sichuan-shaanxi-comparison
比较四川与陕西电话网络数据在对象规模、风险标签、行为模式、共享设备规模、群体结构、时间覆盖和代表性对象上的地域差异。该 skill 只做地域对比和汇报材料,不做跨省同实体联动、跨省共享设备识别或跨省共同对端识别。
Skill by bettercallfan
Chalk Labs
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/sichuan-shaanxi-comparison
What's inside
- Skill name
sichuan-shaanxi-comparison- Description
- 比较四川与陕西电话网络数据在对象规模、风险标签、行为模式、共享设备规模、群体结构、时间覆盖和代表性对象上的地域差异。该 skill 只做地域对比和汇报材料,不做跨省同实体联动、跨省共享设备识别或跨省共同对端识别。
- License
- MIT
- Instructions
- 253 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- SKILL.md
- router_card.json
- sichuan_shaanxi_comparison_wrapper.py · scripts/
- test_sichuan_shaanxi_comparison.sh · scripts/
SKILL.md (first lines)
# sichuan-shaanxi-comparison ## 作用定位 `sichuan-shaanxi-comparison` 是电话网络数据分析体系中的**地域对比分析 skill**,面向已经预处理成统一图结构的电话网络数据,专门比较四川与陕西两个地区在对象规模、风险标签、通话行为、共享设备、群体结构和代表性对象上的差异。 它用于回答: - 四川和陕西的数据规模有什么不同? - 两地风险对象分布有什么不同? - 两地通话活跃度、联系人广度、夜间行为有什么不同? - 两地共享设备和设备池风险是否不同? - 两地群体结构和代表性对象有什么差异? - 后续应调用哪些 skill 继续下钻? 本 skill 不输出最终定性结论,只输出基于当前数据的地域差异证据和后续研判入口。 --- ## 必须注意:不要用其他 skill 替代本 skill 当前任务只要明确要求“四川-陕西对比”“四川与陕西地域对比”“两省风险特征/行为模式/群体结构差异”,必须优先运行本目录下的: ```bash sichuan_shaanxi_comparison_wrapper.py ``` 不要用 `condition-based-screening` 的两个省份筛选结果手工拼接来替代本 skill。原因是: - `condition-based-screening` 是条件筛选工具,适合回答“满足某些条件的对象有哪些”; - `sichuan-shaanxi-comparison` 是全量地域对比工具,适合回答“两地整体差异是什么”; - 两者可以互补,但不能互相替代。 本 skill 生成的正式文件名必须以: ```text sichuan_shaanxi_comparison_ ``` 开头。如果输出文件全是 `condition_screening_...`,说明前端没有正确执行本 skill。 --- ## 适用数据 默认使用电话网络统一数据集: ```text /mnt/datasets/phone-network/processed/unified/user_nodes.csv /mnt/datasets/phone-network/processed/unified/call_edges.csv /mnt/datasets/phone-network/processed/graph_views/unified/edges_phone_imei.parquet ``` 在本地项目 Docker 容器中测试时,通常路径为: ```text /workspace/imiss-deer-flow-main/datasets/phone-network/processed/unified/user_nodes.csv /workspace/imiss-deer-flow-main/datasets/phone-network/processed/unified/call_edges.csv /workspace/imiss-deer-flow-main/datasets/phone-network/processed/graph_views/unified/edges_phone_imei.parquet ``` 如果用户没有指定数据集,优先使用: ```text dataset=unified ``` --- ## 与基础算子的关系 本 skill 是由电话网络基础图分析算子组合实现的,不是单独脱离现有体系的新逻辑。 | 分析内容 | 对应基础算子风格 | |---|---| | 对象规模、标签分布、省份分布 | `node_lookup + aggregation_query` | | 通话记录规模、联系人广度、夜间占比 | `relationship_filter + aggregation_query` | | 共享设备、设备池、跨省设备样例 | `query_shared_device + aggregation_query` | | 代表性对象排序 | `aggregation_query + scoring_layer` | | 群体结构指标 | `subgraph_by_nodes / aggregation_query + scoring_layer` | | 地域差异解释 | `province filter + metric contrast + evidence ranking` | --- ## 分析口径 本 skill 默认做的是**全量地域对比**,不是条件筛选。 它会比较: 1. 对象规模和风险比例; 2. `label / sub_label` 分布; 3. 通话记录、联系人广度、夜间占比; 4. 时间覆盖与归一化行为强度; 5. 共享设备、设备池和高挂载设备; 6. 群体结构指标; 7. 两省代表性对象和共享设备样例。 由于四川和陕西数据的时间覆盖可能不同,报告中会明确给出“时间可比性提醒”。跨省比较时,应优先参考人均、日均和比例类指标,不要只看原始通话总量。 --- ## 运行方式 ### 前端/平台默认运行 ```bash cd /mnt/skills/custom/phone-network-analysis/sichuan-shaanxi-comparison/scripts && python3 sichuan_shaanxi_comparison_wrapper.py \ --dataset unified \ --province-a sichuan \ --province-b shaanxi \ --top-k 10 ``` ### 本地项目容器运行 ```bash cd /workspace/imiss-deer-flow-main/skills/custom/phone-network-analysis/sichuan-shaanxi-comparison/scripts python3 sichuan_shaanxi_comparison_wrapper.py \
From bettercallfan/deerflow, MIT.
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Signals
- Stars
- 0
- Forks
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- Open issues
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- Last commit (this folder)
- May 26, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/bettercallfan/deerflow
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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sichuan-shaanxi-comparison skill. Agent Mart. https://agentmart.dev/skills/bettercallfan-sichuan-shaanxi-comparison (last updated 2026-10-24)