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
Perfil del activo
Investigación y trabajo de conocimiento
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Escenario
Agents de investigación
I need my agent to research a topic, compare sources, and produce a concise report.
Afinidad con Agent
Claude Code + OpenAI Agents + Browser agents
Funciona con Codex, Claude Code, Cursor, CLI o Agents personalizados.
Instalar
Listo
npx skills add yan-labs/yan-skills --skill backlink
Mantenimiento
Actual
Actualizado hoy
Riesgo
Requiere revisión
Dependency or permission surface needs review
Calidad de GitHub
38
62/100 Calidad · 64/100 Confianza
Etiquetas de cobertura
Notas de revisión
Dependency or permission surface needs review · Permission surface may require sandboxing
Tarjeta de adopción del Agent
Confianza, auditoría y preparación de instalación de un vistazo
Estas puntuaciones combinan metadatos públicos del repositorio, señales de revisión de OpenAgentSkill, actualidad de mantenimiento y preparación de instalación. Sirven para preseleccionar; no sustituyen la revisión humana.
Calidad
PrometedorUseful candidate, but compare it with alternatives before adopting.
Confianza
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Auditoría
Requiere revisiónRevisión legible por máquina de la preparación de instalación, los metadatos de seguridad, el mantenimiento y el riesgo de adopción.
Trust Score de OpenAgentSkill v5
Revisión humana antes de instalar
Choose a stronger alternative or inspect the source manually before any install attempt.
Estrellas
38 estrellas de GitHub
Actividad del repositorio
38 estrellas y 30 forks
Mantenimiento
Actualizado hoy
Licencia
MIT
Instalar
npx skills add yan-labs/yan-skills --skill backlink
Seguridad de instalación
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
shell or command execution, filesystem or document access
Resultados del Agent
Aún no hay datos de resultados del Agent
Documentación
Contexto sólido de README/SKILL.md
Resumen de riesgo
Revisar antes de producción
- 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
Preparación de instalación
Ruta de instalación disponible
- La ruta de instalación está disponible
- La evidencia del repositorio está disponible
- La licencia está declarada
- Aún no hay evidencia de resultados Agent-Proven
Metadatos legibles por Agent
Datos de decisión legibles por máquina para este skill.
Usa este bloque o el JSON integrado para decidir si un Agent debe instalar este skill, elegir una alternativa o pedir revisión humana primero.
Tareas adecuadas
- Flujos de Agents de investigación
- Equipos de Claude Code
- builders willing to evaluate younger projects
- Fuentes de búsqueda
Agents adecuados
Decisión de instalación
- Comando
- npx skills add yan-labs/yan-skills --skill backlink
- Política
- Revisar
- Revisión humana
- Sí
Confianza y riesgo
- Confianza
- 56/100
- Auditoría
- 73/100
- Nivel de riesgo
- Requiere revisión
Ciclo de resultados
- Endpoint
- /api/agent/outcome
- ID del evento
- resolve
- Resultados
- 5
Comando de instalación
npx skills add yan-labs/yan-skills --skill backlinkNo usar cuando
- Equipos que necesitan un SLA con soporte del proveedor
- 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.
- Indicios de permisos de alto riesgo: ejecución de shell o comandos
Skill alternativo
Last30days Skill
53.5K Estrellas
npx skills add mvanhorn/last30days-skill -g
Skill alternativo
Academic Research Skills
38.4K Estrellas
npx skills add Imbad0202/academic-research-skills
Skill alternativo
GPT Researcher
28.0K Estrellas
npx skills add assafelovic/gpt-researcher
Skill alternativo
DeepResearch
19.8K Estrellas
npx skills add Alibaba-NLP/DeepResearch
Seguridad de Agent v2
37/100 · Evitar instalación automática
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Alto
Ejecución de shell o comandos
Los metadatos del skill hacen referencia a terminal, CLI, shell, subprocesos o flujos de ejecución de comandos.
Medio
Browser automation
Skill may drive a browser or interact with web pages.
Medio
Acceso a red
El skill probablemente consulta páginas remotas, API, repositorios o servicios externos.
Medio
Acceso al sistema de archivos
El skill puede leer o escribir archivos de proyecto, documentos, artefactos generados o estado local.
- Indicios de permisos de alto riesgo: ejecución de shell o comandos
- Dependency or permission surface needs review
Destinos de instalación
Instala este skill en tu flujo de Agent
Usa el endpoint público para obtener el comando, la lista de seguridad, prompts y enlaces canónicos.
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-backlinkPlan de resolución de Agent
Deja que un Agent valide el ajuste antes de instalar.
La API Resolve devuelve la skill elegida, alternativas, política de seguridad, notas de auditoría, destino de instalación y un prompt listo para usar.
Abrir JSON
/api/agent/resolve?task=Use%20backlink%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Texto de Resolve
/api/agent/resolve?task=Use%20backlink%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Traspaso de instalación
/api/skills/yan-labs-backlink/install
Agent debe revisar
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copiar prompt
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.Traspaso de Agent
Da al Agent la ruta de instalación, no otro directorio.
Usa el endpoint público para obtener el comando, la lista de seguridad, prompts y enlaces canónicos.
Traspaso de instalación
/api/skills/yan-labs-backlink/install
Formato de texto LLM
/api/skills/yan-labs-backlink/install?format=text
Buscar alternativas
/api/skills/search?q=backlink&limit=3
Prompt de Agent
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 backlinkMetadatos del Registry
Perfil legible por Agent para seleccionar skills automáticamente.
La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.
Manifest
/api/registry/manifest/yan-labs-backlink
Texto LLM
/api/registry/manifest/yan-labs-backlink?format=text
Alias de instalación
/api/registry/install/yan-labs-backlink
Recomendar
/api/registry/recommend?task=Use%20backlink%20in%20an%20agent%20workflow&limit=3
Afinidad con Agent
Agents de investigación
Etiquetas de uso
Plataformas
Claude Code, OpenAI Agents, Browser agents
Informe de auditoría
Requiere revisión · 73/100
Revisión legible por máquina de la preparación de instalación, los metadatos de seguridad, el mantenimiento y el riesgo de adopción.
Panel de decisión de Agent
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Rol en la pila
Candidata de respaldo
Ajuste principal
Agents de investigación
Etiqueta de confianza
Prototipar primero
Ruta de instalación
Comando listo
Úsalo cuando
- Flujos de Agents de investigación
- Equipos de Claude Code
- builders willing to evaluate younger projects
Evidencia
- recent repository activity
- install command or GitHub repo available
- perfil de calidad 62/100
- 1 eventos de interacción de OpenAgentSkill
revisar primero
- 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.
Ruta de implementación
- 1Instálalo en un Agent de sandbox y ejecuta una tarea de Agents de investigación de principio a fin.
- 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.
Perfil de confianza
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Adopción en GitHub
Revisar38 estrellas de GitHub
Actividad de stars/forks
Revisar38 estrellas y 30 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
AprobadoActualizado hoy
Claridad de licencia
AprobadoMIT
Señales positivas
- Revisión de IA aprobada
- La ruta de instalación está disponible
- La evidencia del repositorio está disponible
- Repositorio mantenido recientemente
- El comando de instalación no muestra un patrón de alto riesgo evidente
- El ciclo de resultados está listo, pero necesita la primera ejecución real de Agent
Revisar antes de instalar
- 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: 38 GitHub stars
- Stars/forks activity: 38 stars, 30 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
- Aún no hay informes reales de resultados del Agent
- Se requiere revisión humana antes de una instalación desatendida
Acción recomendada
Choose a stronger alternative or inspect the source manually before any install attempt.
Perfil de calidad
Prometedor candidato para flujos de Agent
Useful candidate, but compare it with alternatives before adopting.
Ajuste de flujo
Usa esta skill en estos escenarios
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.
Ajuste de flujo
Añadir a un flujo completo
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.
Lista de alternativas
Compara antes de instalar
Similar skills that may fit this task.
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
Resumen
--- 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
Detalles técnicos
- Versión
- 1.0.0
- Licencia
- MIT
- Última actualización
- 23 ago 2026
- Publicado
- 21 ago 2026
Resumen de decisión
Candidata de respaldo
recent repository activity
Auditoría
Revisión de instalación
Revisión de instalación y adopción
- Seguridad
- 72/100
- Mantenimiento
- 100/100
- Instalar
- 92/100
Evidencia probada por Agent
Evidencia probada por Agent
Informes de resultados tras resolver, revisar, instalar y una ejecución limitada.
- Tasa de éxito
- —
- Fallo reciente
- —
- Resultados
- 0
- Calidad de salida
- —
- Fallidos
- 0
- No relevante
- 0
- Instalaciones
- 0
- Bloqueado por riesgo
- 0
- Configuración necesaria
- 0
- Producción
- 0
Aún no hay datos de resultados de Agent. La primera ejecución puede informar éxito, configuración necesaria, bloqueos de riesgo, fallo o irrelevancia mediante /api/agent/outcome.
Instalar
Añadir al flujo de Agent
Gratis y de código abierto. Revisa el informe antes de instalar en Agents de producción.
Bucle de crecimiento
Kit para compartir
Borrador basado en un caso para backlink, listo para publicar manualmente en X.
A practical pick for a web workflow: backlink: OpenCLI-first backlink discovery, profile analysis, opportunity qualification, safe browser-assisted form filling, evidence... 38 stars https://www.openagentskill.com/skills/yan-labs-backlink?ref=x
Respuesta opcional con comando de instalación
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
Fuente de la ficha
Indexado por Registry
Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.
- Creador
- yan-labs
- Fuente
- yan-labs/yan-skills
- Indexado por
- Índice comunitario de OpenAgentSkill
La atribución enlaza al repositorio público o al perfil del creador. Los creadores pueden reclamar la ficha para actualizar las señales de propiedad.
Reclamar este skillReclamación del propietario
Reclamar esta ficha de skill
Esta ficha Indexado por Registry se atribuye a yan-labs, pero aún no está marcada como oficial. Reclámala para añadir una señal de propietario verificado y hacer más fiables futuras actualizaciones de lanzamiento, instalación y auditoría.
Kit de enlaces para creadores
Añade las insignias de evidencia a tu README
Muestra la ficha canónica, las señales actuales de confianza y auditoría, y evidencia real de Agent-Proven donde los desarrolladores evalúan el repositorio.
[](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)Autor
yan-labs
@yan-labs
Etiquetas
Afinidad con plataforma
Señales de salud
- Estrellas de GitHub
- 38
- Puntuación de calidad
- 34/100
- Último push de GitHub
- 23 ago 2026
- Pistas del framework
- Desconocido
- Vistas de OpenAgentSkill
- 1
- Copias de instalación
- 0
- Clics externos
- 0
Señal de comunidad
Comparte si este skill resulta útil para tu flujo de Agent. Los comentarios agregados mejoran la clasificación con el tiempo.
Confianza y seguridad
Do not auto-install
- Adopción en GitHub38 estrellas de GitHubRevisar
- Actividad de stars/forks38 estrellas y 30 forks; la actividad de issues no está disponible en los metadatos actualesRevisar
- Mantenimiento recienteActualizado hoyAprobado
- Claridad de licenciaMITAprobado
- Completitud de README/SKILL.mdLos metadatos incluyen suficiente contexto de uso y flujo de trabajoAprobado
- Riesgo de dependencias/runtimecommand execution surface, network or browser surfaceRevisar
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