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
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + Browser agents
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add yan-labs/yan-skills --skill backlink
Maintenance
fresh
Pushed today
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
16
59/100 Quality · 61/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
16 GitHub stars
Repo activity
16 stars, 13 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add yan-labs/yan-skills --skill backlink
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- 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
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Search sources
Suited agents
Install decision
- Command
- npx skills add yan-labs/yan-skills --skill backlink
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 53/100
- Audit
- 71/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add yan-labs/yan-skills --skill backlinkDo not use when
- teams that need a vendor-supported SLA
- 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.
- High-risk permission hints: Shell or command execution
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Agent safety v2
35/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Browser automation
Skill may drive a browser or interact with web pages.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution
- Dependency or permission surface needs review
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
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 resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20backlink%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20backlink%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yan-labs-backlink/install
Agent should check
- 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.
Copy 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.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yan-labs-backlink/install
LLM text format
/api/skills/yan-labs-backlink/install?format=text
Find alternatives
/api/skills/search?q=backlink&limit=3
Agent prompt
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 metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yan-labs-backlink
LLM text
/api/registry/manifest/yan-labs-backlink?format=text
Install alias
/api/registry/install/yan-labs-backlink
Recommend
/api/registry/recommend?task=Use%20backlink%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, OpenAI Agents, Browser agents
Audit report
Needs review · 71/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 59/100 quality profile
- 1 OpenAgentSkill engagement events
review first
- 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.
Implementation path
- 1Install it in a sandbox agent and run one Research agents task end to end.
- 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.
Trust profile
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
FIX16 GitHub stars
Stars/forks activity
FIX16 stars, 13 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- 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: 16 GitHub stars
- Stars/forks activity: 16 stars, 13 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
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
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.
Workflow fit
Add it to a complete workflow
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.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
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Overview
--- 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="3.0" 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(), 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 │ ├── 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 | … │ ├── 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 ├── 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 it. One three-agent run took the owner's Chrome from 11 tabs to 30 orphans. </why> <instead> `--tab` works on `open`, `state`, `extract`, `find`, and `click`. When a read must name its target, use
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 21, 2026
- Published
- Aug 21, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 72/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for backlink, ready for a manual X post.
A practical pick for a web workflow: backlink: OpenCLI-first backlink discovery, profile analysis, opportunity qualification, safe browser-assisted form filling, evidence... 16 stars https://www.openagentskill.com/skills/yan-labs-backlink?ref=x
Optional reply with install command
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
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- yan-labs
- Source
- yan-labs/yan-skills
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to yan-labs but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](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)Author
yan-labs
@yan-labs
Tags
Platform fit
Health signals
- GitHub stars
- 16
- Quality score
- 32/100
- Last GitHub push
- Aug 21, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Do not auto-install
- GitHub adoption16 GitHub starsFIX
- Stars/forks activity16 stars, 13 forks; issue activity unavailable in current metadataFIX
- Recent maintenancePushed todayPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, network or browser surfaceCHECK
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