Gaia Architecture Comparison
ruvnet/ruflo
Side-by-side comparison of ruflo vs HAL vs other GAIA harnesses — capability gaps, design decisions, and improvement roadmap
对不同时间、群体、地区、渠道、版本之间的指标差异性的定量分析。触发条件：当分析任务需要通过定量比较多个对象来进行分析时触发，例如，对话包含“分析差异”、“衡量增长/下降”、“评估优劣/一致性“、“对比“等相似词语时触发。
Apache-2.0Auto-check passed
Install Bi Comparison Analysis
$ npx skills add agentscope-ai/QwenPaw-Data --skill bi-comparison-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-comparison-analysis --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/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis .claude/skills/bi-comparison-analysis && 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 "bi-comparison-analysis" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis into .claude/skills/bi-comparison-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-comparison-analysis", 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/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysisType 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 agentscope-ai/QwenPaw-Data --skill bi-comparison-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-comparison-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis .agents/skills/bi-comparison-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bi-comparison-analysis" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis into .agents/skills/bi-comparison-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-comparison-analysis", 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 agentscope-ai/QwenPaw-Data --skill bi-comparison-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-comparison-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis .cursor/skills/bi-comparison-analysis && 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 "bi-comparison-analysis" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis into .cursor/skills/bi-comparison-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-comparison-analysis", 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/agentscope-ai/QwenPaw-Data.git --path packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis--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 agentscope-ai/QwenPaw-Data --skill bi-comparison-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-comparison-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis .gemini/skills/bi-comparison-analysis && 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 "bi-comparison-analysis" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis into .gemini/skills/bi-comparison-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-comparison-analysis", 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 agentscope-ai/QwenPaw-Data bi-comparison-analysisInstalls 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 agentscope-ai/QwenPaw-Data --skill bi-comparison-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis .github/skills/bi-comparison-analysis && 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 "bi-comparison-analysis" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis into .github/skills/bi-comparison-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-comparison-analysis", 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 agentscope-ai/QwenPaw-Data --skill bi-comparison-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentscope-ai/QwenPaw-Data bi-comparison-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis .opencode/skills/bi-comparison-analysis && 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 "bi-comparison-analysis" agent skill from https://github.com/agentscope-ai/QwenPaw-Data/tree/main/packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis into .opencode/skills/bi-comparison-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bi-comparison-analysis", 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
bi-comparison-analysis- GitHub stars
- 127
- Token cost
- ~416 tokens
- SKILL.md length
- 83 words
- Files
- 2 (incl. references)
- Skills in repo
- 29
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
对不同时间、群体、地区、渠道、版本之间的指标差异性的定量分析。触发条件：当分析任务需要通过定量比较多个对象来进行分析时触发，例如，对话包含“分析差异”、“衡量增长/下降”、“评估优劣/一致性“、“对比“等相似词语时触发。
- Works in 4 steps: 明确比较维度 → 设定基准与比较对象 → 计算差异 → …
- SKILL.md covers 执行步骤 and 输出要求
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Bi Comparison Analysis is an agent skill from agentscope-ai/QwenPaw-Data. 对不同时间、群体、地区、渠道、版本之间的指标差异性的定量分析。触发条件：当分析任务需要通过定量比较多个对象来进行分析时触发，例如，对话包含“分析差异”、“衡量增长/下降”、“评估优劣/一致性“、“对比“等相似词语时触发。
Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/significance-test.md`).
The repository describes itself as: Agentic enterprise data analytics: governed facts (DataBridge), reusable methodology (Skill-Hub), and controllable execution (Host). The licence is Apache-2.0.
Example prompts
- “衡量增长/下降”
- “/bi-comparison-analysis”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit e0bae36. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are csv).
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
Bi Comparison Analysis loads about 416 tokens when it runs, and up to ~737 if it reads all its reference files. Until then it costs about 33 tokens; SKILL.md has 83 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from agentscope-ai/QwenPaw-Data at commit e0bae36, republished under its Apache-2.0 licence (© agentscope-ai). 83 words, ~416 tokens.
Download SKILL.mdSave it as
.claude/skills/bi-comparison-analysis/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- bi-comparison-analysis
- description
- 对不同时间、群体、地区、渠道、版本之间的指标差异性的定量分析。触发条件：当分析任务需要通过定量比较多个对象来进行分析时触发，例如，对话包含“分析差异”、“衡量增长/下降”、“评估优劣/一致性“、“对比“等相似词语时触发。
bi-comparison-analysis
对不同时间、群体、地区、渠道、版本之间的指标差异值进行分析。
执行步骤
Step 1. 明确比较维度
一般而言，对比分析主要涉及以下 3 个维度：
| 维度 | 说明 | 目的 |
|---|---|---|
| 时间对比 (纵向) | 同比（与历史相同节点）或环比（与相邻节点） | 了解发展速度、规模水平的增减变化 |
| 空间对比 (横向) | 与同类对象、竞争对手或行业平均水平对比 | 评估自身在群体中的水平高低，找出差距 |
| 标准对比 (计划对比) | 将实际完成数据与目标、计划、预算数值对比 | 检查指标是否达标，评估业务运行是否协调 |
根据数据分析需求以及上述维度的解释说明，选择合理的对比维度。
Step 2. 设定基准与比较对象
根据所确定的比较分析维度以及提供的数据，选择合适的对比参照物（时间、空间或标准），以及确定合理的比较对象。确保参照物与比较对象的数据在统计口径、计量标准上一致，具有可比性。
整理数据为一份 CSV 文件，包含参照物相应数据列以及比较对象相应数据列。以“对比不同端转化情况”为例，可用的数据类似
业务日期,web端转化率,app端转化率
20251101,0.7856,0.2343
20251102,0.2288,0.8822
20251103,0.6677,0.7760Step 3. 计算差异
对比分析的定量计算形式主要有以下两种
| 方式 | 计算方式 | 例子 |
|---|---|---|
| 绝对差值 | (差值=对象A - 对象B) | 数值大小比较 |
| 相对差值 | (差异率=\frac{对象A - 对象B}{对象B}) | 环比增长、同比增长 |
根据步骤 1 和步骤 2 确定的比较维度、参照物和比较对象，从中选择合适的定量计算方式计算对比差异。不遗漏任何需要比较的对象。
Step 4. 显著性分析
当对两组或多组数据进行比较，且比较结果具有多个样本时，需进行显著性分析。常用显著性检验方法如下：
| 检验方法 | 适用场景 | 数据要求 |
|---|---|---|
| t 检验 | 两组均值对比，样本量 < 30 或总体方差未知 | 连续型数据，近似正态分布 |
| z 检验 | 两组均值/比例对比，大样本量（n ≥ 30） | 连续型或二分类数据 |
| 卡方检验 | 分类变量独立性检验、拟合优度检验 | 频数数据，期望频数 ≥ 5 |
显著性检验方法选择策略如下：
if 数据为分类变量:
使用 chi_square
elif 样本量 >= 30:
使用 z_test
else:
使用 t_test各个检验方法的具体计算方式参见 <skill-dir>/references/significance-test.md。
输出要求
输出差异定量计算结果，以及显著性检验方式、检验统计量与 P 值（如果执行了显著性分析）。不要遗失任何计算结果，包括 NaN 值。
© agentscope-ai, Apache-2.0. 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 1 other file (references) in packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis of agentscope-ai/QwenPaw-Data.
- SKILL.md
- references/significance-test.md
Open the folder on GitHubat commit e0bae36
Compare with similar skills
Bi Comparison Analysis 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 |
|---|---|---|---|---|---|---|
| Bi Comparison Analysis this skillagentscope-ai/QwenPaw-Data | 127 | — | ~416 | Automated safety check: Pass | Apache-2.0 | |
| Gaia Architecture Comparisonruvnet/ruflo | 74k | — | ~1.3k | Automated safety check: Notes | MIT | |
| Perf ComparisonClickHouse/ClickHouse | 50k | — | ~3.9k | Automated safety check: Notes | Apache-2.0 | |
| Offer Comparison Analyzerdavila7/claude-code-templates | 33k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Contract Comparisonzubair-trabzada/ai-legal-claude | 1.8k | — | ~1.8k | Automated safety check: Pass | None | |
| Template Comparisondotnet/skills | 5.6k | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
Similar skills
Perf Comparison
ClickHouse/ClickHouse
Evaluate ClickHouse performance test results from existing CI/dashboard data or local perf.py runs.
Offer Comparison Analyzer
davila7/claude-code-templates
Compare multiple job offers side-by-side with total compensation analysis.
Contract Comparison
zubair-trabzada/ai-legal-claude
Side-by-side comparison of two contract versions or two different contracts with change tracking, favorability analysis, and risk assessment
- Official
Template Comparison
dotnet/skills
Compares two or more dotnet new templates side by side to help users choose between them based on parameters, feature support, frameworks, and classifications.
Comparison Card
ZJU-REAL/Easel
对比图/一图流：生成 A vs B 参数对比图、优劣势对比表、产品参数一图流. An agent skill from ZJU-REAL/Easel.
More from agentscope-ai/QwenPaw-Data
All 29 skills in this repoBi Report Generation
agentscope-ai/QwenPaw-Data
将 BI 数据分析结果组织成可视化 HTML 报告。当分析完成、需要生成报告时调用. An agent skill from agentscope-ai/QwenPaw-Data.
Fetch Data
agentscope-ai/QwenPaw-Data
取数 / 查数据 / 拉数据 / 跑 SQL。把自然语言取数需求转为 SQL，经数据湖仓执行后返回查询结果供下游分析。任何需要业务数据的任务在工作区缺少对应文件时都必须先调用此技能——覆盖 BI 业务分析、留存 / 转化 / 同期群分析、数据探索 EDA、统计建模、定量计算、元数据查询、数据查询。命中任一即触发：(1) 直接索要指标或记录，如「DAU 多少」「上月销售额」「3…
Bi Adaptive Threshold
agentscope-ai/QwenPaw-Data
通过量化历史数据的自然波动幅度，自适应计算判定阈值。当需要从数据本身确定阈值（如波动阈值、影响度阈值等）、而非使用固定值时调用。仅适用于日/周粒度阈值确定。
Bi Anomaly Detection
agentscope-ai/QwenPaw-Data
基于阈值检测时间序列中的显著异常波动点。当需要找出指标异常波动日期、识别数据异动时调用. An agent skill from agentscope-ai/QwenPaw-Data.
Bi Attribution Analysis
agentscope-ai/QwenPaw-Data
计算各维度（组）值对指标变动的贡献度，支持可加型量值指标和加权平均型/率值指标。当需要计算贡献度、解释指标"为什么涨/跌"时调用。
Bi Causal Attribution
agentscope-ai/QwenPaw-Data
从运营周报、活动文档、对话输入或文档工具 API 中提取业务事件，与指标异常时间窗口对齐，生成有证据支撑的因果归因假设并排序。当已知指标存在异常波动、需要从外部文档证据中解释"为什么"时调用。
Questions about Bi Comparison Analysis
What does Bi Comparison Analysis do?
对不同时间、群体、地区、渠道、版本之间的指标差异性的定量分析。触发条件：当分析任务需要通过定量比较多个对象来进行分析时触发，例如，对话包含“分析差异”、“衡量增长/下降”、“评估优劣/一致性“、“对比“等相似词语时触发。. Bi Comparison Analysis is an agent skill from agentscope-ai/QwenPaw-Data.
How do I install Bi Comparison Analysis in Claude Code?
Run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-comparison-analysis -a claude-code`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis in agentscope-ai/QwenPaw-Data) into .claude/skills/bi-comparison-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Bi Comparison Analysis in Codex?
Run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-comparison-analysis -a codex`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/atomic/bi-comparison-analysis in agentscope-ai/QwenPaw-Data) into .agents/skills/bi-comparison-analysis in your project. Codex loads it when a task matches its description.
Can I use Bi Comparison Analysis 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 agentscope-ai/QwenPaw-Data --skill bi-comparison-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bi-comparison-analysis, .gemini/skills/bi-comparison-analysis, .github/skills/bi-comparison-analysis and .opencode/skills/bi-comparison-analysis in your project.
What does Bi Comparison Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Bi Comparison Analysis is instructions for the agent only.
Does Bi Comparison Analysis 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 Bi Comparison Analysis 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. Review the folder before installing.
What licence does Bi Comparison Analysis use?
Bi Comparison Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Bi Comparison Analysis use?
About 416 tokens (SKILL.md is roughly 1.7k 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 321 tokens, read only when the agent opens those files.
What are the alternatives to Bi Comparison Analysis?
Skills that share tags, products or a category with Bi Comparison Analysis: Gaia Architecture Comparison (ruvnet/ruflo, 74k stars), Perf Comparison (ClickHouse/ClickHouse, 50k stars), Offer Comparison Analyzer (davila7/claude-code-templates, 33k stars) and Contract Comparison (zubair-trabzada/ai-legal-claude, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Bi Comparison Analysis?
agentscope-ai (a GitHub organization) maintains it in agentscope-ai/QwenPaw-Data, which has 127 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 5, 2026.
Source: agentscope-ai/QwenPaw-Data on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.