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 commands/dmzoneill/redhat-ai-workflow/learn-patterngit clone --depth 1 https://github.com/dmzoneill/redhat-ai-workflowWhat 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 | $0.00000 | $0.00584 |
| Opus 5 | $0.00000 | $0.00292 |
| Sonnet 5 | $0.00000 | $0.00117 |
| Haiku 4.5 | $0.00000 | $0.00058 |
Grade A, and why
learn-pattern 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 2d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/learn-pattern
Save a new error pattern to memory for future recognition.
Overview
Save a new error pattern to memory for future recognition.
Underlying Skill: learn_pattern
This command is a wrapper that calls the learn_pattern skill. For detailed process information, see skills/learn_pattern.md.
Arguments
| Argument | Required | Description |
|---|---|---|
pattern |
No | - |
meaning |
No | - |
fix |
No | - |
Usage
Examples
skill_run("learn_pattern", '{"pattern": "OOMKilled", "meaning": "Container exceeded memory limit", "fix": "Increase memory limits"}')
/learn-pattern
Pattern: ImagePullBackOff
Meaning: Kubernetes cannot pull the container image
Fix: Check image name, tag, and registry credentials
Commands: kubectl describe pod X, kubectl get events
Category: pod_errors
Process Flow
This command invokes the learn_pattern skill. The process flow is:
flowchart LR
START([User runs /learn-pattern]) --> VALIDATE[Validate Arguments]
VALIDATE --> CALL[Call learn_pattern skill]
CALL --> EXECUTE[Execute Skill Steps]
EXECUTE --> RESULT[Return Result]
RESULT --> END([Complete])
style START fill:#6366f1,stroke:#4f46e5,color:#fff
style END fill:#10b981,stroke:#059669,color:#fff
style CALL fill:#3b82f6,stroke:#2563eb,color:#fff
```text
For detailed step-by-step process, see the [learn_pattern skill documentation](../skills/learn_pattern.md).
## Details
## Usage
When you discover an error pattern and its fix, teach the AI to remember it:
```text
skill_run("learn_pattern", '{"pattern": "OOMKilled", "meaning": "Container exceeded memory limit", "fix": "Increase memory limits"}')
```text
## Categories
- **pod_errors**: Kubernetes pod issues (CrashLoopBackOff, ImagePullBackOff, etc.)
- **log_patterns**: Error messages found in logs
- **network**: Network-related issues
- **general**: Default category
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.
- 2d ago First seen · 91 lines · 0 tokens per session scan A fe3ee980f150
learn-pattern is a command published in the GitHub repository dmzoneill/redhat-ai-workflow (5 stars, last pushed 23d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 584 tokens. 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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OPSX: Verify
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OPSX: Sync
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context
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triage
Triage Linear issue with comprehensive analysis.