backlink
OpenCLI-first backlink discovery, profile analysis, opportunity qualification, safe browser-assisted form filling, evidence-based verification, and bulk data harvesting from logged-in dashboards. Use for backlinks, external links, competitor link research, blog-comment opportunit
供给资产档案
研究与知识工作
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
场景
研究 Agent
I need my agent to research a topic, compare sources, and produce a concise report.
适配 Agent
Claude Code + OpenAI Agents + Browser agents
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add yan-labs/yan-skills --skill backlink
维护状态
新鲜
今天有推送
风险
需审查
Dependency or permission surface needs review
GitHub 质量
35
62/100 质量 · 64/100 信任
覆盖标签
审查说明
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
35 个 GitHub Stars
仓库活跃度
35 个 Star,28 个 Fork
维护状态
今天有推送
许可证
MIT
安装
npx skills add yan-labs/yan-skills --skill backlink
安装安全性
标准软件包或运行时安装路径
权限范围
shell or command execution, filesystem or document access
Agent 结果
暂未有 Agent 结果数据
文档
README/SKILL.md 上下文充分
风险摘要
生产前审查
- The skill is very large and complex; SKILL.md is long and uses XML, which might be hard to parse for some agents.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- 研究 Agent 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- 检索来源
适用 Agent
安装决策
- 命令
- npx skills add yan-labs/yan-skills --skill backlink
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 56/100
- 审计
- 73/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- Low GitHub adoption signal
- The skill is very large and complex; SKILL.md is long and uses XML, which might be hard to parse for some agents.
- 高风险权限提示:Shell 或命令执行
替代 Skill
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
替代 Skill
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
替代 Skill
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
替代 Skill
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent 安全 v2
37/100 · 避免自动安装
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
高
Shell 或命令执行
Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。
中
Browser automation
Skill may drive a browser or interact with web pages.
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
- 高风险权限提示:Shell 或命令执行
- Dependency or permission surface needs review
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install yan-labs-backlinkAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20backlink%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20backlink%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/yan-labs-backlink/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use backlink in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20backlink%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yan-labs-backlink/install
Install command: npx skills add yan-labs/yan-skills --skill backlink
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/yan-labs-backlink/install
LLM 文本格式
/api/skills/yan-labs-backlink/install?format=text
寻找替代方案
/api/skills/search?q=backlink&limit=3
Agent 提示词
Use backlink for this task. Review https://www.openagentskill.com/api/skills/yan-labs-backlink/install, then install with: npx skills add yan-labs/yan-skills --skill backlinkRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Manifest
/api/registry/manifest/yan-labs-backlink
LLM 文本
/api/registry/manifest/yan-labs-backlink?format=text
安装别名
/api/registry/install/yan-labs-backlink
推荐
/api/registry/recommend?task=Use%20backlink%20in%20an%20agent%20workflow&limit=3
适配 Agent
研究 Agent
平台
Claude Code, OpenAI Agents, Browser agents
Agent 决策面板
Fallback candidate for Research agents
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
研究 Agent
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- 研究 Agent 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 62/100 质量档案
- 1 个 OpenAgentSkill 交互事件
先审查
- Low GitHub adoption signal
- The skill is very large and complex; SKILL.md is long and uses XML, which might be hard to parse for some agents.
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次研究 Agent任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub 采用度
检查35 个 GitHub Stars
Star/Fork 活跃度
检查35 个 Star,28 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过今天有推送
许可证清晰度
通过MIT
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- The skill is very large and complex; SKILL.md is long and uses XML, which might be hard to parse for some agents.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 35 GitHub stars
- Stars/forks activity: 35 stars, 28 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, network or browser surface
- Permission surface: shell or command execution, filesystem or document access
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
Choose a stronger alternative or inspect the source manually before any install attempt.
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Collect structured data
Web scraping
I need my agent to scrape websites and extract structured data from pages.
工作流匹配
加入完整工作流
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
Web data pipeline
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
概览
--- name: backlink description: OpenCLI-first backlink discovery, profile analysis, opportunity qualification, safe browser-assisted form filling, evidence-based verification, and bulk data harvesting from logged-in dashboards. Use for backlinks, external links, competitor link research, blog-comment opportunities, directory submissions, Similarweb/Semrush/Ahrefs discovery, Search Console verification, anchor analysis, toxic-link review, disavow review, outreach templates, scraping SaaS report tables that have no API, driving the owner's logged-in Chrome from a script, or Chinese requests such as 反链、外链、找外链、发外链、评论外链、外链分析、抓后台数据、导出报表、数据面板、数据勘测. ---
<skill name="backlink" version="3.2" body-format="xml">
<why-xml> The frontmatter above stays YAML because the Skill loader reads it for discovery. Everything below is XML because this Skill is mostly laws and routing, and a law that is easy to skim past is a law that gets broken. Tagged blocks make "which rule did I just violate" answerable by name. </why-xml>
<mission> One business Skill for the complete backlink lifecycle. Do not split it back apart, and do not create another browser-extension Skill — OpenCLI and its Chrome extension are the connector underneath this Skill, never a separate business workflow.
Two former Skills were merged in on 2026-08-16 and deleted: `backlink-analyzer` (analysis templates, toxicity rubric, outreach — now in three references under its original Apache-2.0 licence) and `browser-harvest` (pulling tables out of logged-in dashboards — now <ref file="references/harvest.md"/>). The harvest knowledge is general-purpose: ad platforms, e-commerce backends, any no-API SaaS report. When a harvesting task has nothing to do with links, load this Skill anyway and read that one reference. </mission>
<map> <summary> Two things live here and they answer different questions. **The data files are the asset; the references are how to use them and how not to fool yourself.** </summary> <tree><![CDATA[ backlink/ ├── SKILL.md ← you are here: laws + routing + workflow entry points ├── CONTRIBUTING.md ← how to submit a PR, the data model, the evidence rule │ ├── data/ ← THE DATABASE. Machine-readable, PR-able, CI-checked. │ ├── free-channels.json places that publish a link at no cost │ ├── submission-targets.json routes that ACCEPT a submission — first-pass library │ ├── paid-platforms.json platforms observed carrying purchased placements │ ├── index-submission.json engines that take a URL and publish NO link │ └── schema/ JSON Schema for the files above │ ├── scripts/ ← run these; do not re-derive their knowledge by hand │ ├── validate-data.mjs PR gate. CI runs exactly this. Must exit 0. │ ├── health.mjs run before ANY browser task │ ├── opencli-core.mjs ★ defaultSession(), batchBrowser(), openAndEval(), run(), closeSession() │ ├── lib-tools-share.mjs ★ the ONE panel launcher │ ├── tools-share-open.mjs launch a tool by name; --goto for a deep link │ ├── similarweb-query.mjs performance | channels | similar-sites │ ├── similarweb-batch.mjs bulk traffic screen — one login, N domains, resumable │ ├── semrush-batch.mjs same, on the other card's quota (organic traffic) │ ├── semrush-overview.mjs AS / organic traffic / ref-domains / keywords │ ├── semrush-keyword.mjs one keyword: volume, KD, CPC, per-country split │ ├── semrush-report.mjs the OTHER four no-export reports; reuses one session │ │ table reports paginate — pass --all-pages or it warns │ ├── page-read.mjs render a public page → text, prices, paywall shape │ ├── apply-traffic-screen.mjs write verdicts back into submission-targets.json │ ├── inspect-page.mjs dump one target's form / login / CAPTCHA state │ ├── safe-fill.mjs fill a reviewed payload, never submit │ ├── release-submit-guard.mjs only after explicit per-submission approval │ ├── submit-directory.mjs the single-target driver; one session per staged site │ ├── adapter-phpld.mjs ★ reference implementation of one-session-per-site │ ├── ledger.mjs candidate → … → indexed → rel_verified; stats + remaining │ ├── discovery-queue.mjs recursive competitor/commenter expansion │ ├── harvest-commenters.mjs pull commenter domains off an article │ ├── third-party-list-ingest.mjs someone else's list → screened leads + diff │ ├── probe-submission-targets.mjs leads → reachability, route, gate, price │ ├── merge-submission-targets.mjs fold a probe run into the two data files │ ├── targets-select.mjs pick ONE batch: --cohort open | captcha | … ; --ledger excludes submitted │ ├── paid-platform-registry.mjs merge a harvest into the paid registry │ └── harvest-*.{sh,mjs,js} bulk table extraction from logged-in dashboards │ └── references/ ← method, traps, and why the rules are the rules ├── browser-runtime.md ★★ READ FIRST for any browser work. The laws + measurements. ├── traffic-screen.md ★ the qualifying gate, and why it runs before the form ├── submission-lanes.md ★ lanes, cohorts, the three guards, staged queues ├── instant-publish.md ★ free channels: how each class behaves, what kills them ├── paid-platforms.md ★ paid: tiers, why a burst is not a purchase ├── batch-campaign.md ★ 100+ rows: queue, idempotency, resume, reporting ├── directory-run-playbook.md ★ what a real run hits: hidden free tiers, already-listed sites, stale ledger rows ├── index-submission.md index-only channels; why `indexed` must name an engine ├── authorized-data-sources.md the panel, the cards, quota, expiry, the traps ├── field-notes.md what actually blocks submissions in practice ├── harvest.md scraping failures that look like success ├── safety-policy.md read before any fill / submit / logged-in action ├── acquisition-doctrine.md the standing ruling on what is worth pursuing ├── discovery-loop.md · link-quality-rubric.md · analysis-templates.md ├── outreach-templates.md · backlinkdirs.md · prompts.md · credits.md └── LICENSE-analysis-templates-Apache-2.0 ]]></tree> <path-rule>Resolve every path in this file relative to this SKILL.md.</path-rule> </map>
<routing> <summary>Match the ask to a starting point. When two rows fit, take the lower one — it is more specific.</summary> <route ask="Somewhere I can post without registering"> `data/free-channels.json` filtered to `account: "none"` and `status: "live"`, then <ref file="references/instant-publish.md"/> for that class's mechanics. Directory submission does NOT satisfy this ask; burning a campaign discovering that is the common failure. </route> <route ask="What paid options exist / where did this competitor buy its links"> <ref file="references/paid-platforms.md"/>, then `data/paid-platforms.json` sorted by how many independent sites were observed using each. </route> <route ask="Find me new opportunities"> <ref file="references/discovery-loop.md"/> — merge whatever you harvest back into the registry. </route> <route ask="Where can I submit this site"> `node scripts/targets-select.mjs --stats`, then one cohort at a time per <ref file="references/submission-lanes.md"/>. </route> <route ask="Is this link profile any good"> <ref file="references/link-quality-rubric.md"/> </route> <route ask="Get these numbers out of a dashboard with no API"> <ref file="references/harvest.md"/> </route> <route ask="Here are 300 directories, submit to them / a campaign that must survive interruption"> <ref file="references/batch-campaign.md"/>. The single-target loop is correct per target and wrong per campaign. </route> <route ask="Someone published a list of backlink sites, is it useful"> `scripts/third-party-list-ingest.mjs` to normalise and diff it, then the "Reading a third-party list" section of <ref file="references/instant-publish.md"/>. </route> <route ask="Submit our pages to Brave / another engine, why is our index count low"> <ref file="references/index-submission.md"/>. It publishes no link, so it never enters the placement ledger. </route> <route ask="Should we post here at all — off-topic host, low DR, known nofollow"> <ref file="references/acquisition-doctrine.md"/> BEFORE rejecting anything. </route> <route ask="Just open this page and tell me what is on it"> <workflow-ref id="explore"/> — still OpenCLI, still a script. </route> <query-the-data> Query the data rather than reading JSON by eye. <cmd><![CDATA[ node -e 'const d=require("./data/free-channels.json");console.log(d.channels.filter(c=>c.account==="none"&&c.status==="live").map(c=>`${c.id}\t${c.kind}`).join("\n"))' node scripts/paid-platform-registry.mjs list --min-sites 2 ]]></cmd> </query-the-data> </routing>
<browser-runtime> <summary> `$backlink → scripts and policy → OpenCLI → the owner's authorized Chrome → website`
Every script here shells out to the `opencli` binary, which drives the owner's own logged-in Chrome through the OpenCLI extension. No Playwright, no headless instance, no remote runtime. That identity is the entire reason this Skill exists, and it is why the laws below matter.
**Read <ref file="references/browser-runtime.md"/> before any browser work.** It carries the measurements behind every law here, the two other drivers and what they cost, and an ordered checklist for diagnosing "something stole my tab". </summary>
<default-driver> OpenCLI is the default for **everything**, including a quick ad-hoc look at one page. It reaches the owner's Chrome through an extension plus a local daemon, and because it is a CLI, any agent runtime that can run a shell command gets the identical capability — Claude Code, Codex, anything else. Work done through a runtime-specific tool cannot be replayed from a script or from another agent later, which defeats the reason this Skill has scripts.
Use an existing OpenCLI adapter first. When no adapter exists, use a named browser session with DOM/network inspection. </default-driver>
<law id="one-session-one-tab" weight="load-bearing"> <statement> `opencli browser <session>` is a one-page abstraction. **A session name owns exactly one tab.** Different names never steal from, switch, or pollute each other. So N pages need N session names. </statement> <why> This inverts the intuition most people arrive with, which is why it is stated first. Measured 2026-08-21 under three concurrent agents: distinct session names produced **zero** cross-agent thefts across 4 rounds × 3 pages; three agents sharing the name `work` produced 3, 12, and 2 thefts, one of them missing on every check it made. Re-confirmed the same day against this Skill as written: three agents told only to follow it scored **36/36 clean with zero leaked tabs**. </why> <correct><![CDATA[ opencli browser recon-sw-notion --window background open "https://..." opencli browser recon-sw-figma --window background open "https://..." opencli browser recon-sem-rival --window background open "https://..." ]]></correct> </law>
<law id="no-multi-tab-api" weight="load-bearing"> <statement> Do not use `tab new`, `tab select`, or `open --tab` to hold several pages under one session. All three fail, and every one fails **silently** — the command reports success and the next read returns the wrong page. </statement> <why> Measured 2026-08-21 on opencli 1.8.6: a session tracks only its newest tab, so earlier ids drop out of `tab list`; `tab select` returns success with no effect on reads; `open --tab <id>` opens a **new** tab and leaves the named one untouched; and `get` does not accept `--tab` at all, so a run using `get url` to confirm its position cannot be right about
技术详情
- 版本
- 1.0.0
- 许可证
- MIT
- 最近更新
- 2026年8月23日
- 发布时间
- 2026年8月21日
决策摘要
备选候选
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 backlink 准备的场景化草稿,可手动发布到 X。
A practical pick for a web workflow: backlink: OpenCLI-first backlink discovery, profile analysis, opportunity qualification, safe browser-assisted form filling, evidence... 35 stars https://www.openagentskill.com/skills/yan-labs-backlink?ref=x
可选:带安装命令的回复
Listing + install path for backlink: https://www.openagentskill.com/skills/yan-labs-backlink?ref=x Install: npx skills add yan-labs/yan-skills --skill backlink
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- yan-labs
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 yan-labs,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/yan-labs-backlink)
[](https://www.openagentskill.com/skills/yan-labs-backlink)
[](https://www.openagentskill.com/skills/yan-labs-backlink/audit)
[](https://www.openagentskill.com/skills/yan-labs-backlink)作者
yan-labs
@yan-labs
健康信号
- GitHub Stars
- 35
- 质量评分
- 34/100
- 最近 GitHub 推送
- 2026年8月23日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 1
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
Do not auto-install
- GitHub 采用度35 个 GitHub Stars检查
- Star/Fork 活跃度35 个 Star,28 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护今天有推送通过
- 许可证清晰度MIT通过
- README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
- 依赖与运行时风险command execution surface, network or browser surface检查
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