Data Table Manager
n8n-io/n8n
Load before calling data-tables or parse-file. An agent skill from n8n-io/n8n.
腾讯云 WAF 攻击日志分析 (L1 层)。当用户提到「WAF 攻击日志分析」「分析 WAF 日志」「WAF 风险报告」「分析 attacklog」，或提供腾讯云 WAF 导出的 attacklog-.csv / 攻击日志.xlsx 文件/目录时使用此 skill。消费 L0 适配层 (soc-alert-pipeline) 输出的 JSONL，自动产出 Markdown 简版报告 +…
Install Waf Log Analyzer
$ npx skills add infometa/workbuddyskills --skill waf-log-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills waf-log-analyzer --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/soe/skills/soe/references/alert-analysis/waf-log-analyzer .claude/skills/waf-log-analyzer && 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 "waf-log-analyzer" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/soe/skills/soe/references/alert-analysis/waf-log-analyzer into .claude/skills/waf-log-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "waf-log-analyzer", 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/soe/skills/soe/references/alert-analysis/waf-log-analyzerType 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 waf-log-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills waf-log-analyzer --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/soe/skills/soe/references/alert-analysis/waf-log-analyzer .agents/skills/waf-log-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "waf-log-analyzer" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/soe/skills/soe/references/alert-analysis/waf-log-analyzer into .agents/skills/waf-log-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "waf-log-analyzer", 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 waf-log-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills waf-log-analyzer --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/soe/skills/soe/references/alert-analysis/waf-log-analyzer .cursor/skills/waf-log-analyzer && 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 "waf-log-analyzer" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/soe/skills/soe/references/alert-analysis/waf-log-analyzer into .cursor/skills/waf-log-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "waf-log-analyzer", 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/soe/skills/soe/references/alert-analysis/waf-log-analyzer--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 waf-log-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills waf-log-analyzer --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/soe/skills/soe/references/alert-analysis/waf-log-analyzer .gemini/skills/waf-log-analyzer && 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 "waf-log-analyzer" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/soe/skills/soe/references/alert-analysis/waf-log-analyzer into .gemini/skills/waf-log-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "waf-log-analyzer", 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 waf-log-analyzerInstalls 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 waf-log-analyzer -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/soe/skills/soe/references/alert-analysis/waf-log-analyzer .github/skills/waf-log-analyzer && 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 "waf-log-analyzer" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/soe/skills/soe/references/alert-analysis/waf-log-analyzer into .github/skills/waf-log-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "waf-log-analyzer", 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 waf-log-analyzer -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 waf-log-analyzer --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/soe/skills/soe/references/alert-analysis/waf-log-analyzer .opencode/skills/waf-log-analyzer && 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 "waf-log-analyzer" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/soe/skills/soe/references/alert-analysis/waf-log-analyzer into .opencode/skills/waf-log-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "waf-log-analyzer", 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
waf-log-analyzer- GitHub stars
- 346
- Token cost
- ~1.8k tokens
- SKILL.md length
- 537 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 218
- Repo updated
- First seen
- Licence
- None found
At a glance
腾讯云 WAF 攻击日志分析 (L1 层)。当用户提到「WAF 攻击日志分析」「分析 WAF 日志」「WAF 风险报告」「分析 attacklog」，或提供腾讯云 WAF 导出的 attacklog-.csv / 攻击日志.xlsx 文件/目录时使用此 skill。消费 L0 适配层 (soc-alert-pipeline) 输出的 JSONL，自动产出 Markdown 简版报告 +…
- Works in 4 steps: L0 解析（在… → L1 分析（在… → 生成产物 → …
- Tasks that involve Excel spreadsheets
- SKILL.md covers 一、定位, 二、适用范围, 三、触发词 and 四、执行流程, plus 8 more sections
- Runs Python scripts from its folder; calls python3
What it does
Waf Log Analyzer is an agent skill from infometa/workbuddyskills. 腾讯云 WAF 攻击日志分析 (L1 层)。当用户提到「WAF 攻击日志分析」「分析 WAF 日志」「WAF 风险报告」「分析 attacklog」，或提供腾讯云 WAF 导出的 attacklog-.csv / 攻击日志.xlsx 文件/目录时使用此 skill。消费 L0 适配层 (soc-alert-pipeline) 输出的 JSONL，自动产出 Markdown 简版报告 + HTML 详版可视化报告 + per-attacker case (供 L2 跨产品关联消费)，包含统计概览、风险等级分布、攻击类型/源 IP/URI Top 榜、配置异常告警（observe-only 域名）、扫描器/已知漏洞探测指纹、真实性研判、攻击者画像、可疑绕过检测、威胁情报富化、业务影响评估，以及按攻击类型给出的通用处置建议。
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/report.md`, `scripts/analyzer.py` and `scripts/l1_waf_analyze.py`).
It sits in Documents & Office, covering Excel spreadsheets and CSV and tabular files. It works with Microsoft Excel. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
When your agent uses it
- Tasks that involve Excel spreadsheets
- Tasks that involve CSV and tabular files
Example prompts
- “/waf-log-analyzer”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- L0 解析（在 references/alert-analysis/soc-alert-pipeline/ 目录下执行）
- L1 分析（在 references/alert-analysis/waf-log-analyzer/ 目录下执行）
- 生成产物
- 回复用户：展示关键结论摘要，附报告文件。
What it can do on your machine
Read from SKILL.md and the folder at commit 692b3eb. 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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Waf Log Analyzer loads about 1.8k tokens when it runs, and up to ~53k if it reads all its reference files. Until then it costs about 96 tokens; SKILL.md has 537 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:130
指纹 + HNAP / phpunit eval-stdin / .git / .env / actuator / druid / swagger / phpmyadmin / wordpress / solr / jenkins / v - NoteMentions a .env fileSKILL.md:193
/evox/about` `eval-stdin.php` `/.git/` `/.env` `/actuator` `/druid/` `/wp-admin` `/wp-login.php` `/phpmyadmin` `/solr/`
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 537 words (~1,784 tokens).
“这是 L1 产品分析 skill, 在 L0 适配层之上, 与其他 4 个 analyzer (cwp/yujie/tianmu/cfw) 架构一致:”
- name
- waf-log-analyzer
- version
- 2.0.0
- triggers
- WAF, 攻击日志, attacklog, WAF风险报告
- dependencies
- soc-alert-pipeline
Files
SKILL.md and 4 other files (scripts, references) in experts/soe/skills/soe/references/alert-analysis/waf-log-analyzer of infometa/workbuddyskills.
- SKILL.md
- references/report.html
- references/report.md
- scripts/analyzer.py
- scripts/l1_waf_analyze.py
Open the folder on GitHubat commit 692b3eb
Compare with similar skills
Waf Log Analyzer 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 |
|---|---|---|---|---|---|---|
| Waf Log Analyzer this skillinfometa/workbuddyskills | 346 | — | ~1.8k | Automated safety check: Notes | None | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Markitshift-labs-ai/markit | 1.3k | — | ~299 | Automated safety check: Pass | MIT | |
| Convert Fileduckdb/duckdb-skills | 604 | 1 repos | ~720 | Automated safety check: Notes | MIT | |
| Research Integrity Auditxuzhougeng/wisp-science | 1k | — | ~2.6k | Automated safety check: Pass | AGPL-3.0 |
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Related
Works with
Categories
Questions about Waf Log Analyzer
What does Waf Log Analyzer do?
腾讯云 WAF 攻击日志分析 (L1 层)。当用户提到「WAF 攻击日志分析」「分析 WAF 日志」「WAF 风险报告」「分析 attacklog」，或提供腾讯云 WAF 导出的 attacklog-.csv / 攻击日志.xlsx 文件/目录时使用此 skill。消费 L0 适配层 (soc-alert-pipeline) 输出的 JSONL，自动产出 Markdown 简版报告 +…. Waf Log Analyzer is an agent skill from infometa/workbuddyskills.
When should I use Waf Log Analyzer?
Waf Log Analyzer fits situations like: tasks that involve Excel spreadsheets; tasks that involve CSV and tabular files.
How do I install Waf Log Analyzer in Claude Code?
Run `npx skills add infometa/workbuddyskills --skill waf-log-analyzer -a claude-code`. Or copy the skill folder (experts/soe/skills/soe/references/alert-analysis/waf-log-analyzer in infometa/workbuddyskills) into .claude/skills/waf-log-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Waf Log Analyzer in Codex?
Run `npx skills add infometa/workbuddyskills --skill waf-log-analyzer -a codex`. Or copy the skill folder (experts/soe/skills/soe/references/alert-analysis/waf-log-analyzer in infometa/workbuddyskills) into .agents/skills/waf-log-analyzer in your project. Codex loads it when a task matches its description.
Can I use Waf Log Analyzer 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 waf-log-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/waf-log-analyzer, .gemini/skills/waf-log-analyzer, .github/skills/waf-log-analyzer and .opencode/skills/waf-log-analyzer in your project.
What does Waf Log Analyzer need to run?
Going by SKILL.md and its folder, Waf Log Analyzer needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Waf Log Analyzer 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 Waf Log Analyzer safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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 Waf Log Analyzer use?
No licence was found for Waf Log Analyzer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Waf Log Analyzer use?
About 1.8k tokens (SKILL.md is roughly 7.1k 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 51k tokens, read only when the agent opens those files.
What are the alternatives to Waf Log Analyzer?
Skills that share tags, products or a category with Waf Log Analyzer: Data Table Manager (n8n-io/n8n, 207k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Markit (shift-labs-ai/markit, 1.3k stars) and Convert File (duckdb/duckdb-skills, 604 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Waf Log Analyzer?
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 346 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 8, 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.