Xpersona

Crawler Summary

zhiforge answer-first brief

知炼 - 将知识库(Markdown博客)智能转化为知乎回答并自动发布。支持搜索热点问题、匹配知识库、撰写文章、自动发布、质量审核、回存知识库的完整闭环。 --- name: zhiforge description: 知炼 - 将知识库(Markdown博客)智能转化为知乎回答并自动发布。支持搜索热点问题、匹配知识库、撰写文章、自动发布、质量审核、回存知识库的完整闭环。 user-invocable: true metadata: {"openclaw": {"emoji": "🔥"}} --- 知炼 (ZhiForge) — 知识库 → 知乎回答 完整闭环 配置 配置文件：{baseDir}/.claude/settings.json 完整流程（全自动，不问用户） 当用户说"知乎回答"、"zhiforge"、"自动回答知乎"等触发词时，执行以下完整流程： Step 1: 读取配置 1. 读取 {baseDir}/.claude/settings.json 获取知识库路径、作者信息 2. 读取 {baseDir}/CLAUDE.md 获取博客文章索引 Step 2: 获取已回答 Published capability contract available. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 2/24/2026.

Freshness

Last checked 2/24/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

zhiforge is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 89/100

zhiforge

知炼 - 将知识库(Markdown博客)智能转化为知乎回答并自动发布。支持搜索热点问题、匹配知识库、撰写文章、自动发布、质量审核、回存知识库的完整闭环。 --- name: zhiforge description: 知炼 - 将知识库(Markdown博客)智能转化为知乎回答并自动发布。支持搜索热点问题、匹配知识库、撰写文章、自动发布、质量审核、回存知识库的完整闭环。 user-invocable: true metadata: {"openclaw": {"emoji": "🔥"}} --- 知炼 (ZhiForge) — 知识库 → 知乎回答 完整闭环 配置 配置文件：{baseDir}/.claude/settings.json 完整流程（全自动，不问用户） 当用户说"知乎回答"、"zhiforge"、"自动回答知乎"等触发词时，执行以下完整流程： Step 1: 读取配置 1. 读取 {baseDir}/.claude/settings.json 获取知识库路径、作者信息 2. 读取 {baseDir}/CLAUDE.md 获取博客文章索引 Step 2: 获取已回答

OpenClawself-declared

Public facts

7

Change events

1

Artifacts

0

Freshness

Feb 24, 2026

Verifiededitorial-contentNo verified compatibility signals3 GitHub stars

Published capability contract available. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 2/24/2026.

3 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 24, 2026

Vendor

Yfge

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Unpublished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

Published capability contract available. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/yfge/zhiforge.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  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

Yfge

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Adoption (1)

Adoption signal

3 GitHub stars

profilemedium
Observed Feb 24, 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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

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

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

2

Snippets

0

Languages

typescript

Parameters

Executable Examples

json

{
  "knowledge_base": "/path/to/markdown/files",
  "blog_url": "https://your-blog.github.io",
  "blog_repo": "/path/to/blog/git/repo",
  "author": {
    "zhihu_name": "你的知乎昵称",
    "wechat_official": "你的公众号",
    "bio": "你的简介"
  },
  "expertise": ["AI 编程", "Claude Code"],
  "high_match_topics": ["vibe-coding", "AI 辅助开发"]
}

text

✅ 发布成功

问题：[问题标题]
文章：[文章标题]
链接：https://zhuanlan.zhihu.com/p/xxxxx
参考博客：[博客文件名]
质量评分：[总分]/10
知识库：已回存 ✅

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

知炼 - 将知识库(Markdown博客)智能转化为知乎回答并自动发布。支持搜索热点问题、匹配知识库、撰写文章、自动发布、质量审核、回存知识库的完整闭环。 --- name: zhiforge description: 知炼 - 将知识库(Markdown博客)智能转化为知乎回答并自动发布。支持搜索热点问题、匹配知识库、撰写文章、自动发布、质量审核、回存知识库的完整闭环。 user-invocable: true metadata: {"openclaw": {"emoji": "🔥"}} --- 知炼 (ZhiForge) — 知识库 → 知乎回答 完整闭环 配置 配置文件：{baseDir}/.claude/settings.json 完整流程（全自动，不问用户） 当用户说"知乎回答"、"zhiforge"、"自动回答知乎"等触发词时，执行以下完整流程： Step 1: 读取配置 1. 读取 {baseDir}/.claude/settings.json 获取知识库路径、作者信息 2. 读取 {baseDir}/CLAUDE.md 获取博客文章索引 Step 2: 获取已回答

Full README

name: zhiforge description: 知炼 - 将知识库(Markdown博客)智能转化为知乎回答并自动发布。支持搜索热点问题、匹配知识库、撰写文章、自动发布、质量审核、回存知识库的完整闭环。 user-invocable: true metadata: {"openclaw": {"emoji": "🔥"}}

知炼 (ZhiForge) — 知识库 → 知乎回答 完整闭环

配置

配置文件：{baseDir}/.claude/settings.json

{
  "knowledge_base": "/path/to/markdown/files",
  "blog_url": "https://your-blog.github.io",
  "blog_repo": "/path/to/blog/git/repo",
  "author": {
    "zhihu_name": "你的知乎昵称",
    "wechat_official": "你的公众号",
    "bio": "你的简介"
  },
  "expertise": ["AI 编程", "Claude Code"],
  "high_match_topics": ["vibe-coding", "AI 辅助开发"]
}

完整流程（全自动，不问用户）

当用户说"知乎回答"、"zhiforge"、"自动回答知乎"等触发词时，执行以下完整流程：

Step 1: 读取配置

  1. 读取 {baseDir}/.claude/settings.json 获取知识库路径、作者信息
  2. 读取 {baseDir}/CLAUDE.md 获取博客文章索引

Step 2: 获取已回答列表（去重）

  1. 用 browser 打开 https://www.zhihu.com/creator/manage/creation/article
  2. 获取已发布文章标题列表
  3. 也检查回答列表：https://www.zhihu.com/creator/manage/creation/answer

Step 3: 搜索热点问题

两种来源：

  • 邀请回答：https://www.zhihu.com/creator/featured-question/invited
  • 搜索热点：用专业领域关键词搜索 https://www.zhihu.com/search?type=content&q=...

筛选标准：

  • 与知识库匹配度高（AI编程/vibe-coding/Claude Code 等）
  • 回答数少、关注数多的优先
  • 排除已回答过的（标题相似度 > 80%）

Step 4: 匹配知识库

  1. 搜索 knowledge_base 目录中的 .md 文件
  2. 根据问题关键词匹配相关文章
  3. 读取匹配的博客内容作为素材
  4. 匹配度低的跳过，找下一个问题

Step 5: 撰写文章

写作风格（保持老拐风格）：

  • 开门见山，先给结论
  • 用实际案例说话（引用博客中的项目经验）
  • 技术内容要落地可执行
  • 代码块标注语言
  • 重点用 加粗
  • 结尾引导关注博客
  • 禁用 AI 垃圾句式：
    • ❌ "不是A，而是B" / "与其说A，不如说B" / "这不仅仅是A，更是B"
    • ❌ "某种意义上" / "值得一提的是" / "不得不说" / "毫无疑问"
    • ❌ "在这个A的时代" / "A，而非B"
    • 这些是最容易被读者识别为 AI 生成的句式，一个都别用

将文章写入 workspace/stories/zhihu/YYYY-MM-DD-<slug>.md（持久化存储，不用 /tmp/）

Step 6: 发布文章

必须使用专栏页面发布（避免反爬）：

  1. 打开 https://zhuanlan.zhihu.com/write
  2. 点击"导入" → "导入文档" → 上传 markdown 文件
  3. 等待导入完成（正文出现内容）
  4. 填写标题（在标题输入框中 type）
  5. 点击"投稿至问题"下拉框 → 搜索目标问题关键词 → 点"选择" → 点"确定"
  6. 点击"发布"按钮
  7. 等待跳转（URL 变化表示成功）

关键坑点：

  • 不能直接 fill 正文，markdown 语法会变纯文本 → 必须用导入
  • 导入是追加不是替换 → 每次打开新的 write 页面
  • 投稿至问题的搜索框是 combobox → 先 click 聚焦再输入
  • 对话框用 Escape 关闭
  • 发布按钮可能 disabled → 要等标题和正文都有内容

Step 7: 质量审核（交叉验证）

发布后，用另一个模型（如 qwen）审核文章质量：

  • 标题吸引力、开头力度、论据充实度
  • 逻辑结构、知乎风格匹配、结尾引导
  • 总分和改进建议

使用 sessions_spawn + 不同 model 参数来实现交叉验证。

Step 8: 回存知识库（闭环）

如果质量审核通过：

  1. 在文章开头加上 Jekyll frontmatter（layout、title、tags）
  2. 保存到 blog_repo/_posts/YYYY-MM-DD-标题.md
  3. git add + git commit + git push

这样知乎文章反向充实了博客知识库，形成正向循环。

Step 9: 输出报告

✅ 发布成功

问题：[问题标题]
文章：[文章标题]
链接：https://zhuanlan.zhihu.com/p/xxxxx
参考博客：[博客文件名]
质量评分：[总分]/10
知识库：已回存 ✅

Browser 工具映射

所有页面操作使用 OpenClaw 的 browser 工具（profile="openclaw"）：

| 操作 | 命令 | |------|------| | 打开页面 | browser action=navigate targetUrl="..." | | 获取内容 | browser action=snapshot compact=true | | 点击 | browser action=act request={kind:"click", ref:"..."} | | 输入 | browser action=act request={kind:"type", ref:"...", text:"..."} | | 按键 | browser action=act request={kind:"press", key:"Escape"} | | 上传文件 | browser action=upload paths=["/path/to/file"] | | 截图 | browser action=screenshot | | 等待 | browser action=act request={kind:"wait", timeMs:3000} |

其他命令

  • "检查知乎邀请"：只执行 Step 2-3，列出可回答问题
  • "草拟知乎回答 [问题]"：只执行 Step 4-5，不发布
  • "知乎热点"：搜索热点 + 全流程

详细命令模板见 {baseDir}/.claude/commands/*.md

注意事项

  • 全程自动执行，遇到问题自行决策或跳过
  • 知识库匹配度低的问题要跳过，不要强行回答
  • 保持作者风格：务实、不油腻、有干货
  • 发布失败重试一次，仍失败则输出错误信息
  • 连续 3 个问题都不合适则结束

Contract & API

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

Verifiedcapability-contract

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

ready

Auth

api_key

Streaming

No

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/yfge-zhiforge/snapshot"
curl -s "https://xpersona.co/api/v1/agents/yfge-zhiforge/contract"
curl -s "https://xpersona.co/api/v1/agents/yfge-zhiforge/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

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
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/yfge/zhiforge#input",
  "outputSchemaRef": "https://github.com/yfge/zhiforge#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:41:25.701Z",
  "sourceUpdatedAt": "2026-02-24T19:41:25.701Z",
  "freshnessSeconds": 4428898
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/yfge-zhiforge/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/yfge-zhiforge/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/yfge-zhiforge/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/yfge-zhiforge/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/yfge-zhiforge/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/yfge-zhiforge/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:56:24.511Z"
    }
  },
  "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": "Yfge",
    "href": "https://github.com/yfge/zhiforge",
    "sourceUrl": "https://github.com/yfge/zhiforge",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "3 GitHub stars",
    "href": "https://github.com/yfge/zhiforge",
    "sourceUrl": "https://github.com/yfge/zhiforge",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/yfge-zhiforge/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/yfge-zhiforge/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:41:25.701Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/yfge-zhiforge/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/yfge-zhiforge/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:41:25.701Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/yfge/zhiforge#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/yfge-zhiforge/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:41:25.701Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/yfge-zhiforge/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/yfge-zhiforge/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
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    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
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  }
]

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