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/mikestangdevs/craft-skills/loud-errorsnpx skills add mikestangdevs/craft-skills --skill loud-errorsgit clone --depth 1 https://github.com/mikestangdevs/craft-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/mikestangdevs/craft-skills/loud-errors)<a href="https://agentmods.dev/skills/mikestangdevs/craft-skills/loud-errors"><img src="https://agentmods.dev/badge/skills/mikestangdevs/craft-skills/loud-errors.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 | $0.00138 | $0.01815 |
| Opus 5 | $0.00069 | $0.00907 |
| Sonnet 5 | $0.00028 | $0.00363 |
| Haiku 4.5 | $0.00014 | $0.00181 |
Grade A, and why
loud-errors 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Loud Errors
The failure mode this fixes
The worst error is the one you can't see. Code that swallows failures — catch {}, except: pass, an error logged at debug and then execution continues as if nothing happened — turns a clean crash into a silent corruption that surfaces hours later, somewhere else, with no trace back to the cause. The second-worst is the error that is loud but says nothing: throw new Error("something went wrong") tells the on-call engineer at 3am exactly nothing.
Agents are especially prone to both. They're optimizing for "make the happy path run," so they wrap risky calls in a try that quietly eats the failure, or they emit a generic message to satisfy a linter. The result is code that looks defensive and is actually blind.
This skill does the opposite of defensive-by-swallowing: it makes failures loud (they stop the wrong thing from continuing) and specific (they carry enough context to diagnose without a debugger).
When to Use This Skill
- You see an empty or near-empty catch:
catch (e) {},except: pass,catch { return null },rescue nil - An error is logged and then execution continues as if it succeeded
- A thrown/raised error is generic:
"something went wrong","error","failed", a bare re-throw with no context - A caught exception is replaced by a new one that drops the original cause
- You're reviewing AI-generated code and want to find where failures will be invisible
- A real incident left no useful trace and you're hunting for where the signal got eaten
Don't use when: the swallow is deliberate and correct — a genuinely optional operation (best-effort cache warm, telemetry that must never break the request), a documented retry/fallback, or a control-flow exception in a language that uses them idiomatically. In those cases the rule is not "make it loud," it's "make the intent to swallow explicit" (see step 4). Don't turn an intentional fallback into a crash.
Instructions
1. Find where failures disappear
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 · 107 lines · 138 tokens per session scan A 8832e7d455e1
loud-errors is a skill published in the GitHub repository mikestangdevs/craft-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 138 tokens to every session and 1,815 once invoked, about $0.0007 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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