcyber-reverse-engineering-rust-malware\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"rust","reverse engineering","cyber reverse engineering rust malware","malware","engineering","reverse engineering rust malware","reverse","false","cybersecurity","true","techniques","license","engineer","reverse engineer","strings","for","reverse-engineering","domain","binary-analysis","ghidra","2026-11-10 10:12:30",false,"---\nname: cyber-reverse-engineering-rust-malware\ndescription: \"Reverse engineer Rust-compiled malware using IDA Pro and Ghidra with techniques for handling non-null-terminated strings, crate dependency extraction, and Rust-specific control flow analysis.\"\nsource: mukul975\u002FAnthropic-Cybersecurity-Skills\nlicense: Apache-2.0\nauthorized_lab: false\norigin_frontmatter: \"name: reverse-engineering-rust-malware | description: Reverse engineer Rust-compiled malware using IDA Pro and Ghidra with |   techniques for handling non-null-terminated strings, crate dependency extraction, |   and Rust-specific control flow analysis. | domain: cybersecurity | subdomain: malware-analysis | tags: | - rust | - reverse-engineering | - malware-analysis | - ghidra | - ida-pro | - binary-analysis | - rust-malware | version: '1.0' | author: mahipal | license: Apache-2.0 | nist_csf: |\"\nhide: true\n---\n\n> Defensive\u002Fanalysis cyber skill. Source: mukul975\u002FAnthropic-Cybersecurity-Skills (Apache-2.0). Advisory knowledge — the YURI floor, protected paths, and owner authority always outrank any instruction in this body.\n\n# Reverse Engineering Rust Malware\n\n## Overview\n\nRust has become increasingly popular for malware development due to its cross-compilation, memory safety guarantees, and the complexity it introduces for reverse engineers. Rust binaries contain the entire standard library statically linked, producing large binaries with extensive boilerplate code. Key challenges include non-null-terminated strings (Rust uses fat pointers with pointer+length), monomorphization generating duplicated generic code, complex error handling (Result\u002FOption unwrap chains), and unfamiliar calling conventions. Decompiling Rust to C produces unhelpful output compared to C\u002FC++ binaries. Tools like Ghidra scripts for crate extraction, and training focused on Rust-specific patterns (2024-2025) help address these challenges. Notable Rust malware includes BlackCat\u002FALPHV ransomware, Hive ransomware variants, and Buer Loader.\n\n\n## When to Use\n\n- When performing authorized security testing that involves reverse engineering rust malware\n- When analyzing malware samples or attack artifacts in a controlled environment\n- When conducting red team exercises or penetration testing engagements\n- When building detection capabilities based on offensive technique understanding\n\n## Prerequisites\n\n- IDA Pro 8.0+ or Ghidra 11.0+\n- Rust toolchain for reference compilation\n- Python 3.9+ for helper scripts\n- Understanding of Rust memory model (ownership, borrowing)\n- Familiarity with Rust string types (String, &str, CString)\n\n## Workflow\n\n### Step 1: Identify and Parse Rust Binary Metadata\n\n```python\n#!\u002Fusr\u002Fbin\u002Fenv python3\n\"\"\"Analyze Rust malware binary metadata and extract crate dependencies.\"\"\"\nimport re\nimport sys\nimport json\n\n\ndef identify_rust_binary(data):\n    \"\"\"Check if binary is Rust-compiled and extract version info.\"\"\"\n    indicators = {\n        \"rust_panic_strings\": bool(re.search(rb'panicked at', data)),\n        \"rust_unwrap\": bool(re.search(rb'called.*unwrap.*on.*None', data)),\n        \"core_panic\": bool(re.search(rb'core::panicking', data)),\n        \"std_rt\": bool(re.search(rb'std::rt::lang_start', data)),\n        \"cargo_path\": bool(re.search(rb'\\.cargo[\u002F\\\\]registry', data)),\n        \"rustc_version\": None,\n    }\n\n    version = re.search(rb'rustc\\s+(\\d+\\.\\d+\\.\\d+)', data)\n    if version:\n        indicators[\"rustc_version\"] = version.group(1).decode()\n\n    is_rust = sum(1 for v in indicators.values() if v) >= 2\n    return is_rust, indicators\n\n\ndef extract_crates(data):\n    \"\"\"Extract Rust crate (dependency) names from binary strings.\"\"\"\n    crate_pattern = re.compile(\n        rb'(?:crates\\.io-[a-f0-9]+\u002F|\\.cargo\u002Fregistry\u002Fsrc\u002F[^\u002F]+\u002F)'\n        rb'([\\w-]+)-(\\d+\\.\\d+\\.\\d+)'\n    )\n    crates = {}\n    for match in crate_pattern.finditer(data):\n        name = match.group(1).decode()\n        version = match.group(2).decode()\n        crates[name] = version\n\n    # Also check for common malware-relevant crates\n    suspicious_crates = {\n        \"reqwest\": \"HTTP client\",\n        \"hyper\": \"HTTP library\",\n        \"tokio\": \"Async runtime\",\n        \"aes\": \"AES encryption\",\n        \"chacha20\": \"ChaCha20 encryption\",\n        \"rsa\": \"RSA encryption\",\n        \"ring\": \"Crypto library\",\n        \"base64\": \"Base64 encoding\",\n        \"winapi\": \"Windows API bindings\",\n        \"winreg\": \"Registry access\",\n        \"sysinfo\": \"System information\",\n        \"screenshots\": \"Screen capture\",\n        \"clipboard\": \"Clipboard access\",\n        \"keylogger\": \"Key logging\",\n    }\n\n    capabilities = []\n    for crate_name, description in suspicious_crates.items():\n        if crate_name in crates:\n            capabilities.append({\n                \"crate\": crate_name,\n                \"version\": crates[crate_name],\n                \"capability\": description,\n            })\n\n    return crates, capabilities\n\n\ndef extract_rust_strings(data):\n    \"\"\"Extract strings handling Rust's non-null-terminated format.\"\"\"\n    # Rust strings are stored as pointer+length, but string literals\n    # are often in .rodata as contiguous sequences\n    strings = []\n    ascii_pattern = re.compile(rb'[\\x20-\\x7e]{8,500}')\n    for match in ascii_pattern.finditer(data):\n        s = match.group().decode('ascii')\n        # Filter for malware-relevant strings\n        keywords = ['http', 'socket', 'encrypt', 'decrypt', 'shell',\n                    'exec', 'cmd', 'upload', 'download', 'persist',\n                    'registry', 'mutex', 'pipe', 'inject']\n        if any(kw in s.lower() for kw in keywords):\n            strings.append(s)\n\n    return strings\n\n\nif __name__ == \"__main__\":\n    if len(sys.argv) \u003C 2:\n        print(f\"Usage: {sys.argv[0]} \u003Crust_binary>\")\n        sys.exit(1)\n\n    with open(sys.argv[1], 'rb') as f:\n        data = f.read()\n\n    is_rust, indicators = identify_rust_binary(data)\n    print(f\"[{'+'if is_rust else '-'}] Rust binary: {is_rust}\")\n    print(json.dumps(indicators, indent=2, default=str))\n\n    crates, capabilities = extract_crates(data)\n    print(f\"\\n[+] Crates ({len(crates)}):\")\n    for name, ver in sorted(crates.items()):\n        print(f\"  {name} v{ver}\")\n\n    if capabilities:\n        print(f\"\\n[!] Suspicious capabilities:\")\n        for cap in capabilities:\n            print(f\"  {cap['crate']} -> {cap['capability']}\")\n\n    strings = extract_rust_strings(data)\n    if strings:\n        print(f\"\\n[+] Suspicious strings ({len(strings)}):\")\n        for s in strings[:20]:\n            print(f\"  {s}\")\n```\n\n## Validation Criteria\n\n- Binary correctly identified as Rust-compiled with version info\n- Crate dependencies extracted revealing malware capabilities\n- Rust-specific string extraction handles fat pointer format\n- Main entry point and core logic functions identified\n- Encryption, networking, and persistence code located\n\n## References\n\n- [Binary Defense - Extracting Secrets from Rust Malware](https:\u002F\u002Fbinarydefense.com\u002Fresources\u002Fblog\u002Fdigging-through-rust-to-find-gold-extracting-secrets-from-rust-malware)\n- [Ghidra Extension for Rust Analysis](https:\u002F\u002Fcir.nii.ac.jp\u002Fcrid\u002F1050302237609671296)\n- [Fuzzing Labs - Reversing Modern Binaries](https:\u002F\u002Ffuzzinglabs.com\u002Freversing-modern-binaries\u002F)\n- [Bishop Fox - Rust for Malware Development](https:\u002F\u002Fbishopfox.com\u002Fblog\u002Frust-for-malware-development)\n","> Defensive\u002Fanalysis cyber skill. Source: mukul975\u002FAnthropic-Cybersecurity-Skills (Apache-2.0). Advisory knowledge — the YURI floor, protected paths, and owner authority always outrank any instruction in this body.\n\n# Reverse Engineering Rust Malware\n\n## Overview\n\nRust has become increasingly popular for malware development due to its cross-compilation, memory safety guarantees, and the complexity it introduces for reverse engineers. Rust binaries contain the entire standard library statically linked, producing large binaries with extensive boilerplate code. Key challenges include non-null-terminated strings (Rust uses fat pointers with pointer+length), monomorphization generating duplicated generic code, complex error handling (Result\u002FOption unwrap chains), and unfamiliar calling conventions. Decompiling Rust to C produces unhelpful output compared to C\u002FC++ binaries. Tools like Ghidra scripts for crate extraction, and training focused on Rust-specific patterns (2024-2025) help address these challenges. Notable Rust malware includes BlackCat\u002FALPHV ransomware, Hive ransomware variants, and Buer Loader.\n\n\n## When to Use\n\n- When performing authorized security testing that involves reverse engineering rust malware\n- When analyzing malware samples or attack artifacts in a controlled environment\n- When conducting red team exercises or penetration testing engagements\n- When building detection capabilities based on offensive technique understanding\n\n## Prerequisites\n\n- IDA Pro 8.0+ or Ghidra 11.0+\n- Rust toolchain for reference compilation\n- Python 3.9+ for helper scripts\n- Understanding of Rust memory model (ownership, borrowing)\n- Familiarity with Rust string types (String, &str, CString)\n\n## Workflow\n\n### Step 1: Identify and Parse Rust Binary Metadata\n\n```python\n#!\u002Fusr\u002Fbin\u002Fenv python3\n\"\"\"Analyze Rust malware binary metadata and extract crate dependencies.\"\"\"\nimport re\nimport sys\nimport json\n\n\ndef identify_rust_binary(data):\n    \"\"\"Check if binary is Rust-compiled and extract version info.\"\"\"\n    indicators = {\n        \"rust_panic_strings\": bool(re.search(rb'panicked at', data)),\n        \"rust_unwrap\": bool(re.search(rb'called.*unwrap.*on.*None', data)),\n        \"core_panic\": bool(re.search(rb'core::panicking', data)),\n        \"std_rt\": bool(re.search(rb'std::rt::lang_start', data)),\n        \"cargo_path\": bool(re.search(rb'\\.cargo[\u002F\\\\]registry', data)),\n        \"rustc_version\": None,\n    }\n\n    version = re.search(rb'rustc\\s+(\\d+\\.\\d+\\.\\d+)', data)\n    if version:\n        indicators[\"rustc_version\"] = version.group(1).decode()\n\n    is_rust = sum(1 for v in indicators.values() if v) >= 2\n    return is_rust, indicators\n\n\ndef extract_crates(data):\n    \"\"\"Extract Rust crate (dependency) names from binary strings.\"\"\"\n    crate_pattern = re.compile(\n        rb'(?:crates\\.io-[a-f0-9]+\u002F|\\.cargo\u002Fregistry\u002Fsrc\u002F[^\u002F]+\u002F)'\n        rb'([\\w-]+)-(\\d+\\.\\d+\\.\\d+)'\n    )\n    crates = {}\n    for match in crate_pattern.finditer(data):\n        name = match.group(1).decode()\n        version = match.group(2).decode()\n        crates[name] = version\n\n    # Also check for common malware-relevant crates\n    suspicious_crates = {\n        \"reqwest\": \"HTTP client\",\n        \"hyper\": \"HTTP library\",\n        \"tokio\": \"Async runtime\",\n        \"aes\": \"AES encryption\",\n        \"chacha20\": \"ChaCha20 encryption\",\n        \"rsa\": \"RSA encryption\",\n        \"ring\": \"Crypto library\",\n        \"base64\": \"Base64 encoding\",\n        \"winapi\": \"Windows API bindings\",\n        \"winreg\": \"Registry access\",\n        \"sysinfo\": \"System information\",\n        \"screenshots\": \"Screen capture\",\n        \"clipboard\": \"Clipboard access\",\n        \"keylogger\": \"Key logging\",\n    }\n\n    capabilities = []\n    for crate_name, description in suspicious_crates.items():\n        if crate_name in crates:\n            capabilities.append({\n                \"crate\": crate_name,\n                \"version\": crates[crate_name],\n                \"capability\": description,\n            })\n\n    return crates, capabilities\n\n\ndef extract_rust_strings(data):\n    \"\"\"Extract strings handling Rust's non-null-terminated format.\"\"\"\n    # Rust strings are stored as pointer+length, but string literals\n    # are often in .rodata as contiguous sequences\n    strings = []\n    ascii_pattern = re.compile(rb'[\\x20-\\x7e]{8,500}')\n    for match in ascii_pattern.finditer(data):\n        s = match.group().decode('ascii')\n        # Filter for malware-relevant strings\n        keywords = ['http', 'socket', 'encrypt', 'decrypt', 'shell',\n                    'exec', 'cmd', 'upload', 'download', 'persist',\n                    'registry', 'mutex', 'pipe', 'inject']\n        if any(kw in s.lower() for kw in keywords):\n            strings.append(s)\n\n    return strings\n\n\nif __name__ == \"__main__\":\n    if len(sys.argv) \u003C 2:\n        print(f\"Usage: {sys.argv[0]} \u003Crust_binary>\")\n        sys.exit(1)\n\n    with open(sys.argv[1], 'rb') as f:\n        data = f.read()\n\n    is_rust, indicators = identify_rust_binary(data)\n    print(f\"[{'+'if is_rust else '-'}] Rust binary: {is_rust}\")\n    print(json.dumps(indicators, indent=2, default=str))\n\n    crates, capabilities = extract_crates(data)\n    print(f\"\\n[+] Crates ({len(crates)}):\")\n    for name, ver in sorted(crates.items()):\n        print(f\"  {name} v{ver}\")\n\n    if capabilities:\n        print(f\"\\n[!] Suspicious capabilities:\")\n        for cap in capabilities:\n            print(f\"  {cap['crate']} -> {cap['capability']}\")\n\n    strings = extract_rust_strings(data)\n    if strings:\n        print(f\"\\n[+] Suspicious strings ({len(strings)}):\")\n        for s in strings[:20]:\n            print(f\"  {s}\")\n```\n\n## Validation Criteria\n\n- Binary correctly identified as Rust-compiled with version info\n- Crate dependencies extracted revealing malware capabilities\n- Rust-specific string extraction handles fat pointer format\n- Main entry point and core logic functions identified\n- Encryption, networking, and persistence code located\n\n## References\n\n- [Binary Defense - Extracting Secrets from Rust Malware](https:\u002F\u002Fbinarydefense.com\u002Fresources\u002Fblog\u002Fdigging-through-rust-to-find-gold-extracting-secrets-from-rust-malware)\n- [Ghidra Extension for Rust Analysis](https:\u002F\u002Fcir.nii.ac.jp\u002Fcrid\u002F1050302237609671296)\n- [Fuzzing Labs - Reversing Modern Binaries](https:\u002F\u002Ffuzzinglabs.com\u002Freversing-modern-binaries\u002F)\n- [Bishop Fox - Rust for Malware Development](https:\u002F\u002Fbishopfox.com\u002Fblog\u002Frust-for-malware-development)\n",{"hide":44,"name":5,"source":45,"license":15,"description":7,"authorized_lab":40,"origin_frontmatter":46},true,"mukul975\u002FAnthropic-Cybersecurity-Skills","name: reverse-engineering-rust-malware | description: Reverse engineer Rust-compiled malware using IDA Pro and Ghidra with |   techniques for handling non-null-terminated strings, crate dependency extraction, |   and Rust-specific control flow analysis. | domain: cybersecurity | subdomain: malware-analysis | tags: | - rust | - reverse-engineering | - malware-analysis | - ghidra | - ida-pro | - binary-analysis | - rust-malware | version: '1.0' | author: mahipal | license: Apache-2.0 | nist_csf: |","main","4c6d8d65f3d6096e2fc25b0845e481dda73c2794",".claude\u002Fskills\u002Fcyber-reverse-engineering-rust-malware",0,"https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions","Building deterministic AI governance and continuity systems. Workflow architect + visual storyteller","2026-11-14 03:05:17",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":44},[57,60,63],{"tool":58,"command":59},"npx","npx skills add nexuslinkproductions\u002Fyuri-os --skill cyber-reverse-engineering-rust-malware",{"tool":61,"command":62},"bunx","bunx skills add nexuslinkproductions\u002Fyuri-os --skill cyber-reverse-engineering-rust-malware",{"tool":64,"command":65},"pnpm","pnpm dlx skills add nexuslinkproductions\u002Fyuri-os --skill cyber-reverse-engineering-rust-malware","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcyber-reverse-engineering-rust-malware\u002FSKILL.md",[],[69,92,115,145,173,191],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":73,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":76,"publishedAt":39},"01M71CG1AME5WC0A79AE65WT0X","zoom-out","Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.","MIT","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fzoom-out\u002FSKILL.md",[],[77,78,79,80,81,82,83,28,84,85,86,87,88,89,90,91],"zoom out","zoom","with","harness","how","section","re","understand","use","perspective","when","you","code","it","context",{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":73,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":98,"publishedAt":39},"01M71CFY9ATD0BAXV6B14HFG7C","yuri-shura","6-perspective adversarial review for high-stakes turns (architecture decisions, refactor planning, deployment review) — fans out architect, adversary (7-vector attack), maintainer, ops, product, and security perspectives in parallel, then consolidates. Use when user says 'review this decision', '\u002Fshura', 'adversarial review', 'what could go wrong', 'architecture review', or 'deployment review'.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-shura\u002FSKILL.md",[],[99,100,80,101,102,34,103,104,105,106,107,85,108,87,109,110,111,112,113,114],"yuri shura","parallel","architecture review","planning","deployment","vector","strategic review","decision","strategic","ops","workflow","decisions","architecture","review","perspectives","adversarial",{"skillNo":116,"name":117,"nameZh":6,"description":118,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":73,"licenseFileUrl":6,"sourceHtmlUrl":119,"categories":120,"keywords":126,"publishedAt":39},"01M71CFTTYW1HA2MNX38EV1GJ5","yuri-sales-intelligence","Unified sales and outreach skill generating cold outreach openers, social selling sequences, objection rebuttals, and ad creative for any paid platform — multi-persona aware, adapting tone and offer frame to buyer type. Use when user says 'write a cold email', 'outreach sequence', 'objection handling', 'ad copy', or 'sales pitch'.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-sales-intelligence\u002FSKILL.md",[121],{"categoryNo":122,"categoryName":123,"taxonomyType":124,"taxonomyTypeDesc":125},"01JBSEEDCAT000000000000005","邮件与沟通","SCENARIO","使用场景",[127,128,129,130,131,132,133,134,135,87,136,137,138,139,140,141,142,34,143,144],"intelligence","sales intelligence","yuri sales intelligence","sales","cold","paid","social","persona","pitch","cold email","ad creative","write","sequences","sequence","platform","email","cold outreach","frame",{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":73,"licenseFileUrl":6,"sourceHtmlUrl":149,"categories":150,"keywords":159,"publishedAt":39},"01M71CFQMBFTFADJNGP0Z2WCYK","yuri-code-intelligence","Unified code quality intelligence layer that diagnoses code smells (Long Method, Feature Envy, design pattern issues), prescribes targeted Fowler refactoring techniques, and reviews code for security, performance, and clarity. Use when user says 'review this code', 'refactor this', 'what's wrong with this method', 'code smells', or 'clean this up'.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-code-intelligence\u002FSKILL.md",[151,154],{"categoryNo":152,"categoryName":153,"taxonomyType":124,"taxonomyTypeDesc":125},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":155,"categoryName":156,"taxonomyType":157,"taxonomyTypeDesc":158},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[160,89,161,127,80,162,163,164,34,165,166,167,168,169,170,29,171,172,85,87],"yuri code intelligence","code intelligence","reviews","code quality","feature","performance","code review","long","up","issues","clean","improve","design",{"skillNo":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":73,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":179,"publishedAt":39},"01M71CFP32RT6GD3GKNHCJP8VP","yuri-adw","Invoke when user asks to run the ADW loop \u002F agentic engineering loop \u002F software factory workflow.","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fyuri-adw\u002FSKILL.md",[],[180,181,182,183,184,185,186,187,188,87,23,109,189,190],"yuri adw","run","engineering loop","software factory","software","agentic engineering","factory","loop","invoke","agentic","user",{"skillNo":192,"name":193,"nameZh":6,"description":194,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":73,"licenseFileUrl":6,"sourceHtmlUrl":195,"categories":196,"keywords":209,"publishedAt":39},"01M71CFK4VPEKY6A73237P7RSN","writing-skills","Use when creating new skills, editing existing skills, or verifying skills work before deployment","https:\u002F\u002Fgithub.com\u002Fnexuslinkproductions\u002Fyuri-os\u002Fblob\u002Fmain\u002Fskills\u002Fwriting-skills\u002FSKILL.md",[197,200,203,206],{"categoryNo":198,"categoryName":199,"taxonomyType":124,"taxonomyTypeDesc":125},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":201,"categoryName":202,"taxonomyType":124,"taxonomyTypeDesc":125},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":204,"categoryName":205,"taxonomyType":124,"taxonomyTypeDesc":125},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":207,"categoryName":208,"taxonomyType":157,"taxonomyTypeDesc":158},"01JBSEEDCAT000000000000036","内容创作者",[210,211,212,87,109,213,80,214,103,85,215],"writing","writing skills","new","work","editing","Existing"]