zach-seller-skill-creator

zach-seller-skill-creator is a skill for Claude Code, Codex from zach22-1999/amazon-skills. It costs 203 tokens per session (8,019 once invoked), scanned A, original, MIT.

A Chinese-language guide for Amazon sellers who want to turn repeated work processes into reusable skills for an AI agent.

In plain words
What is it for?
Creating or improving skills for Amazon operations, content work, and daily workflows, including research, writing instructions, testing, and packaging.
Why use it?
It prevents vague requests from becoming shallow automations by first collecting six kinds of business information and then testing the result.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

Good fit Creating or improving skills for Amazon operations, content work, and daily workflows, including research, writing instructions, testing, and packaging.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zach22-1999/amazon-skills/zach-seller-skill-creator
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zach22-1999/amazon-skills --skill zach-seller-skill-creator
Clone the repo
git clone --depth 1 https://github.com/zach22-1999/amazon-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for zach-seller-skill-creator

README.md
[![agentmods](https://agentmods.dev/badge/skills/zach22-1999/amazon-skills/zach-seller-skill-creator/github.svg)](https://agentmods.dev/skills/zach22-1999/amazon-skills/zach-seller-skill-creator)
Your own site
<a href="https://agentmods.dev/skills/zach22-1999/amazon-skills/zach-seller-skill-creator"><img src="https://agentmods.dev/badge/skills/zach22-1999/amazon-skills/zach-seller-skill-creator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for zach-seller-skill-creator

Your own site · 80×15
<a href="https://agentmods.dev/skills/zach22-1999/amazon-skills/zach-seller-skill-creator"><img src="https://agentmods.dev/badge/skills/zach22-1999/amazon-skills/zach-seller-skill-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 203 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,019 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 353
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00203 $0.08019
Opus 5 $0.00102 $0.04009
Sonnet 5 $0.00041 $0.01604
Haiku 4.5 $0.00020 $0.00802

Measured 13d ago against content hash 7678ba58976f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

zach-seller-skill-creator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

The scan reads SKILL.md. This mod also ships 10 executable files (eval-viewer/generate_review.py, scripts/__init__.py, scripts/aggregate_benchmark.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/zach-seller-skill-creator/SKILL.md · 609 lines

How it starts

The opening of the file, as written. The whole thing — 609 lines — stays where its author put it; the contents beside it link to each section on GitHub.

卖家 Skill 创建器

这是一个中文版的 skill 创建器,基于 Anthropic 官方 skill-creator 重构,针对亚马逊卖家(AI 基础较弱但有丰富业务经验的用户)优化。

核心差异:6 问硬门禁

官方 skill-creator 上来就问"这个 skill 要做什么"。卖家用户经常给出空洞的答案(比如"帮我做关键词分析"),导致产出的 skill 只是一份说明书、没有业务深度。

本 skill 在官方流程前插入 6 个强制问题。这 6 个问题是硬门禁——任何一个为空或答得敷衍,不得进入写 SKILL.md 的阶段。


工作流总览

【阶段 0】6 问硬门禁  ← 卖家版新增
    ↓
【阶段 1】意图澄清(基于阶段 0 已收集结果)
    ↓
【阶段 2】调研补齐
    ↓
【阶段 3】写 SKILL.md 初稿
    ↓
【阶段 4】写测试用例(2-3 个)
    ↓
【阶段 5】并行跑 with-skill + 基线
    ↓
【阶段 6】评分 + HTML 可视化
    ↓
【阶段 7】根据反馈迭代改进
    ↓
(可选)描述优化 + 打包

你的工作是根据用户当前所处的阶段,引导他们推进。如果用户直接说"我不想搞这么多测试,随便写个 skill 就行",可以跳过阶段 4-7,但阶段 0 的 6 问门禁不能跳过


与用户沟通的风格

用户群体:亚马逊卖家。可能对代码、JSON、断言(assertion)、基准(benchmark)等术语不熟悉。

沟通规则:

  • 默认用中文对话
  • 术语第一次出现时配一句通俗解释(例:"assertion——就是用来判断 skill 输出合不合格的具体标准")
  • 不要动辄写"必须 MUST、绝对 NEVER"这样的强硬指令,而是解释"为什么这样做"
  • 读到用户有明显的技术背景信号(会聊脚本、Git、JSON),可以切换到更专业的表达

禁用词(继承工作区规则):赋能、抓手、综上所述、一言以蔽之、多维度赋能。


【阶段 0】6 问硬门禁

阶段 0 的正式执行脚本在 references/6问引导式流程.md。先读它,再开始问。不要references/6问模板.md 当成用户填写入口发出去。

阶段 0 的主协议

  • 必须顺序走 Q1 → Q6,一个主题走完再进入下一个
  • 每个主题优先用选项题,再用 1 段短简答补具体信息
  • 选项里要主动使用亚马逊卖家预设,帮助用户点选:
    • 业务类型:自动化、风险监控、决策支持、团队交付
    • 工具/数据源:Sorftime、领星、SIF、本地 Excel/CSV/TXT、飞书表格、人工粘贴
    • 判断框架:BCG 健康阈值、异常阈值、趋势对比、优先级分层
  • 不提供“整份 6 问模板发给用户填写”的入口
  • 如果用户一上来贴长文,先拆回当前主题,继续逐层补问,不要直接视为阶段 0 完成

6 维答案到 SKILL.md 的映射

阶段 0 收集完后,把结果对应到 SKILL.md 的这些段落:

阶段 0 维度 映射到 SKILL.md 的哪里
Q1 业务目标 ## 业务背景 段(解释 why)
Q2 现有做法 ## 当前工作流(人工版) 段(基线对照)
Q3 具体步骤 ## Skill 工作流(自动版) 段(主干指令,转成编号步骤)
Q4 方法论 ## 核心原则 / 踩坑规避 段(对应官方的 principles 概念)
Q5 调用方式 YAML description 字段 + ## 触发场景
Q6 期望输出 ## 输出规范

硬门禁规则

采用“逐题门禁 + 阶段末总门禁”:

  • 每一题结束时,先检查这一题是否已经具体到能落文档
  • 任意一题出现以下情况,不得进入下一题,必须当场补问:
    • 为空:用户跳过没回答
    • 敷衍:答案只有一句话且不具体(例如 Q3 只回答“做数据分析”)
    • 矛盾:Q2 说“没做过”,Q3 却列了成熟流程,需要澄清真实状态
    • 只谈动作不谈判断:Q3 只有步骤顺序,没有任何“如果……则……”逻辑
    • 只谈经验不谈规则:Q4 只有“看经验”“综合判断”,没有具体阈值、优先级或例外条件
    • 只谈结果不谈落点:Q6 只说“给我报告”,没说保存到哪里或如何算完成

Read the full file on GitHub · 609 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 609 lines · 203 tokens per session scan A 7678ba58976f

Subscribe to this mod's changes

zach-seller-skill-creator is a skill published in the GitHub repository zach22-1999/amazon-skills (188 stars, last pushed 23d ago), licensed MIT. It adds 203 tokens to every session and 8,019 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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