Excel and CSV Data Analysis
bytedance/deer-flow
Analyzes uploaded Excel and CSV files with SQL through DuckDB, producing schema inspections, statistical summaries and exports to CSV, JSON or Markdown.
查询游戏舆情核心指标。支持声量、情绪分布、Brand Health、互动量、分渠道/分语种分布、Steam 评论评分、社区指标等。当用户询问游戏的"舆情"、"口碑"、"声量"、"情绪"、"评分"、"社媒表现"、"正负面评价"、"玩家讨论"、"Brand Health"时触发。
No licenceAuto-check passed
Install Databrain Opinion Metrics
$ npx skills add infometa/workbuddyskills --skill databrain-opinion-metrics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills databrain-opinion-metrics --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/tiderider-sentiment/skills/databrain-opinion-metrics .claude/skills/databrain-opinion-metrics && rm -rf skills-srcUse ~/.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/
Install the "databrain-opinion-metrics" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-opinion-metrics into .claude/skills/databrain-opinion-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-opinion-metrics", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-opinion-metricsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add infometa/workbuddyskills --skill databrain-opinion-metrics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills databrain-opinion-metrics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experts/tiderider-sentiment/skills/databrain-opinion-metrics .agents/skills/databrain-opinion-metrics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "databrain-opinion-metrics" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-opinion-metrics into .agents/skills/databrain-opinion-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-opinion-metrics", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add infometa/workbuddyskills --skill databrain-opinion-metrics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills databrain-opinion-metrics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experts/tiderider-sentiment/skills/databrain-opinion-metrics .cursor/skills/databrain-opinion-metrics && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "databrain-opinion-metrics" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-opinion-metrics into .cursor/skills/databrain-opinion-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-opinion-metrics", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/infometa/workbuddyskills.git --path experts/tiderider-sentiment/skills/databrain-opinion-metrics--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add infometa/workbuddyskills --skill databrain-opinion-metrics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills databrain-opinion-metrics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experts/tiderider-sentiment/skills/databrain-opinion-metrics .gemini/skills/databrain-opinion-metrics && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "databrain-opinion-metrics" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-opinion-metrics into .gemini/skills/databrain-opinion-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-opinion-metrics", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install infometa/workbuddyskills databrain-opinion-metricsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add infometa/workbuddyskills --skill databrain-opinion-metrics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/experts/tiderider-sentiment/skills/databrain-opinion-metrics .github/skills/databrain-opinion-metrics && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "databrain-opinion-metrics" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-opinion-metrics into .github/skills/databrain-opinion-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-opinion-metrics", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add infometa/workbuddyskills --skill databrain-opinion-metrics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills databrain-opinion-metrics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experts/tiderider-sentiment/skills/databrain-opinion-metrics .opencode/skills/databrain-opinion-metrics && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "databrain-opinion-metrics" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/databrain-opinion-metrics into .opencode/skills/databrain-opinion-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databrain-opinion-metrics", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
databrain-opinion-metrics- GitHub stars
- 348
- Token cost
- ~1.2k tokens
- SKILL.md length
- 267 words
- Files
- 15 (incl. scripts, references)
- Skills in repo
- 218
- Repo updated
- First seen
- Licence
- None found
At a glance
查询游戏舆情核心指标。支持声量、情绪分布、Brand Health、互动量、分渠道/分语种分布、Steam 评论评分、社区指标等。当用户询问游戏的"舆情"、"口碑"、"声量"、"情绪"、"评分"、"社媒表现"、"正负面评价"、"玩家讨论"、"Brand Health"时触发。
- Works in 3 steps: ：确认 game_id → ：执行查询 → ：解读输出
- SKILL.md covers 快速开始, 环境变量, Step 1：确认 game_id and Step 2：执行查询, plus 1 more section
- Runs Python scripts from its folder; calls python and pip; reaches databrain.woa.com and databrain-global.intlgame.com; needs DATABRAIN_TOKEN
What it does
Databrain Opinion Metrics is an agent skill from infometa/workbuddyskills. 查询游戏舆情核心指标。支持声量、情绪分布、Brand Health、互动量、分渠道/分语种分布、Steam 评论评分、社区指标等。当用户询问游戏的"舆情"、"口碑"、"声量"、"情绪"、"评分"、"社媒表现"、"正负面评价"、"玩家讨论"、"Brand Health"时触发。
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `references/community.md`, `references/feeds_templates.md` and `references/game_store.md`).
It works with SQL. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
Example prompts
- “Brand Health”
- “/databrain-opinion-metrics”
Requirements
- Python 3
- A credential in DATABRAIN_TOKEN
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- ：确认 game_id
- ：执行查询
- ：解读输出
What it can do on your machine
Read from SKILL.md and the folder at commit 91b77ea. 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 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
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:
databrain.woa.comdatabrain-global.intlgame.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
DATABRAIN_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Databrain Opinion Metrics loads about 1.2k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 267 words of instructions outside code blocks.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 267 words (~1,172 tokens).
- name
- databrain-opinion-metrics
- version
- 2.1.0
- author
- databrain-team
Files
SKILL.md and 14 other files (scripts, references) in experts/tiderider-sentiment/skills/databrain-opinion-metrics of infometa/workbuddyskills.
- SKILL.md
- .env.example
- .gitignore
- references/community.md
- references/feeds_templates.md
- references/game_store.md
- references/hashtag_trending.md
- references/meme.md
- references/mentions_sentiment.md
- references/pr_news.md
- references/social_filter_logic.md
- references/store_score_templates.md
- scripts/game_search.py
- scripts/query_metrics.py
- scripts/report_log.py
Open the folder on GitHubat commit 91b77ea
Compare with similar skills
Databrain Opinion Metrics 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Databrain Opinion Metrics this skillinfometa/workbuddyskills | 348 | — | ~1.2k | Automated safety check: Pass | None | |
| Excel and CSV Data Analysisbytedance/deer-flow | 84k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Clickhouse Logs Queriessupabase/supabase | 111k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Review PRapache/shardingsphere | 21k | — | ~6.5k | Automated safety check: Pass | Apache-2.0 | |
| Django Filter Benchmarksaleor/saleor | 23k | — | ~2.3k | Automated safety check: Pass | BSD-3-Clause | |
| Citus Check Style Reindentcitusdata/citus | 13k | — | ~1.5k | Automated safety check: Notes | AGPL-3.0 |
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Questions about Databrain Opinion Metrics
What does Databrain Opinion Metrics do?
查询游戏舆情核心指标。支持声量、情绪分布、Brand Health、互动量、分渠道/分语种分布、Steam 评论评分、社区指标等。当用户询问游戏的"舆情"、"口碑"、"声量"、"情绪"、"评分"、"社媒表现"、"正负面评价"、"玩家讨论"、"Brand Health"时触发。. Databrain Opinion Metrics is an agent skill from infometa/workbuddyskills.
How do I install Databrain Opinion Metrics in Claude Code?
Run `npx skills add infometa/workbuddyskills --skill databrain-opinion-metrics -a claude-code`. Or copy the skill folder (experts/tiderider-sentiment/skills/databrain-opinion-metrics in infometa/workbuddyskills) into .claude/skills/databrain-opinion-metrics in your project. Claude Code loads it when a task matches its description.
How do I install Databrain Opinion Metrics in Codex?
Run `npx skills add infometa/workbuddyskills --skill databrain-opinion-metrics -a codex`. Or copy the skill folder (experts/tiderider-sentiment/skills/databrain-opinion-metrics in infometa/workbuddyskills) into .agents/skills/databrain-opinion-metrics in your project. Codex loads it when a task matches its description.
Can I use Databrain Opinion Metrics 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 infometa/workbuddyskills --skill databrain-opinion-metrics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/databrain-opinion-metrics, .gemini/skills/databrain-opinion-metrics, .github/skills/databrain-opinion-metrics and .opencode/skills/databrain-opinion-metrics in your project.
What does Databrain Opinion Metrics need to run?
Going by SKILL.md and its folder, Databrain Opinion Metrics needs Python for the scripts in its folder, the command-line tools its instructions call (python and pip) and credentials named DATABRAIN_TOKEN. Our summary lists: Python 3; A credential in DATABRAIN_TOKEN.
Does Databrain Opinion Metrics access the network?
SKILL.md names 2 domains. In commands or code: databrain.woa.com and databrain-global.intlgame.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is Databrain Opinion Metrics 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 Databrain Opinion Metrics use?
No licence was found for Databrain Opinion Metrics or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Databrain Opinion Metrics use?
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 21k tokens, read only when the agent opens those files.
What are the alternatives to Databrain Opinion Metrics?
Skills that share tags, products or a category with Databrain Opinion Metrics: Excel and CSV Data Analysis (bytedance/deer-flow, 84k stars), Clickhouse Logs Queries (supabase/supabase, 111k stars), Review PR (apache/shardingsphere, 21k stars) and Django Filter Benchmark (saleor/saleor, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Databrain Opinion Metrics?
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 348 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 9, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.