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 saajunaid/caddis-plugin --skill error-handlinggit clone --depth 1 https://github.com/saajunaid/caddis-pluginWrote 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/saajunaid/caddis-plugin/error-handling)<a href="https://agentmods.dev/skills/saajunaid/caddis-plugin/error-handling"><img src="https://agentmods.dev/badge/skills/saajunaid/caddis-plugin/error-handling/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/saajunaid/caddis-plugin/error-handling"><img src="https://agentmods.dev/badge/skills/saajunaid/caddis-plugin/error-handling.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00051 | $0.01935 |
| Opus 5 | $0.00026 | $0.00967 |
| Sonnet 5 | $0.00010 | $0.00387 |
| Haiku 4.5 | $0.00005 | $0.00194 |
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 5d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 5d ago First seen · 261 lines · 51 tokens per session scan A 0a0a4d9b3986
error-handling is a skill published in the GitHub repository saajunaid/caddis-plugin (0 stars, last pushed 10d ago), with no licence file. It adds 51 tokens to every session and 1,935 once invoked, about $0.0003 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
auto-fix
A bug-fixing workflow that first reproduces a problem with a test, then applies the smallest code change needed. It also checks the related code path and runs tests afterward.
python-run
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debugging
A structured method for finding and fixing software bugs. It starts by writing a test that reproduces the failure, then investigates its underlying cause before making a small fix.
ast-refactoring
A code-refactoring guide that uses an abstract syntax tree, a structured representation of source code, to make changes based on code meaning rather than text matching.
entropy-scan
A codebase health scan that measures disorder and highlights technical debt, meaning code problems that make future changes slower or riskier. It checks complexity, dependencies, repeated code, file size, and recent change frequency.
auto-doctor
A diagnostic helper for checking whether an agent harness is installed correctly and whether its platform connections are wired up.