ai-sbti-skill-test
/install ai-sbti-skill-test
基于AI的SBTI技能测试
Use this skill when the task is to grow organic traffic for https://aisbti.com/ via external backlinks while keeping anchor diversity, indexability, and internal weight relay under control.
Goal
- Prioritize backlink prospects by expected SEO weight transfer.
- Keep off-page execution compliant with search engine quality expectations.
- Convert external link gains into internal relay actions that push weight to priority pages.
Scope
- Primary site:
https://aisbti.com/ - Primary focus: external backlinks, anchor governance, and link-juice transfer planning.
- Secondary focus: internal relay links from linked landing pages to conversion pages.
Safety Rules
- White-hat only. No private blog network, paid link schemes, or cloaked redirects.
- Prefer editorial and niche-relevant sources; avoid spammy directories and comment blasts.
- Do not overuse exact-match anchors.
- Keep credentials in runtime secrets:
/root/.openclaw/workspace/.secrets/ai-sbti-skill-test.env - Never store credentials under
skills/.
Files
- Planner script:
scripts/build_weighted_backlink_plan.py - OpenClow runner:
scripts/run_weighted_backlink_plan.sh - Runtime config template:
config/ai-sbti-skill-test.env.example - Prospect CSV template:
config/backlink-prospects.example.csv - Relay map CSV template:
config/internal-relay-map.example.csv - SEO standard:
references/seo-link-building-standard.md - Agent metadata:
agents/openai.yaml
Required Inputs
- Prospect CSV with candidate backlink opportunities.
- Target URLs on
aisbti.comwhere backlinks should land. - Optional relay map CSV to define internal link-juice transfer targets.
Workflow
- Prepare runtime env from
config/ai-sbti-skill-test.env.example. - Fill prospect candidates in CSV.
- Optionally define internal relay map.
- Run weighted planner script.
- Review markdown and JSON outputs.
- Execute outreach/submission using top-scored opportunities first.
- Re-run weekly with fresh candidates and updated outcomes.
Before large campaigns, read references/seo-link-building-standard.md to enforce anchor distribution, source quality thresholds, and pacing.
Quick Start
Prepare env:
mkdir -p /root/.openclaw/workspace/.secrets
cp skills/ai-sbti-skill-test/config/ai-sbti-skill-test.env.example \
/root/.openclaw/workspace/.secrets/ai-sbti-skill-test.env
chmod 600 /root/.openclaw/workspace/.secrets/ai-sbti-skill-test.env
Generate weighted execution plan:
bash skills/ai-sbti-skill-test/scripts/run_weighted_backlink_plan.sh
Run planner directly:
python3 skills/ai-sbti-skill-test/scripts/build_weighted_backlink_plan.py \
--site-url https://aisbti.com \
--input-csv /root/.openclaw/workspace/ops/aisbti-seo/backlink-prospects.csv \
--output-md /root/.openclaw/workspace/ops/aisbti-seo/weighted-backlink-plan.md \
--output-json /root/.openclaw/workspace/ops/aisbti-seo/weighted-backlink-plan.json \
--relay-map /root/.openclaw/workspace/ops/aisbti-seo/internal-relay-map.csv \
--min-score 35 \
--top-n 40 \
--money-keyword "sbti test" \
--money-keyword "screaming bird test indicator"
Completion Criteria
- A scored prospect list is generated and sorted by expected SEO value.
- Non-compliant opportunities are flagged or filtered.
- Anchor mix checks are generated to reduce over-optimization risk.
- Internal relay recommendations exist for weight transfer from linked pages.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install ai-sbti-skill-test - 安装完成后,直接呼叫该 Skill 的名称或使用
/ai-sbti-skill-test触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
ai-sbti-skill-test 是什么?
AI-based SBTI skill test SEO operations for https://aisbti.com/ with weighted backlink scoring, internal link-juice relay planning, and safe anchor distribut... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 111 次。
如何安装 ai-sbti-skill-test?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-sbti-skill-test」即可一键安装,无需额外配置。
ai-sbti-skill-test 是免费的吗?
是的,ai-sbti-skill-test 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
ai-sbti-skill-test 支持哪些平台?
ai-sbti-skill-test 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 ai-sbti-skill-test?
由 Weiping Cai(@cweiping)开发并维护,当前版本 v1.0.0。