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 ApiliumCode/mayros --skill incident-classifiergit clone --depth 1 https://github.com/ApiliumCode/mayrosWrote 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/apiliumcode/mayros/incident-classifier)<a href="https://agentmods.dev/skills/apiliumcode/mayros/incident-classifier"><img src="https://agentmods.dev/badge/skills/apiliumcode/mayros/incident-classifier/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/apiliumcode/mayros/incident-classifier"><img src="https://agentmods.dev/badge/skills/apiliumcode/mayros/incident-classifier.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 | $0.00017 | $0.00320 |
| Opus 5.5 | $0.00007 | $0.00128 |
| Sonnet 5.5 | $0.00003 | $0.00064 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
incident-classifier 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 1mo 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
incident-classifier
Classify errors and incidents by type, severity, and remediation steps using HTTP status codes and error pattern analysis.
When to Use
Use when triaging production incidents, analyzing error logs, or building automated incident response workflows. The skill recognizes HTTP status codes (400-504) and 8 common error type patterns including timeouts, authentication failures, rate limits, network errors, validation issues, memory exhaustion, deadlocks, and disk space problems.
Instructions
- Recall previous incident history with
skill_memory_contextusing predicateincident:history - For each error or incident, the skill classifies it by type and assigns a severity level (P0-P4)
- Critical findings (P0/P1) are asserted with
skill_assertusing predicateincident:classifiedwith proof required - Informational findings use predicate
incident:findingwithout proof - Query incident history to track patterns and recurring issues over time
What ships with it
9 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.
- 1mo ago First seen · 37 lines · 17 tokens per session scan A 3ba0f622e4a2
incident-classifier is a skill published in the GitHub repository ApiliumCode/mayros (13 stars, last pushed 3mo ago), licensed MIT. It adds 17 tokens to every session and 320 once invoked, about $0.0001 per session on Opus 5.5. 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.
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