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 agentmods add skills/recomposesh/recompose/error-handling-patternsnpx skills add recomposesh/recompose --skill error-handling-patternsgit clone --depth 1 https://github.com/recomposesh/recomposeWhat 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 | $0.00043 | $0.00856 |
| Opus 5 | $0.00022 | $0.00428 |
| Sonnet 5 | $0.00009 | $0.00171 |
| Haiku 4.5 | $0.00004 | $0.00086 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Error Handling Patterns
Build resilient applications with robust error handling strategies that gracefully handle failures and provide excellent debugging experiences.
When to Use This Skill
- Implementing error handling in new features
- Designing error-resilient APIs
- Debugging production issues
- Improving application reliability
- Creating better error messages for users and developers
- Implementing retry and circuit breaker patterns
- Handling async/concurrent errors
- Building fault-tolerant distributed systems
Core Concepts
1. Error Handling Philosophies
Exceptions vs Result Types:
- Exceptions: Traditional try-catch, disrupts control flow
- Result Types: Explicit success/failure, functional approach
- Error Codes: C-style, requires discipline
- Option/Maybe Types: For nullable values
When to Use Each:
- Exceptions: Unexpected errors, exceptional conditions
- Result Types: Expected errors, validation failures
- Panics/Crashes: Unrecoverable errors, programming bugs
2. Error Categories
Recoverable Errors:
- Network timeouts
- Missing files
- Invalid user input
- API rate limits
Unrecoverable Errors:
- Out of memory
- Stack overflow
- Programming bugs (null pointer, etc.)
Detailed patterns and worked examples
Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.
Best Practices
- Fail Fast: Validate input early, fail quickly
- Preserve Context: Include stack traces, metadata, timestamps
- Meaningful Messages: Explain what happened and how to fix it
- Log Appropriately: Error = log, expected failure = don't spam logs
- Handle at Right Level: Catch where you can meaningfully handle
- Clean Up Resources: Use try-finally, context managers, defer
- Don't Swallow Errors: Log or re-throw, don't silently ignore
- Type-Safe Errors: Use typed errors when possible
# Good error handling example
def process_order(order_id: str) -> Order:
"""Process order with comprehensive error handling."""
try:
# Validate input
if not order_id:
raise ValidationError("Order ID is required")
# Fetch order
order = db.get_order(order_id)
if not order:
raise NotFoundError("Order", order_id)
# Process payment
try:
payment_result = payment_service.charge(order.total)
except PaymentServiceError as e:
# Log and wrap external service error
logger.error(f"Payment failed for order {order_id}: {e}")
raise ExternalServiceError(
f"Payment processing failed",
service="payment_service",
details={"order_id": order_id, "amount": order.total}
) from e
# Update order
order.status = "completed"
order.payment_id = payment_result.id
db.save(order)
return order
except ApplicationError:
# Re-raise known application errors
raise
except Exception as e:
# Log unexpected errors
logger.exception(f"Unexpected error processing order {order_id}")
raise ApplicationError(
"Order processing failed",
code="INTERNAL_ERROR"
) from e
What ships with it
1 file 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 · 122 lines · 43 tokens per session scan A 5fb7f4d995fc
error-handling-patterns is a skill published in the GitHub repository recomposesh/recompose (25 stars, last pushed 6d ago), licensed MIT. It adds 43 tokens to every session and 856 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…