Agent skill

Sif Keyword Tracker

by binggandata in binggandata/bggg-skills

Sif 关键词动态跟踪(Skill 2)。同一 ASIN 有历史时由 sif-keyword-scout 自动触发, 按 1~7 天窗口对比 PD 主攻词单,输出词库更新报告。Agent 必须写 insightstracker.md, 且在写 insights 前完成暂停点 ③ 与用户确认投放策略。

MITAuto-check passed

Install Sif Keyword Tracker

skills CLI
$ npx skills add binggandata/bggg-skills --skill sif-keyword-tracker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install binggandata/bggg-skills sif-keyword-tracker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/binggandata/bggg-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sif-keyword-tracker .claude/skills/sif-keyword-tracker && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sif-keyword-tracker
GitHub stars
605
Token cost
~383 tokens
SKILL.md length
72 words
Files
3 (incl. scripts)
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Sif 关键词动态跟踪(Skill 2)。同一 ASIN 有历史时由 sif-keyword-scout 自动触发, 按 1~7 天窗口对比 PD 主攻词单,输出词库更新报告。Agent 必须写 insightstracker.md, 且在写 insights 前完成暂停点 ③ 与用户确认投放策略。

  • SKILL.md covers 对比基准选择(1~7 天窗口), 两轮流程(与 Skill 1 相同), 报告结构 and 产出
  • Runs Python scripts from its folder; calls python

What it does

Sif Keyword Tracker is an agent skill from binggandata/bggg-skills. Sif 关键词动态跟踪(Skill 2)。同一 ASIN 有历史时由 sif-keyword-scout 自动触发, 按 1~7 天窗口对比 PD 主攻词单,输出词库更新报告。Agent 必须写 insightstracker.md, 且在写 insights 前完成暂停点 ③ 与用户确认投放策略。

Its SKILL.md is about 380 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `README.md` and `scripts/compare_versions.py`).

The repository describes itself as: Open-source Codex skills from BGGG. The licence is MIT.

Example prompts

  • “/sif-keyword-tracker”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 1034ee5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

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

  • Network

    No URLs in SKILL.md.

    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

Sif Keyword Tracker loads about 383 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 72 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~383

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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 binggandata/bggg-skills at commit 1034ee5, republished under its MIT licence (© binggandata). 72 words, ~383 tokens.

Download SKILL.mdSave it as .claude/skills/sif-keyword-tracker/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
sif-keyword-tracker
description
Sif 关键词动态跟踪(Skill 2)。同一 ASIN 有历史时由 sif-keyword-scout 自动触发, 按 1~7 天窗口对比 PD 主攻词单,输出词库更新报告。Agent 必须写 insights_tracker.md, 且在写 insights 前完成暂停点 ③ 与用户确认投放策略。

Sif 关键词动态跟踪(Skill 2)

通常由 Skill 1 Step 10 触发。单独运行时同样遵循 暂停点 ③(见 scout 的 amazon-expert-guide.md)。

对比基准选择(1~7 天窗口)

powershell
python "{scripts.check_history}" --asin {ASIN} --output-dir "{output_dir}" --curr-date {DATE}

返回 compare_prev_result_dir、compare_note、compare_days_apart。

规则说明
优先按原数据日期(文件夹 YYYYMMDD / 原始表后缀)在 1~7 天窗口内选上一期,如 20260610 → 20260611
同日多次仅当没有可比的异日数据时,才对比同日前一次运行(同日重跑)
超出窗口回退到紧邻上一次异日数据(报告会标注 warning)

注意:0611 是数据日期,不是「今天跑脚本的日子」。对比的是两期 Sif 导出数据,不是同日重复执行。

两轮流程(与 Skill 1 相同)

第一轮:对比 + stats

powershell
python "{scripts.compare_versions}" --auto --output-root "{output_dir}" --output-dir "{result_dir}" --asin {ASIN} --curr-date {DATE} --skip-word

暂停点 ③(强制)

读取 {ASIN}_tracker_stats_{DATE}.json,向用户解读:

  • 新增 / 消失词(含 S 级变化)
  • SS 稳定词、搜索量与份额波动
  • 试投 / 暂停 / 观察 建议

用户确认后才写 insights_tracker.md(必须针对本次数据,勿用模板凑数)。

第二轮:生成 Word

powershell
python "{scripts.compare_versions}" --auto --output-root "{output_dir}" --output-dir "{result_dir}" --asin {ASIN} --curr-date {DATE} --insights-file "{result_dir}/insights_tracker.md"

报告结构

  • 数据段(脚本):变化摘要、新增/消失清单(含 S 级)、SS 稳定词、搜索量/份额表
  • AI 段(Agent):策略解读、逐词建议、投放调整行动清单(须反映暂停点 ③ 与用户达成的共识)

产出

{result_dir}/{ASIN}_词库更新报告_{DATE}.docx

© binggandata, 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 2 other files (scripts) in sif-keyword-tracker of binggandata/bggg-skills.

  • SKILL.md
  • README.md
  • scripts/compare_versions.py

Open the folder on GitHubat commit 1034ee5

Compare with similar skills

Sif Keyword Tracker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Sif Keyword Tracker compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sif Keyword Tracker this skillbinggandata/bggg-skills605—~383Automated safety check: PassMIT
Amazon Keyword Trackernexscope-ai/Amazon-Skills744—~4.9kAutomated safety check: PassMIT
Keyword Velocity Trackeraipoch/medical-research-skills1.9k—~2.6kAutomated safety check: PassMIT
Agent Issue Trackerruvnet/ruflo74k2 repos~2.4kAutomated safety check: PassMIT
Agent Scout Explorerruvnet/ruflo74k2 repos~1.6kAutomated safety check: PassMIT
SEO Aeo Keyword Researchsickn33/agentic-awesome-skills47k1 repos~3.9kAutomated safety check: PassMIT

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Questions about Sif Keyword Tracker

What does Sif Keyword Tracker do?

Sif 关键词动态跟踪(Skill 2)。同一 ASIN 有历史时由 sif-keyword-scout 自动触发, 按 1~7 天窗口对比 PD 主攻词单,输出词库更新报告。Agent 必须写 insightstracker.md, 且在写 insights 前完成暂停点 ③ 与用户确认投放策略。. Sif Keyword Tracker is an agent skill from binggandata/bggg-skills.

How do I install Sif Keyword Tracker in Claude Code?

Run `npx skills add binggandata/bggg-skills --skill sif-keyword-tracker -a claude-code`. Or copy the skill folder (sif-keyword-tracker in binggandata/bggg-skills) into .claude/skills/sif-keyword-tracker in your project. Claude Code loads it when a task matches its description.

How do I install Sif Keyword Tracker in Codex?

Run `npx skills add binggandata/bggg-skills --skill sif-keyword-tracker -a codex`. Or copy the skill folder (sif-keyword-tracker in binggandata/bggg-skills) into .agents/skills/sif-keyword-tracker in your project. Codex loads it when a task matches its description.

Can I use Sif Keyword Tracker in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add binggandata/bggg-skills --skill sif-keyword-tracker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sif-keyword-tracker, .gemini/skills/sif-keyword-tracker, .github/skills/sif-keyword-tracker and .opencode/skills/sif-keyword-tracker in your project.

What does Sif Keyword Tracker need to run?

Going by SKILL.md and its folder, Sif Keyword Tracker needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Sif Keyword Tracker access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sif Keyword Tracker safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Sif Keyword Tracker use?

Sif Keyword Tracker is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sif Keyword Tracker use?

About 383 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Sif Keyword Tracker?

Skills that share tags, products or a category with Sif Keyword Tracker: Amazon Keyword Tracker (nexscope-ai/Amazon-Skills, 744 stars), Keyword Velocity Tracker (aipoch/medical-research-skills, 1.9k stars), Agent Issue Tracker (ruvnet/ruflo, 74k stars) and Agent Scout Explorer (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sif Keyword Tracker?

binggandata (a GitHub user) maintains it in binggandata/bggg-skills, which has 605 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 13, 2026.

Source: binggandata/bggg-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.