Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
故障影响分析技能。当用户报告基站故障、网络中断、退服、大面积断网，或需要评估故障影响范围、安排装维人员时使用. An agent skill from zj-unicom-ai/UniEmployee.
Install Fault Impact Analysis
$ npx skills add zj-unicom-ai/UniEmployee --skill fault-impact-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zj-unicom-ai/UniEmployee fault-impact-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/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .claude/skills && cp -r skills-src/backend/skills/fault-impact-analysis .claude/skills/fault-impact-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 "fault-impact-analysis" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/fault-impact-analysis into .claude/skills/fault-impact-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fault-impact-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/zj-unicom-ai/UniEmployee/tree/main/backend/skills/fault-impact-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 zj-unicom-ai/UniEmployee --skill fault-impact-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zj-unicom-ai/UniEmployee fault-impact-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .agents/skills && cp -r skills-src/backend/skills/fault-impact-analysis .agents/skills/fault-impact-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 "fault-impact-analysis" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/fault-impact-analysis into .agents/skills/fault-impact-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fault-impact-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 zj-unicom-ai/UniEmployee --skill fault-impact-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zj-unicom-ai/UniEmployee fault-impact-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/backend/skills/fault-impact-analysis .cursor/skills/fault-impact-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 "fault-impact-analysis" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/fault-impact-analysis into .cursor/skills/fault-impact-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fault-impact-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/zj-unicom-ai/UniEmployee.git --path backend/skills/fault-impact-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 zj-unicom-ai/UniEmployee --skill fault-impact-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zj-unicom-ai/UniEmployee fault-impact-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/backend/skills/fault-impact-analysis .gemini/skills/fault-impact-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 "fault-impact-analysis" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/fault-impact-analysis into .gemini/skills/fault-impact-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fault-impact-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 zj-unicom-ai/UniEmployee fault-impact-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 zj-unicom-ai/UniEmployee --skill fault-impact-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .github/skills && cp -r skills-src/backend/skills/fault-impact-analysis .github/skills/fault-impact-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 "fault-impact-analysis" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/fault-impact-analysis into .github/skills/fault-impact-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fault-impact-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 zj-unicom-ai/UniEmployee --skill fault-impact-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 zj-unicom-ai/UniEmployee fault-impact-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/backend/skills/fault-impact-analysis .opencode/skills/fault-impact-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 "fault-impact-analysis" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/fault-impact-analysis into .opencode/skills/fault-impact-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fault-impact-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
fault-impact-analysis- GitHub stars
- 360
- Token cost
- ~598 tokens
- SKILL.md length
- 170 words
- Files
- 1
- Skills in repo
- 22
- Repo updated
- First seen
- Licence
- MIT
At a glance
故障影响分析技能。当用户报告基站故障、网络中断、退服、大面积断网，或需要评估故障影响范围、安排装维人员时使用. An agent skill from zj-unicom-ai/UniEmployee.
- Works in 5 steps: 时间窗内告警清单（默认最近 7 天，用户指定时段按指定窗口）； → severity 分布：P1/P2 必须逐条列出时间与告警类型； → 告警类型分布与 root_cause 分布（Top3）； → …
- Data & Analytics work in your project
- SKILL.md covers 执行步骤, 注意事项 and 最终输出铁律
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Fault Impact Analysis is an agent skill from zj-unicom-ai/UniEmployee. 故障影响分析技能。当用户报告基站故障、网络中断、退服、大面积断网，或需要评估故障影响范围、安排装维人员时使用。
Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics. The repository describes itself as: 面向企业的数字员工构建与运行平台：把专业员工的经验、流程与判断标准，固化为可随时上岗、可配置、可审批、可观测的 AI 数字员工。 The licence is MIT.
When your agent uses it
- Data & Analytics work in your project
Example prompts
- “/fault-impact-analysis”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 时间窗内告警清单（默认最近 7 天，用户指定时段按指定窗口）；
- severity 分布：P1/P2 必须逐条列出时间与告警类型；
- 告警类型分布与 root_cause 分布（Top3）；
- 平均处理时长 duration_min（区分已恢复/处理中）；
- 同站历史故障频次：该基站 90 天内 P1/P2 次数，判断是否惯常故障站。
What it can do on your machine
Read from SKILL.md and the folder at commit c38a00a. 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.
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
Fault Impact Analysis loads about 598 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 170 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 zj-unicom-ai/UniEmployee at commit c38a00a, republished under its MIT licence (© zj-unicom-ai). 170 words, ~598 tokens.
Download SKILL.mdSave it as
.claude/skills/fault-impact-analysis/SKILL.md (or your agent's skills folder).- name
- fault-impact-analysis
- description
- 故障影响分析技能。当用户报告基站故障、网络中断、退服、大面积断网，或需要评估故障影响范围、安排装维人员时使用。
- metadata.include_tools
- ontology_fault_impact
故障影响分析
你是算网运营值班专家，接到故障报告或影响评估请求时严格按以下规程执行。 所有事实必须来自企业本体查询（ontology_find_entities / ontology_query_relations） 与告警数据集（/datasets/netops_alerts.csv），禁止凭经验编造客户名单、负责人或基站状态。
执行步骤
步骤1：定位故障实体
用 ontology_find_entities 找到涉事基站（entity_type=station，keyword=基站名或编号）。 确认其 props 中的 status（正常/退服/升级中）。用户只报了片区或客户名时，反向定位： 先查片区/客户，再沿关系找到关联基站。
步骤2：告警关联（用 execute 跑 pandas，工作目录 /data）
读取告警流水 /datasets/netops_alerts.csv（列：alert_id/time/station/station_code/ alarm_type/severity P1~P4/status/duration_min/root_cause/handler）， 按涉事基站过滤后统计：
- 时间窗内告警清单（默认最近 7 天，用户指定时段按指定窗口）；
- severity 分布：P1/P2 必须逐条列出时间与告警类型；
- 告警类型分布与 root_cause 分布（Top3）；
- 平均处理时长 duration_min（区分已恢复/处理中）；
- 同站历史故障频次：该基站 90 天内 P1/P2 次数，判断是否惯常故障站。
告警数据与本体 status 互相印证：本体显示"退服"但近期无告警 → 说明可能是 数据未同步；有 P1/P2 告警但本体 status=正常 → 提示本体待更新，以告警为准并建议核实。
步骤3：展开影响面（本体逐跳查询）
优先调用 ontology_fault_impact(station_name="基站名或编号") 一次拿到：
覆盖片区、受影响客户、重点/VIP 客户、维护人员、回传链路和中文关系路径。
如需逐项核对证据路径，再按以下顺序走一跳查询：
从基站实体 id 出发：
- ontology_query_relations(entity_id, relation_type="cover") → 得到覆盖片区；
- 对每个片区，ontology_query_relations(片区id, relation_type="located_in", direction="in") → 得到受影响客户清单；
- 汇总客户 grade 属性，单独标出 VIP 客户（优先保障）。
步骤4：定位责任人
- 优先使用
ontology_fault_impact返回的维护人员及联系方式； - 装维：ontology_query_relations(基站id, relation_type="maintain", direction="in") → 负责该基站的装维工程师（含电话）；与告警流水 handler 字段交叉核对， 若 handler 与本体维护人不一致，提示调度记录与本体维护关系需要核实；
- 升级：若影响 VIP 或政企客户，同时查片区维护部门值班负责人 （部门 → manage/belongs_to 关系）。
步骤5：输出处置建议并登记工单
按「影响面 → 告警摘要 → 责任人 → 处置建议」结构输出：
- 影响面：退服基站 / 覆盖片区 / 受影响客户数 / VIP 客户清单
- 告警摘要：时间窗内 P1/P2 明细、根因 Top、平均处理时长、同站故障频次
- 责任人：装维工程师姓名与电话（含告警流水 handler）
- 处置建议：按客户等级排序（VIP 优先）、给出临时缓解措施（如切换相邻基站）、 结合 root_cause 给出整改方向（如光纤老化 → 更换光缆段）
- 用户确认需要派单时，调用 create_ticket 登记故障工单
结尾标注数据来源：「以上来自企业本体查询（N 个实体 / M 条关系）+ 告警流水分析（X 条）」。
注意事项
- 基站升级中 ≠ 故障，回答前先看 status 属性与近期告警再定性
- 查不到关系时如实说明"本体中未登记"，不要编造
- 涉及资费赔偿承诺前，先走 kb_search 查现行 SLA 制度
- 数据分析用 execute 跑 pandas（工作目录 /data，共享数据集在 /datasets/ 只读 目录，用绝对路径读 csv 如 pd.read_csv("/datasets/netops_alerts.csv")）， 不要把告警数据逐条贴进上下文
最终输出铁律
- 必须输出完整中文结论，格式固定为： 「影响面 → 告警摘要 → 责任人 → 处置建议 → 已登记工单」。
- 责任人必须写明姓名和联系方式，例如：装维工程师赵敏，电话 13800001003。
- 必须先输出完整结论，再调用 create_ticket 登记工单。
- 如果工具调用后会话暂停，等待审批或用户继续，不要停在过程性文字。
© zj-unicom-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in backend/skills/fault-impact-analysis of zj-unicom-ai/UniEmployee.
Open the folder on GitHubat commit c38a00a
Compare with similar skills
Fault Impact 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 |
|---|---|---|---|---|---|---|
| Fault Impact Analysis this skillzj-unicom-ai/UniEmployee | 360 | — | ~598 | Automated safety check: Pass | MIT | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.7k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 84k | 1 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
Scikit Learn
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
Chart Visualization
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
TimesFM Forecasting
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
- Official
Sandbox Bench
vercel/next.js
Benchmark React or Next.js changes on Vercel Sandbox VMs with paired A/B statistics: react PR/commit vs base, or Next.js PR/commit vs base, measured end-to-end through the bench/render-pipeline app…
More from zj-unicom-ai/UniEmployee
All 22 skills in this repoEnterprise Customer Visit Playbook
zj-unicom-ai/UniEmployee
Prepares account managers for visits to government and enterprise customers: looks up the customer file, matches products, builds a Word solution document and files visit minutes.
Tencent ima Knowledge Base Reader
zj-unicom-ai/UniEmployee
Exports the article list and original article text from a Tencent ima knowledge base through a logged-in Chrome session, using browser automation.
Business Overview Analysis
zj-unicom-ai/UniEmployee
Produces a full business health analysis from sales, finance, inventory and customer CSV files: core KPIs, monthly trends, drill-downs and recommendations.
Competitor Deep-Dive Dashboard
zj-unicom-ai/UniEmployee
Produces a competitor benchmarking dashboard as an HTML page with an ECharts price comparison, from built-in profile cards plus fresh web research.
Insurance Operations Analysis
zj-unicom-ai/UniEmployee
Analyzes insurance operating data such as premium, loss ratio, renewal rate and expense ratio by branch, product and channel, flags anomalies and builds an HTML dashboard.
Market Alert Triage
zj-unicom-ai/UniEmployee
Assesses a reported market event such as a competitor price cut, new launch or negative press, verifies it, grades urgency from P0 to P2 and produces a short alert card.
Related
Categories
Questions about Fault Impact Analysis
What does Fault Impact Analysis do?
故障影响分析技能。当用户报告基站故障、网络中断、退服、大面积断网，或需要评估故障影响范围、安排装维人员时使用. An agent skill from zj-unicom-ai/UniEmployee. Fault Impact Analysis is an agent skill from zj-unicom-ai/UniEmployee.
When should I use Fault Impact Analysis?
Fault Impact Analysis fits situations like: data & Analytics work in your project.
How do I install Fault Impact Analysis in Claude Code?
Run `npx skills add zj-unicom-ai/UniEmployee --skill fault-impact-analysis -a claude-code`. Or copy the skill folder (backend/skills/fault-impact-analysis in zj-unicom-ai/UniEmployee) into .claude/skills/fault-impact-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Fault Impact Analysis in Codex?
Run `npx skills add zj-unicom-ai/UniEmployee --skill fault-impact-analysis -a codex`. Or copy the skill folder (backend/skills/fault-impact-analysis in zj-unicom-ai/UniEmployee) into .agents/skills/fault-impact-analysis in your project. Codex loads it when a task matches its description.
Can I use Fault Impact 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 zj-unicom-ai/UniEmployee --skill fault-impact-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/fault-impact-analysis, .gemini/skills/fault-impact-analysis, .github/skills/fault-impact-analysis and .opencode/skills/fault-impact-analysis in your project.
What does Fault Impact Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Fault Impact Analysis is instructions for the agent only.
Does Fault Impact 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 Fault Impact 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 Fault Impact Analysis use?
Fault Impact Analysis 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 Fault Impact Analysis use?
About 598 tokens (SKILL.md is roughly 2.4k 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 Fault Impact Analysis?
Skills that share tags, products or a category with Fault Impact Analysis: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fault Impact Analysis?
zj-unicom-ai (a GitHub organization) maintains it in zj-unicom-ai/UniEmployee, which has 360 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on October 8, 2026.
Source: zj-unicom-ai/UniEmployee on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.