Build Industry Knowledge System
Reusable Codex Skill for building complete industry knowledge systems
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 + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add xianxie6/build-industry-knowledge-system
Maintenance
fresh
9d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
30
72/100 Quality · 76/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Low GitHub adoption signal
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
30 GitHub stars
Repo activity
30 stars, 6 forks
Maintenance
9d since push
License
MIT
Install
npx skills add xianxie6/build-industry-knowledge-system
Install safety
standard package or runtime install path
Permission surface
shell or command execution, database access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 30 GitHub stars
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 xianxie6/build-industry-knowledge-system
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 68/100
- Audit
- 81/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add xianxie6/build-industry-knowledge-systemDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution
Alternative
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
Alternative
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent safety v2
53/100 · 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
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Database access
Skill may inspect schemas, query databases, or work with persistent stores.
- High-risk permission hints: Shell or command execution
- Financial research output is not financial advice; require human review before any live investment decision
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 xianxie6-build-industry-knowledge-systemAgent 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%20Build%20Industry%20Knowledge%20System%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Build%20Industry%20Knowledge%20System%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/xianxie6-build-industry-knowledge-system/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 Build Industry Knowledge System in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Build%20Industry%20Knowledge%20System%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/xianxie6-build-industry-knowledge-system/install
Install command: npx skills add xianxie6/build-industry-knowledge-system
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/xianxie6-build-industry-knowledge-system/install
LLM text format
/api/skills/xianxie6-build-industry-knowledge-system/install?format=text
Find alternatives
/api/skills/search?q=Build%20Industry%20Knowledge%20System&limit=3
Agent prompt
Use Build Industry Knowledge System for this task. Review https://www.openagentskill.com/api/skills/xianxie6-build-industry-knowledge-system/install, then install with: npx skills add xianxie6/build-industry-knowledge-systemRegistry 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/xianxie6-build-industry-knowledge-system
LLM text
/api/registry/manifest/xianxie6-build-industry-knowledge-system?format=text
Install alias
/api/registry/install/xianxie6-build-industry-knowledge-system
Recommend
/api/registry/recommend?task=Use%20Build%20Industry%20Knowledge%20System%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Python, Claude Code, OpenAI Agents
Audit report
Needs review · 81/100
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
- 72/100 quality profile
review first
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
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
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK30 GitHub stars
Stars/forks activity
CHECK30 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS9d since push
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
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 30 GitHub stars
- Stars/forks activity: 30 stars, 6 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
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.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
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.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Compare before you install
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
Overview
# Build Industry Knowledge System
一套可复用的 Codex Skill,用于从零搭建任意行业的完整认知体系。
## 五个模块
1. 建立行业数据库:品牌、产品、痛点、关键词、社区、竞品、商业模式、机会点。 2. 深度分析竞品网站:产品架构、Offer、转化、内容、SEO 与商业模式。 3. 分析平台 Top 账号与内容:定位、内容类型、爆款结构与可执行策略。 4. 生成三级行业知识地图:节点关系、增长信号、竞争强度与机会排序。 5. 搭建持续情报系统:信息源订阅、竞品监控、趋势追踪和行业周报。
## 安装
将 `build-industry-knowledge-system` 文件夹复制到:
```text ~/.codex/skills/ ```
也可以下载仓库内的 `build-industry-knowledge-system.skill.zip` 后解压安装。
## 使用
```text 使用 $build-industry-knowledge-system 从头到尾搭建美国宠物补充剂行业认知体系。 ```
也可以只执行一个模块:
```text 使用 $build-industry-knowledge-system 深度分析竞品网站 example.com。 ```
五条可复用任务提示词位于:
```text build-industry-knowledge-system/references/task-prompts.md ```
## 自动生成项目骨架
```bash python3 build-industry-knowledge-system/scripts/scaffold_industry_system.py \ --industry "Home Fitness Equipment" \ --market "United States" \ --output "/absolute/path/to/project" ```
## 审计项目完整性
```bash python3 build-industry-knowledge-system/scripts/audit_industry_system.py \ /absolute/path/to/project ```
## 设计原则
- 构建相互连接的决策系统,而不是五份孤立报告。 - 动态事实、排名、价格、规模和法规必须核验并标注日期。 - 明确区分观察事实、分析推断和行动建议。 - 后续模块持续复用并更新前序行业数据库。
Platform compatibility
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 18, 2026
- Published
- Aug 17, 2026
Frameworks & tools
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 82/100
- 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 Build Industry Knowledge System, ready for a manual X post.
Build Industry Knowledge System: A reusable Codex skill for building comprehensive industry knowledge systems with five module... 30 stars https://www.openagentskill.com/skills/xianxie6-build-industry-knowledge-system?ref=x
Optional reply with install command
Listing + install path for Build Industry Knowledge System: https://www.openagentskill.com/skills/xianxie6-build-industry-knowledge-system?ref=x Install: npx skills add xianxie6/build-industry-knowledge-system
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- xianxie6
- 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 Community indexed listing is attributed to xianxie6 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/xianxie6-build-industry-knowledge-system)
[](https://www.openagentskill.com/skills/xianxie6-build-industry-knowledge-system)
[](https://www.openagentskill.com/skills/xianxie6-build-industry-knowledge-system/audit)
[](https://www.openagentskill.com/skills/xianxie6-build-industry-knowledge-system)Author
xianxie6
@xianxie6
Platform fit
Health signals
- GitHub stars
- 30
- Quality score
- 44/100
- Last GitHub push
- Aug 13, 2026
- Framework hints
- 1
- OpenAgentSkill views
- 0
- 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
Sandbox only
- GitHub adoption30 GitHub starsCHECK
- Stars/forks activity30 stars, 6 forks; issue activity unavailable in current metadataCHECK
- Recent maintenance9d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, database surfaceINFO
Related skills
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.
53.5K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsDeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
19.8K Stars