backlink

Tinjau · 56
Diindeks di Registry

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

Verified installs0
Star38
Versi1.0.0
Kualitas62/100 · Menjanjikan
Kepercayaan56/100 · Do not auto-install
Audit73/100 · Perlu ditinjau

Profil aset

Riset dan pekerjaan pengetahuan

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Lihat kategori

Skenario

Agent riset

I need my agent to research a topic, compare sources, and produce a concise report.

Kecocokan Agent

Claude Code + OpenAI Agents + Browser agents

Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.

Pasang

Siap

npx skills add yan-labs/yan-skills --skill backlink

Pemeliharaan

Terkini

Diperbarui hari ini

Risiko

Perlu ditinjau

Dependency or permission surface needs review

Kualitas GitHub

38

62/100 Kualitas · 64/100 Kepercayaan

Tag cakupan

RisetAgent risetagent-skill

Catatan ulasan

Dependency or permission surface needs review · Permission surface may require sandboxing

Kartu adopsi Agent

Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat

Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.

Kualitas

Menjanjikan
62

Useful candidate, but compare it with alternatives before adopting.

Kepercayaan

Do not auto-install
56

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Audit

Perlu ditinjau
73

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Trust Score OpenAgentSkill v5

Tinjauan manusia sebelum pemasangan

Choose a stronger alternative or inspect the source manually before any install attempt.

CodexClaude CodeCursorOpenAgentSkill CLI

Star

38 star GitHub

Aktivitas repositori

38 star dan 30 fork

Pemeliharaan

Diperbarui hari ini

Lisensi

MIT

Pasang

npx skills add yan-labs/yan-skills --skill backlink

Keamanan pemasangan

Jalur pemasangan paket atau runtime standar

Cakupan izin

shell or command execution, filesystem or document access

Hasil Agent

Belum ada data hasil Agent

Dokumentasi

Konteks README/SKILL.md kuat

Ringkasan risiko

Tinjau sebelum produksi

  • 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

Kesiapan pemasangan

Jalur pemasangan tersedia

  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Lisensi dinyatakan
  • Belum ada bukti hasil Agent-Proven

Metadata yang dapat dibaca Agent

Data keputusan yang dapat dibaca mesin untuk skill ini.

Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.

Buka JSON

Tugas yang sesuai

  • Alur kerja Agent riset
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Sumber pencarian

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsBrowser agentsCLI

Keputusan pemasangan

Perintah
npx skills add yan-labs/yan-skills --skill backlink
Kebijakan
Tinjau
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
56/100
Audit
73/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

Endpoint
/api/agent/outcome
ID event
resolve
Hasil
5

Perintah pemasangan

npx skills add yan-labs/yan-skills --skill backlink

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • 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.
  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah

Keamanan Agent v2

37/100 · Hindari pemasangan otomatis

EksperimentalTinjau

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Selesaikan via API

Tinggi

Eksekusi shell atau perintah

Metadata skill merujuk terminal, CLI, shell, subprocess, atau alur kerja eksekusi perintah.

Sedang

Browser automation

Skill may drive a browser or interact with web pages.

Sedang

Akses jaringan

Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.

Sedang

Akses sistem file

Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.

  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
  • Dependency or permission surface needs review

Target pemasangan

Pasang skill ini di alur Agent Anda

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

skill install

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-backlink

Rencana resolusi Agent

Biarkan Agent memverifikasi kecocokan sebelum memasang.

API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.

Buka rencana teks

Agent harus memeriksa

  • 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.

Salin 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.

Serah-terima Agent

Berikan jalur pemasangan kepada Agent, bukan direktori lain.

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

Buka API pemasangan

Prompt 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 backlink

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

61/100

Agent riset

Platform

Claude Code, OpenAI Agents, Browser agents

Laporan audit

Perlu ditinjau · 73/100

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

61
Kesiapan
Prototipe
Tahap

Peran di stack

Kandidat cadangan

Kecocokan utama

Agent riset

Label kepercayaan

Buat prototipe dulu

Jalur pemasangan

Perintah siap

Gunakan saat

  • Alur kerja Agent riset
  • Tim Claude Code
  • builders willing to evaluate younger projects

Bukti

  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 62/100
  • 1 event interaksi OpenAgentSkill

tinjau dulu

  • 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.

Jalur implementasi

  1. 1Pasang di Agent sandbox dan jalankan satu tugas Agent riset dari awal hingga akhir.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Profil kepercayaan

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

56
Trust Score OpenAgentSkill

Adopsi GitHub

Periksa

38 star GitHub

Aktivitas star/fork

Periksa

38 star dan 30 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

Diperbarui hari ini

Kejelasan lisensi

Lulus

MIT

Sinyal positif

  • Tinjauan AI disetujui
  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Repositori yang baru dipelihara
  • Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
  • Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama

Tinjau sebelum memasang

  • 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
  • Belum ada laporan hasil Agent nyata
  • Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan

Tindakan yang disarankan

Choose a stronger alternative or inspect the source manually before any install attempt.

Profil kualitas

Menjanjikan kandidat untuk alur kerja Agent

Useful candidate, but compare it with alternatives before adopting.

62
Star GitHub
38
Keterkinian
Hari ini
Siap dipasang
Ya
Lisensi
MIT
Tinjau sebelum memasang: 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.

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

Ringkasan

--- 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 &lt;session&gt;` 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 &lt;id&gt;` 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

Detail teknis

Versi
1.0.0
Lisensi
MIT
Pembaruan terakhir
23 Agu 2026
Diterbitkan
21 Agu 2026

Ringkasan keputusan

Kandidat cadangan

61
Siap
Prototipe
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

73
Perlu ditinjau
Keamanan
72/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
Tingkat sukses
Kegagalan terbaru
Hasil
0
Kualitas output
Gagal
0
Tidak relevan
0
Pemasangan
0
Diblokir risiko
0
Perlu penyiapan
0
Produksi
0

Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.

Pasang

Tambahkan ke alur Agent

Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.

Siklus pertumbuhan

Kit berbagi

X

Draf berbasis skenario untuk backlink, siap untuk posting manual di X.

Catatan kurator
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
Buka draf X
Balasan opsional dengan perintah pemasangan
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
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator
yan-labs
Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan yan-labs, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/yan-labs-backlink?metric=listed&label=Listed)](https://www.openagentskill.com/skills/yan-labs-backlink)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/yan-labs-backlink?metric=trust&label=Trust)](https://www.openagentskill.com/skills/yan-labs-backlink)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/yan-labs-backlink?metric=audit&label=Audit)](https://www.openagentskill.com/skills/yan-labs-backlink/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/yan-labs-backlink?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/yan-labs-backlink)

Penulis

Y

yan-labs

@yan-labs

Sinyal kesehatan

Star GitHub
38
Skor kualitas
34/100
Push GitHub terakhir
23 Agu 2026
Petunjuk framework
Tidak diketahui
Tampilan OpenAgentSkill
1
Salinan pemasangan
0
Klik keluar
0

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Kepercayaan & keamanan

Do not auto-install

56
  • Adopsi GitHub38 star GitHubPeriksa
  • Aktivitas star/fork38 star dan 30 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
  • Pemeliharaan terbaruDiperbarui hari iniLulus
  • Kejelasan lisensiMITLulus
  • Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
  • Risiko dependensi/runtimecommand execution surface, network or browser surfacePeriksa