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 curiositech/some_claude_skills --skill error-handling-patternsgit clone --depth 1 https://github.com/curiositech/some_claude_skillsWrote 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/curiositech/some_claude_skills/error-handling-patterns)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/error-handling-patterns"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/error-handling-patterns.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00111 | $0.02924 |
| Opus 5 | $0.00056 | $0.01462 |
| Sonnet 5 | $0.00022 | $0.00585 |
| Haiku 4.5 | $0.00011 | $0.00292 |
Grade A, and why
error-handling-patterns 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.
How it starts
The opening of the file, as written. The whole thing — 348 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Error Handling Patterns
Design error handling strategies that make failures explicit, recoverable, and debuggable. The central skill is matching error handling style to error semantics: not all errors are equal, and treating them equally produces systems that are equally bad at handling all of them.
When to Use
✅ Use for:
- Choosing between exceptions, Result types, or error codes for a domain
- Designing typed error hierarchies in TypeScript or Python
- Implementing retry logic with backoff, jitter, and circuit breaking
- Building React error boundaries and graceful degradation
- Structuring error information for both users and developers
- Python exception chaining and
__cause__/__context__semantics
❌ NOT for:
- Debugging a specific runtime error (use debugger or domain skill)
- Logging pipeline infrastructure (use observability skill)
- APM/monitoring configuration (use site-reliability-engineer skill)
- Writing tests for error paths (use vitest-testing-patterns skill)
Core Decision: Exception vs Result Type vs Error Code
flowchart TD
Q1{Is this a programming error\nor contract violation?} -->|Yes| EX[Throw exception\nlet it crash]
Q1 -->|No| Q2{Is the error part of\nnormal control flow?}
Q2 -->|Yes| Q3{What is the call site context?}
Q2 -->|No| Q4{Do callers need to\ndistinguish error types?}
Q3 -->|Functional / monad-friendly| RT[Result or Either type]
Q3 -->|Simple script or CLI| EC[Error code + message]
Q4 -->|Yes| EH[Typed exception hierarchy]
Q4 -->|No| GE[Generic exception\nwith structured message]
EX --> NOTE1[Never catch at boundary —\nlet process restart]
RT --> NOTE2[Compose with map/flatMap;\ncheck references/error-hierarchy-examples.md]
EH --> NOTE3[See hierarchy design rules below]
Rules of thumb:
- Library code: prefer Result types — never force callers to handle your exceptions
- Application code: typed exception hierarchies work well; errors are exceptional
- CLI / scripts: error codes are fine; the user is the error boundary
- Async workers: Result types or structured error objects with retry metadata
What ships with it
3 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.
- 4d ago First seen · 348 lines · 111 tokens per session scan A 5c6a92427522
error-handling-patterns is a skill published in the GitHub repository curiositech/some_claude_skills (214 stars, last pushed yesterday), licensed MIT. It adds 111 tokens to every session and 2,924 once invoked, about $0.0006 per session on Opus 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 2026-09-03.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
systematic-debugging
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
diagnose
Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.
repro-admin
Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…
byted-util-volcengine-detect-retry
An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.