Risk
alsk1992/CloddsBot
Unified risk engine with VaR, stress testing, volatility regimes, and automated controls
腾讯云智能顾问架构风险巡检分析报告生成工具。用于分析用户在腾讯云智能顾问产品下的架构图风险巡检情况,从API拉取数据并生成移动端友好的HTML可视化报告,最终将HTML转换为PNG图片输出。当用户提到智能顾问架构巡检、风险分析、巡检报告、架构图风险、腾讯云巡检等关键词时或对当前报告内容修改时,请务必使用此插件。
$ npx skills add LeoYeAI/openclaw-master-skills --skill tsa-risk -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills tsa-risk --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cloudq/references/plugins/tsa-risk .claude/skills/tsa-risk && 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 "tsa-risk" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloudq/references/plugins/tsa-risk into .claude/skills/tsa-risk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tsa-risk", 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/LeoYeAI/openclaw-master-skills/tree/main/skills/cloudq/references/plugins/tsa-riskType 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 LeoYeAI/openclaw-master-skills --skill tsa-risk -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills tsa-risk --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cloudq/references/plugins/tsa-risk .agents/skills/tsa-risk && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tsa-risk" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloudq/references/plugins/tsa-risk into .agents/skills/tsa-risk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tsa-risk", 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 LeoYeAI/openclaw-master-skills --skill tsa-risk -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills tsa-risk --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cloudq/references/plugins/tsa-risk .cursor/skills/tsa-risk && 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 "tsa-risk" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloudq/references/plugins/tsa-risk into .cursor/skills/tsa-risk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tsa-risk", 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/LeoYeAI/openclaw-master-skills.git --path skills/cloudq/references/plugins/tsa-risk--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 LeoYeAI/openclaw-master-skills --skill tsa-risk -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills tsa-risk --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cloudq/references/plugins/tsa-risk .gemini/skills/tsa-risk && 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 "tsa-risk" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloudq/references/plugins/tsa-risk into .gemini/skills/tsa-risk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tsa-risk", 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 LeoYeAI/openclaw-master-skills tsa-riskInstalls 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 LeoYeAI/openclaw-master-skills --skill tsa-risk -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cloudq/references/plugins/tsa-risk .github/skills/tsa-risk && 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 "tsa-risk" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloudq/references/plugins/tsa-risk into .github/skills/tsa-risk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tsa-risk", 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 LeoYeAI/openclaw-master-skills --skill tsa-risk -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills tsa-risk --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cloudq/references/plugins/tsa-risk .opencode/skills/tsa-risk && 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 "tsa-risk" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloudq/references/plugins/tsa-risk into .opencode/skills/tsa-risk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tsa-risk", 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.
tsa-risk腾讯云智能顾问架构风险巡检分析报告生成工具。用于分析用户在腾讯云智能顾问产品下的架构图风险巡检情况,从API拉取数据并生成移动端友好的HTML可视化报告,最终将HTML转换为PNG图片输出。当用户提到智能顾问架构巡检、风险分析、巡检报告、架构图风险、腾讯云巡检等关键词时或对当前报告内容修改时,请务必使用此插件。
Tsa Risk is an agent skill from LeoYeAI/openclaw-master-skills. 腾讯云智能顾问架构风险巡检分析报告生成工具。用于分析用户在腾讯云智能顾问产品下的架构图风险巡检情况,从API拉取数据并生成移动端友好的HTML可视化报告,最终将HTML转换为PNG图片输出。当用户提到智能顾问架构巡检、风险分析、巡检报告、架构图风险、腾讯云巡检等关键词时或对当前报告内容修改时,请务必使用此插件。
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts (for example `ReportDesignSpec.md`, `scripts/generate_report_default.py` and `scripts/html_to_png.py`).
The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadGrepWriteFrom allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
console.cloud.tencent.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
TENCENTCLOUD_SECRET_KEYTENCENTCLOUD_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tsa Risk loads about 1.7k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 335 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash, Read, Grep, WriteAutomated 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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 335 words, ~1,734 tokens.
.claude/skills/tsa-risk/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.本 skill 用于分析用户在腾讯云智能顾问产品下的架构图风险巡检情况,自动拉取数据并生成可视化报告。
重要:本 skill 仅允许调用以下
references/中定义的 4 个智能顾问接口,不得调用任何 references 之外的接口:
| # | Action | 说明 | 文档 |
|---|---|---|---|
| 1 | DescribeArchScanReportLastInfo | 获取最新巡检报告ID | {baseDir}/references/api/DescribeArchScanReportLastInfo.md |
| 2 | DescribeArchScanOverviewInfo | 查询巡检概览信息 | {baseDir}/references/api/DescribeArchScanOverviewInfo.md |
| 3 | DescribeArchRiskTrendInfo | 查询风险趋势信息 | {baseDir}/references/api/DescribeArchRiskTrendInfo.md |
| 4 | DescribeScanPluginRiskTrendListInfo | 查询风险明细列表 | {baseDir}/references/api/DescribeScanPluginRiskTrendListInfo.md |
所有接口统一通过 {baseDir}/scripts/tcloud_api.py 调用,服务名 advisor,API 版本 2020-07-21。
路径约定:下文使用
{pluginDir}表示{baseDir}/references/plugins/tas-risk,插件专用脚本(数据拉取、报告生成、截图转换)位于{pluginDir}/scripts/,公用脚本(环境检查、API调用、免密登录等)位于{baseDir}/scripts/。
辅助脚本说明:
{baseDir}/scripts/login_url.py和{baseDir}/scripts/setup_role.py为可选辅助脚本,使用 STS/CAM 通用服务接口(非智能顾问业务接口),仅用于免密登录链接生成和角色配置,不在核心数据流程中。
python3(3.6 及以上版本)TENCENTCLOUD_SECRET_ID、TENCENTCLOUD_SECRET_KEYarch-xxxxx注意:ResultId 无需用户提供,系统会自动通过
DescribeArchScanReportLastInfo接口获取最新的报告 ID。
python3 {baseDir}/check_env.pypython3 {pluginDir}/scripts/risk_fetch_data.py <ArchId>该脚本自动完成以下工作:
DescribeArchScanReportLastInfo 接口,通过 ArchId 获取最新的报告 ID./output/data_<ArchId>.json(当前工作目录下)数据拉取特性:
DescribeScanPluginRiskTrendListInfo 接口使用 Limit=200(最大分页) 并自动分页遍历,确保获取全部风险明细数据TotalCount 为实际获取的总条数使用接口前,必须先加载对应的接口文档:
{baseDir}/references/api/<Action>.md
数据来源:./output/data_<ArchId>.json
脚本优先级机制:系统优先加载 generate_report_custom.py,不存在时回退到 generate_report_default.py。
规则:
generate_report_custom.py不预置,仓库中只有generate_report_default.py作为基线版本- 当用户自定义报告需求通过
--template模板配置无法满足、需要修改生成逻辑(如布局、模块增删、图表样式、数据处理等)时,先将generate_report_default.py复制为generate_report_custom.py,再在副本上修改- 一旦
generate_report_custom.py存在,后续所有生成都自动使用它;generate_report_default.py始终保持不变作为基线
# 如需修改生成逻辑,先创建自定义副本(仅首次)
if [ ! -f "{pluginDir}/scripts/generate_report_custom.py" ]; then
cp {pluginDir}/scripts/generate_report_default.py {pluginDir}/scripts/generate_report_custom.py
fi
# 自动选择脚本(优先 _custom 版本)
GEN_SCRIPT="{pluginDir}/scripts/generate_report_custom.py"
if [ ! -f "$GEN_SCRIPT" ]; then
GEN_SCRIPT="{pluginDir}/scripts/generate_report_default.py"
fi
python3 "$GEN_SCRIPT" ./output/data_<ArchId>.json --theme random可指定主题:--theme ocean|sunset|forest|lavender|coral|slate
如果用户之前保存过自定义模板,可通过 --template 指定模板目录:
# 同样优先使用 _custom 版本
python3 "$GEN_SCRIPT" ./output/data_<ArchId>.json --template <自定义模板名>当用户对主题有自定义修改需求时:
{pluginDir}/template/default/ 下对应主题 JSON 文件--save-template 保存为新模板(会在 template/<名称>/ 下创建):python3 "$GEN_SCRIPT" ./output/data_<ArchId>.json --theme ocean --save-template my-custompython3 "$GEN_SCRIPT" --list-templates不使用脚本,而是:
./output/data_<ArchId>.json 数据{pluginDir}/ReportDesignSpec.md 了解报告模块与样式规范./output/report_<ArchId>.html此步骤默认不启用。仅当用户明确要求生成 AI 分析摘要(如提到"分析一下"、"总结报告"、"AI 解读"等关键词)时才执行此步骤。默认流程直接从第四步跳到第六步。
如果用户要求启用 AI 分析,在生成 HTML 后、转 PNG 前,对巡检数据进行分析:
./output/data_<ArchId>.json 中的关键数据{pluginDir}/ReportDesignSpec.md./output/summary_<ArchId>.txtpython3 "$GEN_SCRIPT" ./output/data_<ArchId>.json --theme random --summary ./output/summary_<ArchId>.txt也可同时指定自定义模板:
--template <模板名> --summary ...
python3 {pluginDir}/scripts/html_to_png.py ./output/report_<ArchId>.html最终输出 PNG 到 ./output/report_<ArchId>.png。
⚠️ 核心原则:报告图片优先! 无论何种场景,都必须 优先尝试发送/展示报告图片,只有在确认图片无法发送时才降级。
报告生成完毕后,按以下优先级策略处理:
优先发送报告图片(必须!)
read_image 工具读取 ./output/report_<ArchId>.png,让图片 直接内联显示 在对话消息中降级方案:仅当图片确实无法发送时(如 read_image 工具不可用、图片文件生成失败、PNG 转换全部失败等)
./output/data_<ArchId>.json 数据,将报告内容解读为 Markdown 格式文本 发送> ⚠️ 图片报告未能发送(原因:{{具体原因,如"PNG截图工具均不可用"或"read_image工具调用失败"等}}),以下为文本版报告:💡 建议:升级至最新版 CLAW 客户端以获得图片报告的最佳体验如果检测到当前运行环境为本地 CLAW(如 qclaw)且不支持在对话中发送/内联图片:
# macOS
open ./output/report_<ArchId>.png
# Linux
xdg-open ./output/report_<ArchId>.png
# Windows
start ./output/report_<ArchId>.png📷 报告图片已在本地打开,请查看。发送图片后(或降级文本报告后),参考下面文字提示模板补充提示:
<简洁总结报告>
若需修改可以直接发送修改意见
🔗 查看更多: 如需查看完整架构详情、历史报告及更多风险分析,请前往 [腾讯云智能顾问控制台](https://console.cloud.tencent.com/advisor?archId={{ArchId}}&plugin=cloud-inspection-sdk)⚠️ 重要: [腾讯云智能顾问控制台] 对应链接为免密登录链接每次都必须重新生成,不可缓存或复用之前生成的链接。每次向用户展示时,都必须重新调用
scripts/login_url.py生成新的链接。
QcloudAdvisorReadOnlyAccess 权限TENCENTCLOUD_TOKENap-guangzhou,Region 为可选参数TENCENTCLOUD_STS_DURATION 调整(最大 7200 秒)[腾讯云智能顾问控制台](免密登录URL) 超链接形式展示,严禁直接展示完整 URLlogin_url.py 生成新链接,不可缓存或复用| 文档 | 说明 |
|---|---|
{baseDir}/references/api/DescribeArchScanReportLastInfo.md | 获取最新报告ID接口 |
{baseDir}/references/api/DescribeArchScanOverviewInfo.md | 巡检概览接口 |
{baseDir}/references/api/DescribeArchRiskTrendInfo.md | 风险趋势接口 |
{baseDir}/references/api/DescribeScanPluginRiskTrendListInfo.md | 风险明细列表接口 |
{pluginDir}/ReportDesignSpec.md | 报告内容与样式规范 |
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files (scripts) in skills/cloudq/references/plugins/tsa-risk of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Tsa Risk 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 |
|---|---|---|---|---|---|---|
| Tsa Risk this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~1.7k | Automated safety check: Notes | MIT | |
| Riskalsk1992/CloddsBot | 3k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Trader Riskruvnet/ruflo | 74k | — | ~358 | Automated safety check: Notes | MIT | |
| Risk Management Specialistalirezarezvani/claude-skills | 28k | 1 repos | ~4.1k | Automated safety check: Pass | MIT | |
| Conducting Cyber Risk Assessment With Nist 800 30mukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Prediction Market Risk Reviewaffaan-m/ECC | 276k | 1 repos | ~471 | Automated safety check: Pass | MIT |
alsk1992/CloddsBot
Unified risk engine with VaR, stress testing, volatility regimes, and automated controls
ruvnet/ruflo
Assess portfolio risk using npx neural-trader — VaR, CVaR, Sharpe, position sizing, circuit breaker status
alirezarezvani/claude-skills
Medical device risk management specialist implementing ISO 14971 throughout product lifecycle.
mukul975/Anthropic-Cybersecurity-Skills
Conduct a defensible cybersecurity risk assessment using the NIST SP 800-30 Rev 1 methodology: prepare scope and a risk model, identify threat sources and threat events, identify vulnerabilities and…
affaan-m/ECC
Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk.
wshobson/agents
Covers portfolio risk measurement with VaR, CVaR, Sharpe, Sortino and drawdown, plus guidance on limits, stress tests and tail risk.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
腾讯云智能顾问架构风险巡检分析报告生成工具。用于分析用户在腾讯云智能顾问产品下的架构图风险巡检情况,从API拉取数据并生成移动端友好的HTML可视化报告,最终将HTML转换为PNG图片输出。当用户提到智能顾问架构巡检、风险分析、巡检报告、架构图风险、腾讯云巡检等关键词时或对当前报告内容修改时,请务必使用此插件。. Tsa Risk is an agent skill from LeoYeAI/openclaw-master-skills.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill tsa-risk -a claude-code`. Or copy the skill folder (skills/cloudq/references/plugins/tsa-risk in LeoYeAI/openclaw-master-skills) into .claude/skills/tsa-risk in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill tsa-risk -a codex`. Or copy the skill folder (skills/cloudq/references/plugins/tsa-risk in LeoYeAI/openclaw-master-skills) into .agents/skills/tsa-risk in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill tsa-risk -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tsa-risk, .gemini/skills/tsa-risk, .github/skills/tsa-risk and .opencode/skills/tsa-risk in your project.
Going by SKILL.md and its folder, Tsa Risk needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named TENCENTCLOUD_SECRET_KEY and TENCENTCLOUD_TOKEN. Our summary lists: Python 3; A credential in TENCENTCLOUD_SECRET_KEY; A credential in TENCENTCLOUD_TOKEN. Its frontmatter pre-approves these tools: Bash, Read, Grep, Write.
SKILL.md names 1 domain. In commands or code: console.cloud.tencent.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), 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.
Tsa Risk is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Tsa Risk: Risk (alsk1992/CloddsBot, 3k stars), Trader Risk (ruvnet/ruflo, 74k stars), Risk Management Specialist (alirezarezvani/claude-skills, 28k stars) and Conducting Cyber Risk Assessment With Nist 800 30 (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.