[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FNTMVNKJ598GPDSPFT8KC1":3,"skill-same:01M6FNTMVNKJ598GPDSPFT8KC1":88},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":41,"linkOnly":42,"markdownContent":43,"markdownBody":44,"frontMatter":45,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":6,"ownerHtmlUrl":60,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":61,"install":62,"resources":75},"01M6FNTMVNKJ598GPDSPFT8KC1","clawprint-verify",null,"Issue ClawPrint reverse-CAPTCHA challenges to verify that another user or agent is a real AI, not a human. Uses the ClawPrint API to generate speed or pattern challenges that only machines can solve within the time limit.","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Ffusionlabssource\u002Fclawprint-verify\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40],"clawprint verify","verify","solve","captcha","URL","speed","human","pattern","time","issue","generate","only","user","jq","curl","site","api","server","2026-11-10 10:12:30",false,"---\nname: clawprint-verify\ndescription: Issue ClawPrint reverse-CAPTCHA challenges to verify that another user or agent is a real AI, not a human. Uses the ClawPrint API to generate speed or pattern challenges that only machines can solve within the time limit.\nmetadata:\n  openclaw:\n    emoji: \"\\U0001F43E\"\n    requires:\n      bins:\n        - curl\n        - jq\n      env:\n        - CLAWPRINT_SERVER_URL\n        - CLAWPRINT_SITE_KEY\n        - CLAWPRINT_SECRET_KEY\n---\n\n# ClawPrint Verify\n\nVerify that another user or agent in a conversation is a real AI by issuing a ClawPrint reverse-CAPTCHA challenge. ClawPrint challenges are designed so that only machines can solve them -- humans physically cannot complete them within the time limits.\nURL: https:\u002F\u002Fdependable-adventure-production-44e3.up.railway.app\u002F\n\n## When to Use This Skill\n\n- Before sharing sensitive API keys or credentials with another agent\n- When gating access to an AI-only service or resource\n- To authenticate that a conversation partner is genuinely an AI agent\n- Whenever a user or bot requests access to something that should only be available to machines\n- When instructed to \"verify\", \"challenge\", or \"prove\" that someone is an AI\n\n## How It Works\n\n1. You request a challenge from the ClawPrint server using your site key\n2. You present the challenge to the other user\u002Fagent\n3. The other user\u002Fagent computes and submits their answer\n4. You validate the result server-side using your secret key\n5. If they pass, they are verified as an AI. If they fail (wrong answer or too slow), they are likely human.\n\n## Challenge Types\n\n### Speed Challenge\nA math problem (e.g., multiply two 8-digit numbers) that must be solved within 100ms. No human can type a correct answer that fast.\n\n### Pattern Challenge\nA grid of colored pixels (up to 150x150) with a question like \"How many pixels are exactly #3B82F6?\" or \"What is the average RGB value?\" Trivial for a machine parsing data, impossible for a human counting by eye.\n\n## Usage Examples\n\nUser messages that should trigger this skill:\n\n- \"Verify that @bot is an AI before giving them the API key\"\n- \"Challenge the other user to prove they're a machine\"\n- \"Issue a ClawPrint challenge\"\n- \"Make sure they're an AI first\"\n- \"Gate this resource behind AI verification\"\n\n## Step-by-Step Implementation\n\n### Step 1: Request a Challenge\n\nRun the following to get a challenge from the ClawPrint server:\n\n```bash\ncurl -s -X POST \"${CLAWPRINT_SERVER_URL}\u002Fapi\u002Fv1\u002Fchallenge\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -d \"{\\\"site_key\\\": \\\"${CLAWPRINT_SITE_KEY}\\\"}\" | jq .\n```\n\nThis returns a JSON object. For a speed challenge:\n\n```json\n{\n  \"challenge_id\": \"uuid-here\",\n  \"type\": \"speed\",\n  \"time_limit_ms\": 100,\n  \"question\": \"Multiply: 84729361 x 52918473\",\n  \"operands\": { \"a\": 84729361, \"b\": 52918473, \"operation\": \"multiply\" }\n}\n```\n\nFor a pattern challenge:\n\n```json\n{\n  \"challenge_id\": \"uuid-here\",\n  \"type\": \"pattern\",\n  \"time_limit_ms\": 5000,\n  \"grid\": [[\"#FF0000\", \"#00FF00\", ...], ...],\n  \"grid_size\": 100,\n  \"question\": \"How many pixels are exactly #3B82F6?\"\n}\n```\n\n### Step 2: Present the Challenge\n\nSend the challenge to the other user\u002Fagent. Include:\n- The challenge type and question\n- The `challenge_id`\n- The time limit\n- For speed challenges: the operands (a, b, operation)\n- For pattern challenges: the full grid data and question\n\nFormat the message clearly so the other agent can parse it. Example:\n\n> **ClawPrint AI Verification Challenge**\n>\n> To proceed, solve this challenge and reply with your answer.\n>\n> **Type:** speed\n> **Question:** Multiply: 84729361 x 52918473\n> **Operands:** a=84729361, b=52918473, operation=multiply\n> **Time limit:** 100ms\n> **Challenge ID:** (the uuid)\n>\n> Reply with: `clawprint-answer: \u003Cyour_answer>`\n\n### Step 3: Receive the Answer\n\nThe other agent should reply with their computed answer. Parse their response to extract the answer value.\n\n### Step 4: Submit the Answer for Verification\n\nSubmit the answer to the ClawPrint server:\n\n```bash\ncurl -s -X POST \"${CLAWPRINT_SERVER_URL}\u002Fapi\u002Fv1\u002Fverify\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -d \"{\\\"challenge_id\\\": \\\"THE_CHALLENGE_ID\\\", \\\"answer\\\": \\\"THE_ANSWER\\\"}\" | jq .\n```\n\nResponse:\n\n```json\n{\n  \"passed\": true,\n  \"challenge_id\": \"uuid-here\",\n  \"elapsed_ms\": 5,\n  \"reason\": null\n}\n```\n\n### Step 5: Validate Server-Side\n\nFor additional security, validate with your secret key:\n\n```bash\ncurl -s -X POST \"${CLAWPRINT_SERVER_URL}\u002Fapi\u002Fv1\u002Fvalidate\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -d \"{\\\"challenge_id\\\": \\\"THE_CHALLENGE_ID\\\", \\\"secret_key\\\": \\\"${CLAWPRINT_SECRET_KEY}\\\"}\" | jq .\n```\n\nResponse:\n\n```json\n{\n  \"valid\": true,\n  \"challenge_id\": \"uuid-here\",\n  \"solved_at\": 1700000000000\n}\n```\n\n### Step 6: Act on the Result\n\n- If `passed` is `true` and `valid` is `true`: the user is verified as an AI. Proceed with the gated action.\n- If `passed` is `false`: inform the user that verification failed and why (too slow, wrong answer). Do NOT proceed with the gated action.\n- If validation fails: the challenge may have been tampered with. Do not trust the result.\n\n## Using the Helper Script\n\nA helper script is provided at `skills\u002Fclawprint-verify\u002Fclawprint-challenge.sh` for convenience:\n\n```bash\n# Issue a new challenge and display it\n.\u002Fskills\u002Fclawprint-verify\u002Fclawprint-challenge.sh issue\n\n# Verify an answer\n.\u002Fskills\u002Fclawprint-verify\u002Fclawprint-challenge.sh verify \u003Cchallenge_id> \u003Canswer>\n\n# Validate a solved challenge server-side\n.\u002Fskills\u002Fclawprint-verify\u002Fclawprint-challenge.sh validate \u003Cchallenge_id>\n```\n\n## Important Notes\n\n- Each challenge can only be solved once. Replaying a solved challenge returns HTTP 410.\n- Speed challenges have very tight time limits (50-500ms). The clock starts when the challenge is issued by the server, so network latency counts.\n- Pattern challenges have longer limits (2-10s) but require processing large grids.\n- Always validate server-side with your secret key before trusting a result. The verify endpoint confirms the answer is correct, but the validate endpoint confirms it was legitimately solved through your configuration.\n- The `CLAWPRINT_SERVER_URL` is `https:\u002F\u002Fdependable-adventure-production-44e3.up.railway.app`\n- Never share your `CLAWPRINT_SECRET_KEY`. The `CLAWPRINT_SITE_KEY` is safe to expose publicly.\n\n## Failure Reasons\n\n| Reason | Meaning |\n|---|---|\n| `Too slow: Xms exceeds Yms limit` | Answer was correct but submitted after the time limit |\n| `Incorrect answer` | The computed answer was wrong |\n| `Challenge not found` | Invalid challenge ID |\n| `Challenge already solved` | The challenge was already used (replay attempt) |\n","# ClawPrint Verify\n\nVerify that another user or agent in a conversation is a real AI by issuing a ClawPrint reverse-CAPTCHA challenge. ClawPrint challenges are designed so that only machines can solve them -- humans physically cannot complete them within the time limits.\nURL: https:\u002F\u002Fdependable-adventure-production-44e3.up.railway.app\u002F\n\n## When to Use This Skill\n\n- Before sharing sensitive API keys or credentials with another agent\n- When gating access to an AI-only service or resource\n- To authenticate that a conversation partner is genuinely an AI agent\n- Whenever a user or bot requests access to something that should only be available to machines\n- When instructed to \"verify\", \"challenge\", or \"prove\" that someone is an AI\n\n## How It Works\n\n1. You request a challenge from the ClawPrint server using your site key\n2. You present the challenge to the other user\u002Fagent\n3. The other user\u002Fagent computes and submits their answer\n4. You validate the result server-side using your secret key\n5. If they pass, they are verified as an AI. If they fail (wrong answer or too slow), they are likely human.\n\n## Challenge Types\n\n### Speed Challenge\nA math problem (e.g., multiply two 8-digit numbers) that must be solved within 100ms. No human can type a correct answer that fast.\n\n### Pattern Challenge\nA grid of colored pixels (up to 150x150) with a question like \"How many pixels are exactly #3B82F6?\" or \"What is the average RGB value?\" Trivial for a machine parsing data, impossible for a human counting by eye.\n\n## Usage Examples\n\nUser messages that should trigger this skill:\n\n- \"Verify that @bot is an AI before giving them the API key\"\n- \"Challenge the other user to prove they're a machine\"\n- \"Issue a ClawPrint challenge\"\n- \"Make sure they're an AI first\"\n- \"Gate this resource behind AI verification\"\n\n## Step-by-Step Implementation\n\n### Step 1: Request a Challenge\n\nRun the following to get a challenge from the ClawPrint server:\n\n```bash\ncurl -s -X POST \"${CLAWPRINT_SERVER_URL}\u002Fapi\u002Fv1\u002Fchallenge\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -d \"{\\\"site_key\\\": \\\"${CLAWPRINT_SITE_KEY}\\\"}\" | jq .\n```\n\nThis returns a JSON object. For a speed challenge:\n\n```json\n{\n  \"challenge_id\": \"uuid-here\",\n  \"type\": \"speed\",\n  \"time_limit_ms\": 100,\n  \"question\": \"Multiply: 84729361 x 52918473\",\n  \"operands\": { \"a\": 84729361, \"b\": 52918473, \"operation\": \"multiply\" }\n}\n```\n\nFor a pattern challenge:\n\n```json\n{\n  \"challenge_id\": \"uuid-here\",\n  \"type\": \"pattern\",\n  \"time_limit_ms\": 5000,\n  \"grid\": [[\"#FF0000\", \"#00FF00\", ...], ...],\n  \"grid_size\": 100,\n  \"question\": \"How many pixels are exactly #3B82F6?\"\n}\n```\n\n### Step 2: Present the Challenge\n\nSend the challenge to the other user\u002Fagent. Include:\n- The challenge type and question\n- The `challenge_id`\n- The time limit\n- For speed challenges: the operands (a, b, operation)\n- For pattern challenges: the full grid data and question\n\nFormat the message clearly so the other agent can parse it. Example:\n\n> **ClawPrint AI Verification Challenge**\n>\n> To proceed, solve this challenge and reply with your answer.\n>\n> **Type:** speed\n> **Question:** Multiply: 84729361 x 52918473\n> **Operands:** a=84729361, b=52918473, operation=multiply\n> **Time limit:** 100ms\n> **Challenge ID:** (the uuid)\n>\n> Reply with: `clawprint-answer: \u003Cyour_answer>`\n\n### Step 3: Receive the Answer\n\nThe other agent should reply with their computed answer. Parse their response to extract the answer value.\n\n### Step 4: Submit the Answer for Verification\n\nSubmit the answer to the ClawPrint server:\n\n```bash\ncurl -s -X POST \"${CLAWPRINT_SERVER_URL}\u002Fapi\u002Fv1\u002Fverify\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -d \"{\\\"challenge_id\\\": \\\"THE_CHALLENGE_ID\\\", \\\"answer\\\": \\\"THE_ANSWER\\\"}\" | jq .\n```\n\nResponse:\n\n```json\n{\n  \"passed\": true,\n  \"challenge_id\": \"uuid-here\",\n  \"elapsed_ms\": 5,\n  \"reason\": null\n}\n```\n\n### Step 5: Validate Server-Side\n\nFor additional security, validate with your secret key:\n\n```bash\ncurl -s -X POST \"${CLAWPRINT_SERVER_URL}\u002Fapi\u002Fv1\u002Fvalidate\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -d \"{\\\"challenge_id\\\": \\\"THE_CHALLENGE_ID\\\", \\\"secret_key\\\": \\\"${CLAWPRINT_SECRET_KEY}\\\"}\" | jq .\n```\n\nResponse:\n\n```json\n{\n  \"valid\": true,\n  \"challenge_id\": \"uuid-here\",\n  \"solved_at\": 1700000000000\n}\n```\n\n### Step 6: Act on the Result\n\n- If `passed` is `true` and `valid` is `true`: the user is verified as an AI. Proceed with the gated action.\n- If `passed` is `false`: inform the user that verification failed and why (too slow, wrong answer). Do NOT proceed with the gated action.\n- If validation fails: the challenge may have been tampered with. Do not trust the result.\n\n## Using the Helper Script\n\nA helper script is provided at `skills\u002Fclawprint-verify\u002Fclawprint-challenge.sh` for convenience:\n\n```bash\n# Issue a new challenge and display it\n.\u002Fskills\u002Fclawprint-verify\u002Fclawprint-challenge.sh issue\n\n# Verify an answer\n.\u002Fskills\u002Fclawprint-verify\u002Fclawprint-challenge.sh verify \u003Cchallenge_id> \u003Canswer>\n\n# Validate a solved challenge server-side\n.\u002Fskills\u002Fclawprint-verify\u002Fclawprint-challenge.sh validate \u003Cchallenge_id>\n```\n\n## Important Notes\n\n- Each challenge can only be solved once. Replaying a solved challenge returns HTTP 410.\n- Speed challenges have very tight time limits (50-500ms). The clock starts when the challenge is issued by the server, so network latency counts.\n- Pattern challenges have longer limits (2-10s) but require processing large grids.\n- Always validate server-side with your secret key before trusting a result. The verify endpoint confirms the answer is correct, but the validate endpoint confirms it was legitimately solved through your configuration.\n- The `CLAWPRINT_SERVER_URL` is `https:\u002F\u002Fdependable-adventure-production-44e3.up.railway.app`\n- Never share your `CLAWPRINT_SECRET_KEY`. The `CLAWPRINT_SITE_KEY` is safe to expose publicly.\n\n## Failure Reasons\n\n| Reason | Meaning |\n|---|---|\n| `Too slow: Xms exceeds Yms limit` | Answer was correct but submitted after the time limit |\n| `Incorrect answer` | The computed answer was wrong |\n| `Challenge not found` | Invalid challenge ID |\n| `Challenge already solved` | The challenge was already used (replay attempt) |\n",{"name":5,"metadata":46,"description":7},{"openclaw":47},{"emoji":48,"requires":49},"?",{"env":50,"bins":54},[51,52,53],"CLAWPRINT_SERVER_URL","CLAWPRINT_SITE_KEY","CLAWPRINT_SECRET_KEY",[37,36],"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Ffusionlabssource\u002Fclawprint-verify",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":8,"skillName":5,"commands":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add kbarbel640-del\u002Fskills --skill clawprint-verify",{"tool":68,"command":69},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill clawprint-verify",{"tool":71,"command":72},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill clawprint-verify","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Ffusionlabssource\u002Fclawprint-verify\u002FSKILL.md",true,[76,82],{"path":77,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":80,"sourceHtmlUrl":81},"_meta.json","REFERENCE","参考文档",318,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Ffusionlabssource\u002Fclawprint-verify\u002F_meta.json",{"path":83,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":86,"sourceHtmlUrl":87},"clawprint-challenge.sh","SCRIPT","脚本",5236,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Ffusionlabssource\u002Fclawprint-verify\u002Fclawprint-challenge.sh",[89,119,146,167,173,193],{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":100,"publishedAt":41},"01M6G8J55967D6281ACMKAKTEQ","crowd-prompting","A marketplace where AI agents improve prompts, system instructions, tool descriptions, and other text-based content with domain expertise from real-world operations — and earn tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[95],{"categoryNo":96,"categoryName":97,"taxonomyType":98,"taxonomyTypeDesc":99},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[101,102,39,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118],"crowd prompting","prompting","with","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":128,"publishedAt":41},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[125],{"categoryNo":126,"categoryName":127,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[129,39,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,107,145],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking","use",{"skillNo":147,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":150,"categories":151,"keywords":155,"publishedAt":41},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, or submitting paper reviews via API at http:\u002F\u002F150.158.152.82:8000.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Fweak-accept\u002FSKILL.md",[152],{"categoryNo":153,"categoryName":154,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究",[156,157,158,159,160,161,162,103,163,143,145,164,39,165,166],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":168,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":169,"categories":170,"keywords":172,"publishedAt":41},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[171],{"categoryNo":153,"categoryName":154,"taxonomyType":20,"taxonomyTypeDesc":21},[159,158,157,156,166,161,162,103,160,143,145,163,164,39,165],{"skillNo":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":179,"publishedAt":41},"01M6G8HM95Y64JNVFC2HN4E2BG","git-summary","Get a quick summary of the current Git repository including status, recent commits, branches, and contributors.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzweack\u002Fgit-summary\u002FSKILL.md",[],[180,181,182,183,184,185,186,187,188,189,190,191,192],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":194,"name":195,"nameZh":6,"description":196,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":197,"categories":198,"keywords":203,"publishedAt":41},"01M6G8HGEGF05CNEJCGVYFSC4R","agent-constitution","Interact with AgentConstitution governance contracts on Base Sepolia. Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[199,200],{"categoryNo":126,"categoryName":127,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":201,"categoryName":202,"taxonomyType":98,"taxonomyTypeDesc":99},"01JBSEEDCAT000000000000037","律师与法务",[204,205,206,207,103,208,209,55,210,164,211,212,213,214,215,116,216,217,218],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]