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/wojcikmm/spec-development-protocol/error-handlingnpx skills add WojcikMM/spec-development-protocol --skill error-handlinggit clone --depth 1 https://github.com/WojcikMM/spec-development-protocolWrote 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/wojcikmm/spec-development-protocol/error-handling)<a href="https://agentmods.dev/skills/wojcikmm/spec-development-protocol/error-handling"><img src="https://agentmods.dev/badge/skills/wojcikmm/spec-development-protocol/error-handling.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.00318 |
| Opus 5 | $0.00007 | $0.00159 |
| Sonnet 5 | $0.00003 | $0.00064 |
| Haiku 4.5 | $0.00001 | $0.00032 |
Grade A, and why
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 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.
What it actually says
Skill: Error Handling
Purpose
Implement error handling that is observable, safe for users, and actionable for developers.
Prerequisites
- Error categories are understood (user error, system error, etc.).
- Logging stack is defined in
TECH.md.
Checklist
- Classify Errors: Distinguish between user errors (4xx), system errors (5xx), programmer errors, and transient errors.
- Backend/API: Validate input at the entry point. Use a consistent error response shape. Never expose stack traces. Return correct HTTP status codes. Log system errors with a trace ID.
- Service/Domain: Return explicit error types (e.g., Result objects) instead of throwing generic exceptions. Don't swallow errors; re-throw or convert them.
- Frontend/UI: Handle loading, success, and error states for every async call. Show user-friendly messages. Use Error Boundaries (React) to prevent page crashes. Log UI errors to a tracking service.
- Retries & Timeouts: Set explicit timeouts on all external calls. Retry only idempotent operations, using exponential backoff with jitter. Use a circuit breaker for unreliable dependencies.
Quality Bar
- Every async call has an explicit error handler.
- No internal error details leak to API responses or UI.
- All errors are logged with sufficient context for debugging.
- Error paths are covered by tests.
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 · 31 lines · 14 tokens per session scan A 005f9fb78353
error-handling is a skill published in the GitHub repository WojcikMM/spec-development-protocol (2 stars, last pushed 23d ago), licensed MIT. It adds 14 tokens to every session and 318 once invoked, about $0.0001 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 2026-08-31.
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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.
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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…