Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Try-catch-finally-awesome/e2e-skills-hub --skill cleangit clone --depth 1 https://github.com/Try-catch-finally-awesome/e2e-skills-hubWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/try-catch-finally-awesome/e2e-skills-hub/clean)<a href="https://agentmods.dev/skills/try-catch-finally-awesome/e2e-skills-hub/clean"><img src="https://agentmods.dev/badge/skills/try-catch-finally-awesome/e2e-skills-hub/clean/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/try-catch-finally-awesome/e2e-skills-hub/clean"><img src="https://agentmods.dev/badge/skills/try-catch-finally-awesome/e2e-skills-hub/clean.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.01005 |
| Opus 5 | $0.00013 | $0.00502 |
| Sonnet 5 | $0.00005 | $0.00201 |
| Haiku 4.5 | $0.00003 | $0.00101 |
Grade C, and why
e2e-skills-hub:clean scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
Bash: rm -rf "{skills_dir}/e2e-orchestrator" How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/e2e-skills-hub:clean — 清理所有 Skills
用法
/e2e-skills-hub:clean
/e2e-skills-hub:clean --confirm
参数
| 参数 | 类型 | 必填 | 默认值 | 说明 |
|---|---|---|---|---|
--confirm |
boolean | 否 | false | 跳过交互式确认,直接执行清理 |
执行步骤
步骤 1: 定位 Skills 存储目录
-
按优先级搜索已生成的 Skills:
- 项目级:
{项目根目录}/.claude/skills/e2e/ - 用户级:
~/.claude/skills/e2e/{项目名}/
- 项目级:
-
如果两个位置都未找到:
当前项目没有已生成的 E2E Skills,无需清理。终止执行。
步骤 2: 盘点待清理内容
-
扫描目录下所有文件:
Glob: {skills_dir}/**/* -
统计待清理内容:
- SKILL.md 文件数量
- config/projects.yaml 是否存在
- metadata.json 是否存在
- 其他文件
-
展示待清理内容清单:
以下文件将被删除: {skills_dir}/e2e-orchestrator/SKILL.md {skills_dir}/e2e-code-tracer/SKILL.md {skills_dir}/e2e-testcase-generator/SKILL.md {skills_dir}/e2e-playwright-runner/SKILL.md {skills_dir}/e2e-error-fixer/SKILL.md {skills_dir}/e2e-report-generator/SKILL.md {skills_dir}/config/projects.yaml {skills_dir}/metadata.json 共 {n} 个文件,{m} 个目录将被清理。
步骤 3: 确认清理
-
如果未指定
--confirm:⚠ 此操作将删除当前项目所有已生成的 E2E Skills 和配置文件。 此操作不可撤销。确认清理? (y/n)等待用户回复:
- 用户确认 → 继续步骤 4
- 用户取消 → 输出
已取消清理操作。终止执行
-
如果指定了
--confirm,直接继续
步骤 4: 执行清理
-
删除所有 SKILL.md 文件和空目录:
Bash: rm -rf "{skills_dir}/e2e-orchestrator" Bash: rm -rf "{skills_dir}/e2e-code-tracer" Bash: rm -rf "{skills_dir}/e2e-testcase-generator" Bash: rm -rf "{skills_dir}/e2e-playwright-runner" Bash: rm -rf "{skills_dir}/e2e-error-fixer" Bash: rm -rf "{skills_dir}/e2e-report-generator" -
删除配置文件:
Bash: rm -rf "{skills_dir}/config" -
删除元数据文件:
Bash: rm -f "{skills_dir}/metadata.json" -
如果 skills 目录为空,删除目录本身:
Bash: rmdir "{skills_dir}" 2>/dev/null || true
步骤 5: 输出结果
✓ 清理完成
已删除 {n} 个 SKILL.md 文件
已删除配置文件 (projects.yaml, metadata.json)
已清理目录 {skills_dir}
提示: 如需重新初始化,请运行 /e2e-skills-hub:init
输出
- 清理确认结果和已删除文件清单
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 127 lines · 25 tokens per session scan C 5c10a6ffecc8
e2e-skills-hub:clean is a skill published in the GitHub repository Try-catch-finally-awesome/e2e-skills-hub (3 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 1,005 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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