错误处理规范

错误处理规范 is a cursor rule for Cursor from BambooGap/skills-orchestrator. It costs 0 tokens per session (96 once invoked), scanned A, original, MIT.

Rules for handling errors in layers, separating expected business problems from technical failures. They also cover keeping useful exceptions visible instead of silently ignoring them or adding unnecessary safeguards.

In plain words
What is it for?
Use it when designing error flows, writing exception handling, and deciding how different failures should be reported.
Why use it?
It makes failures easier to understand and prevents bugs from being hidden by swallowed errors or excessive defensive code.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/bamboogap/skills-orchestrator/error-handling
Clone the repo
git clone --depth 1 https://github.com/BambooGap/skills-orchestrator

Made for: Cursor.

Wrote 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.

agentmods badge for 错误处理规范

README.md
[![agentmods](https://agentmods.dev/badge/rules/bamboogap/skills-orchestrator/error-handling.svg)](https://agentmods.dev/rules/bamboogap/skills-orchestrator/error-handling)
Your own site
<a href="https://agentmods.dev/rules/bamboogap/skills-orchestrator/error-handling"><img src="https://agentmods.dev/badge/rules/bamboogap/skills-orchestrator/error-handling.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 96 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00096
Opus 5 $0.00000 $0.00048
Sonnet 5 $0.00000 $0.00019
Haiku 4.5 $0.00000 $0.00010

Measured 4d ago against content hash b66419f53e72, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

错误处理规范 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 4d 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.

.cursor/rules/error-handling.mdc · 13 lines

What it actually says

错误处理规范

分层错误处理:业务错误 vs 技术错误,不吞异常,不过度防御

如需完整内容,请使用 skills-orchestrator sync --full 导出

Changes

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.

  1. 4d ago First seen · 13 lines · 0 tokens per session scan A b66419f53e72

Subscribe to this mod's changes

错误处理规范 is a cursor rule published in the GitHub repository BambooGap/skills-orchestrator (4 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 96 tokens. 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 2026-08-31.