Skills Hub is a cross-platform desktop application for installing, organizing, updating, and syncing Agent Skills across AI coding tools. Developers use it to maintain one central skill library and distribute selected skills to tools such as Claude Code, Codex, Cursor, OpenCode, and Antigravity. Its catalogue instructions describe how to work with the managed skills.
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 qufei1993/skills-hub --skill dsh-error-handlinggit clone --depth 1 https://github.com/qufei1993/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/qufei1993/skills-hub/dsh-error-handling)<a href="https://agentmods.dev/skills/qufei1993/skills-hub/dsh-error-handling"><img src="https://agentmods.dev/badge/skills/qufei1993/skills-hub/dsh-error-handling/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/qufei1993/skills-hub/dsh-error-handling"><img src="https://agentmods.dev/badge/skills/qufei1993/skills-hub/dsh-error-handling.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 | $0.00039 | $0.00391 |
| Opus 5.5 | $0.00016 | $0.00156 |
| Sonnet 5.5 | $0.00008 | $0.00078 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
dsh-error-handling scanned grade A with 0 findings 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 2d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
明确失败行为及处理责任
阅读项目上下文、生命周期和验证证据。沿用项目现有的错误约定。
- 追踪操作的公开入口、状态负责方、外部副作用和最终报告。建立简短对应关系：触发条件 → 错误分类 → 状态保证 → 处理者 → 用户可见结果。区分响应失败与操作失败。
- 用稳定标识区分已知业务错误；保留意外错误的原因，不把所有异常都转成成功默认值或同一个通用业务错误码。
- 明确失败后状态属于未变化、部分完成、已提交还是结果未知。只有状态负责方能证明恢复和继续执行的前提；无法证明时停止依赖该状态的后续工作。写入结果不明确时，使用真实服务支持的核对或幂等机制，不能仅根据异常文字无条件重试。
- 确保取消、回调错误和清理失败到达适当的处理位置。避免重复报告；保留足够的处理线索，不泄露秘密。
- 通过真实调用方验证副作用发生前后的失败，包括“已经提交但响应丢失”。分别断言可观察状态和报告内容；支持恢复时，覆盖恢复成功和恢复失败。
完成时说明明确的状态保证、负责的处理者和实际测试的失败场景。服务行为约定不足以建立保证时，如实报告结果未知。
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 17 lines · 39 tokens per session scan A 28c4116addc2
dsh-error-handling is a skill published in the GitHub repository qufei1993/skills-hub (1,848 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 391 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-31.
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