Zach Feature Demand Validator

What it does

When your agent uses it

• Tasks that involve E-commerce operations

Example prompts

• “/zach-feature-demand-validator”

Requirements

• Python 3
• Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Glob, Grep, WebSearch, WebFetch, mcp__sorftime__product_reviews, mcp__sorftime__keyword_detail, mcp__sorftime__keyword_extends

Workflow steps

7 steps, taken from the step headings in SKILL.md.

1. 1：解析任务与构造关键词
2. 2：Review 信号采集
3. 3：关键词信号采集
4. 4：社区信号采集
5. 5：综合判定
6. 6：生成报告
7. 7：交付校验

What it can do on your machine

Read from SKILL.md and the folder at commit 5c790ea. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Edit
  • Bash
  • Glob
  • Grep
  • WebSearch
  • WebFetch
  • mcp__sorftime__product_reviews
  • mcp__sorftime__keyword_detail

  …and 1 more on the same allowed-tools line.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 5 files in scripts/ (Python, from the files we listed), which the agent can run.

  Shell commands in SKILL.md call:

  • python3

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • amazon.com
  • trends.google.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Zach Feature Demand Validator loads about 2.3k tokens when it runs, and up to ~7.4k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 646 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~36

When it runs · the whole SKILL.md, loaded when a task matches

~2.3k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~7.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Read, Write, Edit, Bash, Glob, Grep, WebSearch, WebFetch, mcp__sorftime__product_reviews, mcp__sorft

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from zach22-1999/amazon-skills at commit 5c790ea, republished under its MIT licence (© zach22-1999). 646 words, ~2,311 tokens.

name

zach-feature-demand-validator

description

功能需求真伪验证器。用三维数据（Review/关键词/社区）验证微创新是否真实需求。 使用时机：品类选定后评估微创新、竞品分析发现差异点后判断要不要跟进。 触发词：/zach-feature-demand-validator

allowed-tools

Read, Write, Edit, Bash, Glob, Grep, WebSearch, WebFetch, mcp__sorftime__product_reviews, mcp__sorftime__keyword_detail, mcp__sorftime__keyword_extends

benefits-from

zach-product-research

user-invocable

true

risk-level

low

review_source_pack/
├── source_manifest.json
└── raw/
    ├── reviews.csv
    ├── reviews.txt
    └── reviews.html

python3 skills/zach-feature-demand-validator/scripts/parse_reviews.py \
  --input <reviews.json> \
  --asin <ASIN> \
  --keywords "steam,steamer,steaming" \
  --source-url "sorftime://product_reviews/<ASIN>" \
  --output <数据源目录>/01_review_信号_原始数据.csv

py -3 skills/zach-feature-demand-validator/scripts/parse_reviews.py `
  --input <reviews.json> `
  --asin <ASIN> `
  --keywords "steam,steamer,steaming" `
  --source-url "sorftime://product_reviews/<ASIN>" `
  --output <数据源目录>\01_review_信号_原始数据.csv

python3 skills/zach-feature-demand-validator/scripts/parse_review_source_pack.py \
  --pack <review_source_pack> \
  --keywords "steam,steamer,steaming" \
  --output <数据源目录>/01_review_信号_原始数据.csv

python3 skills/zach-feature-demand-validator/scripts/generate_keyword_csv.py \
  --type detail \
  --data <detail.json> \
  --source-ref "keyword_detail:steam air fryer" \
  --output <数据源目录>/02_keyword_信号_搜索量数据.csv

python3 skills/zach-feature-demand-validator/scripts/generate_community_csv.py \
  --data <community.json> \
  --source-ref 'site:reddit.com "air fryer steam"' \
  --output <数据源目录>/05_社区_信号_讨论摘要.csv

python3 skills/zach-feature-demand-validator/scripts/validate_deliverables.py --dir <output_dir>

outputs/feature-validation/
├── YYYY-MM-DD_[品类]_[功能]_功能需求验证报告.md
└── YYYY-MM-DD_[品类]_[功能]_数据源/
    ├── 01_review_信号_原始数据.csv
    ├── 02_keyword_信号_搜索量数据.csv
    ├── 03_keyword_信号_趋势数据.csv
    ├── 04_keyword_信号_延伸词.csv
    ├── 05_社区_信号_讨论摘要.csv
    └── review_source_pack/               # 仅 fallback 场景需要
        ├── source_manifest.json
        └── raw/

© zach22-1999, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 17 other files (scripts, references) in skills/zach-feature-demand-validator of zach22-1999/amazon-skills.

• SKILL.md
• README.md
• examples/review-source-pack/README.md
• examples/review-source-pack/raw/reviews.csv
• examples/review-source-pack/raw/reviews.txt
• examples/review-source-pack/source_manifest.json
• references/csv_schema.md
• references/judgment_criteria.md
• references/keyword_construction_guide.md
• references/report_template.md
• references/review_fallback_pack.md
• scripts/WINDOWS_USAGE.md
• scripts/__init__.py
• scripts/generate_community_csv.py
• scripts/generate_keyword_csv.py
• scripts/parse_review_source_pack.py
• … and 2 more

Open the folder on GitHubat commit 5c790ea

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in zach22-1999/amazon-skills, which our catalogue first saw on October 7, 2026.

• aiskillstore/marketplaceskills/zach22-1999/zach-feature-demand-validator