Build Industry Knowledge System

REVIEW · 68
Community indexed

Reusable Codex Skill for building complete industry knowledge systems

Verified installs0
Stars30
Version1.0.0
Quality72/100 · Strong
Trust68/100 · Sandbox only
Audit81/100 · Needs review

Supply asset profile

Research and knowledge work

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

Browse track

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

ResearchResearch agentscodexskillindustry-analysis

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

Strong
72

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
68

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
81

A 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.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

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.

Open JSON

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Search sources

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

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-system

Do 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

Agent safety v2

53/100 · Avoid automatic install

Experimentalreview

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

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

Resolve via API

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.

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 xianxie6-build-industry-knowledge-system

Agent 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 text plan

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.

Open install API

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-system

Registry 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.

Open manifest

Agent fit

71/100

Research agents

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.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Research agents

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

71
Readiness
Prototype
Stage

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

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  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.

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.

68
OpenAgentSkill Trust Score

GitHub adoption

CHECK

30 GitHub stars

Stars/forks activity

CHECK

30 stars, 6 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

9d since push

License clarity

PASS

MIT

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.

72
GitHub stars
30
Freshness
9d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

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

pythonFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 18, 2026
Published
Aug 17, 2026

Frameworks & tools

Python

Decision snapshot

Fallback candidate

71
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

81
Needs review
Security
82/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
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

X

Scenario-led draft for Build Industry Knowledge System, ready for a manual X post.

Curator note
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
Open X draft
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

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
xianxie6
Indexed by
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner 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.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/xianxie6-build-industry-knowledge-system?metric=listed&label=Listed)](https://www.openagentskill.com/skills/xianxie6-build-industry-knowledge-system)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/xianxie6-build-industry-knowledge-system?metric=trust&label=Trust)](https://www.openagentskill.com/skills/xianxie6-build-industry-knowledge-system)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/xianxie6-build-industry-knowledge-system?metric=audit&label=Audit)](https://www.openagentskill.com/skills/xianxie6-build-industry-knowledge-system/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/xianxie6-build-industry-knowledge-system?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/xianxie6-build-industry-knowledge-system)

Author

X

xianxie6

@xianxie6

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

68
  • 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