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/nnnsightnnn/claudekit/ai-error-learnernpx skills add Nnnsightnnn/claudekit --skill ai-error-learnergit clone --depth 1 https://github.com/Nnnsightnnn/claudekitWrote 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/nnnsightnnn/claudekit/ai-error-learner)<a href="https://agentmods.dev/skills/nnnsightnnn/claudekit/ai-error-learner"><img src="https://agentmods.dev/badge/skills/nnnsightnnn/claudekit/ai-error-learner.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 5.1 | $0.00033 | $0.04913 |
| Opus 5 | $0.00016 | $0.02457 |
| Sonnet 5 | $0.00007 | $0.00983 |
| Haiku 4.5 | $0.00003 | $0.00491 |
Grade A, and why
AI Error Learner scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- The number is NOT preceded within 30 characters by one of: `HTTP`, `Status`, `Response`, `code`, `curl`, `fetch`, `GET`, `POST`, `PUT`, `DELETE` The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 358 lines · 33 tokens per session scan A 270db2ab8bb6
AI Error Learner is a skill published in the GitHub repository Nnnsightnnn/claudekit (2 stars, last pushed 2mo ago), with no licence file. It adds 33 tokens to every session and 4,913 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
temporal-debug
Use this skill when the user is debugging a bug, error, crash, or issue that might be tied to a specific point in time (e.g., "crash from 3 hours ago", "bug in v2.4.1", "last night's deploy"). It guides the agent to reconstruct the historical code state and analyze the bug in that context.
ai-slop-cleaner
Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode.
node-zombie-guardian
Use when diagnosing stale or orphaned Node.js processes launched by VCO, auditing ownership/liveness, or safely simulating cleanup without touching external Node workloads.
hns-lsel-curator
Local Self-Evolution Loop (LSEL) curator — the CLUSTER + drain engine for the GOOS-local PROPOSE→APPLY seam closure (SPEC-LSEL-LOCAL-EVOLUTION-001). Companion-offset drain of .moai/lessons-inbox.jsonl with a drain-side severity filter that drops the 65% Bash-timeout/sandbox noise, eventkey clustering with a frequency…
providing-performance-optimization-advice
Produce a prioritized performance-optimization roadmap across frontend, backend, and infrastructure. Use as an explicit/manual helper after bottlenecks are known or suspected, not as the owner of regression detection, profiling capture, or test execution.
openocd
OpenOCD 下载与调试工具，用于探针探测、固件烧录、Flash 擦除、GDB Server 启动、目标复位控制、 Telnet 在线调试（halt/resume/step/寄存器/内存/断点）、GDB 源码级调试，以及 Semihosting/ITM 输出捕获和底层查询。 当用户提到 OpenOCD、ST-Link、CMSIS-DAP、DAPLink、FTDI、烧录固件、擦除 Flash、GDB Server、 reset、interface/target/board 配置、openocd.cfg、在线调试、单步、断点、寄存器查看、 内存读写、semihosting 时自动触发，也兼容 /openocd 显式调用。…