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Taobao Advisor

v1.0.0

投流方案生成&全周期运营指导 - 仅生成方案/建议/报告,不执行任何投流操作,仅读 API 权限

0· 92·1 current·1 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for guowaa223/taobao-advisor.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Taobao Advisor" (guowaa223/taobao-advisor) from ClawHub.
Skill page: https://clawhub.ai/guowaa223/taobao-advisor
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required binaries: python3
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install taobao-advisor

ClawHub CLI

Package manager switcher

npx clawhub@latest install taobao-advisor
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
The name/description promise a read-only plan/advice generator — the included Python script implements local report generation (Excel/MD) and does not perform write operations to external ad platforms. Dependencies (pandas, openpyxl) match that purpose. However metadata and docs mention optional Taobao API usage (read-only) but the skill does not declare or require any Taobao API environment variables; requirements include 'requests' though the current code doesn't use it. There is also an ownerId mismatch between registry metadata and _meta.json, which suggests packaging dishonesty or an incorrect import.
Instruction Scope
SKILL.md and README instruct running the included script to generate reports and explicitly state the tool will not execute ad operations. The code creates local 'reports' and 'logs' files and prints reminders to perform manual actions. There are no network calls or unexpected external endpoints in the code as provided.
Install Mechanism
No install spec; this is an instruction+code skill. Dependencies are provided in requirements.txt (standard PyPI packages). Nothing is downloaded from arbitrary URLs or executed during install.
!
Credentials
The script calls load_dotenv() and the README references a .env.example/.env for optional Taobao API keys, but the skill manifest lists no required env vars and the package as delivered does not include .env.example in the file manifest. That mismatch means the skill could read secrets from a .env if present (potentially API keys) even though no API usage is implemented today. The presence of 'requests' in requirements increases the potential blast radius if the code is modified later to call external APIs. Also the _meta.json ownerId differs from the registry ownerId, which raises provenance concerns.
Persistence & Privilege
always=false and user-invocable=true. The skill only writes logs and report files under its own directory (./logs, ./reports). It does not request persistent system-wide privileges or modify other skills' configs.
What to consider before installing
Key things to consider before installing or running: - Provenance: verify the skill author/owner (ownerId mismatch in _meta.json vs registry) before trusting it with secrets or production use. - Do not place any sensitive credentials in a .env file in the skill directory until you audit the code. The script calls load_dotenv() and would read any env vars present, even though current code does not use external APIs. - The bundle is currently buggy: the main script contains syntax/argparse issues (non-ASCII/fullwidth commas and unusual option names) that will likely cause the CLI to crash; treat it as not production-ready and review/fix code before use. - Run in a sandboxed environment (isolated VM or container) and inspect the code yourself (or have a developer review it). Check for hidden network calls or added code that could use 'requests' to exfiltrate data. - If you intend to use Taobao API keys for optional features, only provide minimal read-only credentials, store them securely, and confirm the skill actually needs them. Prefer creating a limited test account for this skill. - Suggested remediation before trusting: fix the CLI syntax errors, remove unnecessary dependency 'requests' if not used, add an explicit list of expected environment variables if API calls are supported, and correct the metadata/packaging inconsistencies. Confidence is medium because the code is straightforward and presently local-only, but the provenance/packaging mismatches and the presence of dotenv + unused networking deps introduce nontrivial risk if the package is modified or the missing files are added later.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

📊 Clawdis
OSWindows
Binspython3
latestvk971r03bztv55zxk5z19axv1z583w35n
92downloads
0stars
1versions
Updated 4w ago
v1.0.0
MIT-0
Windows

投流方案生成&全周期运营指导 Skill

⚠️ 重要安全声明

本技能严格遵守以下安全铁律:

  1. 不执行投流操作 - 仅生成方案、优化建议、复盘报告,所有资金操作由人工执行
  2. 仅读 API 权限 - 仅申请投流数据读取权限,不申请任何写权限
  3. 男装非标品特性 - 100% 贴合男装类目,符合万相台无界、直通车最新规则
  4. 人工确认执行 - 所有建议必须人工审核后手动执行

功能概述

核心功能模块(仅生成建议)

模块功能输出物人工确认
新品测款方案7 天测款方案生成《新品测款投流方案》✅ 必须
优化建议生成每 2 小时数据监控《投流调整审核表》✅ 必须
复盘报告生成日/周/月复盘投流日报/周报/月报✅ 必须
全周期运营指导新品/成长/爆发/换季《运营指导手册》✅ 必须

使用命令

1. 新品测款方案生成

python scripts/advisor_main.py test-plan --款号 KZ20260326 --预算 5000 --周期 7

2. 优化建议生成

python scripts/advisor_main.py optimize --计划 ID 12345 --时间范围 今日

3. 复盘报告生成

python scripts/advisor_main.py review --周期 日 --日期 2026-03-26

4. 全周期运营指导

python scripts/advisor_main.py lifecycle --款号 KZ20260326 --阶段 新品期

输出物

1. 《新品测款投流方案》(Excel)

2. 《投流调整审核表》(Excel)

3. 投流日报/周报/月报

4. 《商品全周期运营指导手册》

5. 《每日运营关键操作清单》


安全与合规声明

本技能不会:

  • ❌ 执行任何投流计划创建/调整
  • ❌ 执行任何出价/预算修改
  • ❌ 执行任何计划启停操作
  • ❌ 申请任何写权限 API
  • ❌ 越权操作投流数据

本技能仅支持:

  • ✅ 生成投流方案
  • ✅ 生成优化建议
  • ✅ 生成复盘报告
  • ✅ 生成运营指导
  • ✅ 读取投流数据(仅读)

📊 投流方案生成 — 仅生成建议,人工执行,合规第一

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