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/memory-initgit 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 | $0.00612 |
| Opus 5 | $0.00000 | $0.00306 |
| Sonnet 5 | $0.00000 | $0.00122 |
| Haiku 4.5 | $0.00000 | $0.00061 |
Grade A, and why
memory-init 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/memory-init
Initialize or reset memory files to a clean state.
Overview
Initialize or reset memory files to a clean state.
Underlying Skill: memory_init
This command is a wrapper that calls the memory_init skill. For detailed process information, see skills/memory_init.md.
Arguments
| Argument | Required | Description |
|---|---|---|
confirm |
No | - |
Usage
Examples
skill_run("memory_init", '{"confirm": true}')
skill_run("memory_init", '{"confirm": true, "reset_learned": true}')
skill_run("memory_init", '{"confirm": true, "reset_learned": true, "preserve_patterns": true}')
Process Flow
This command invokes the memory_init skill. The process flow is:
flowchart LR
START([User runs /memory-init]) --> VALIDATE[Validate Arguments]
VALIDATE --> CALL[Call memory_init 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 [memory_init skill documentation](../skills/memory_init.md).
## Details
## Usage
**Reset state files only (preserves learned patterns):**
```text
skill_run("memory_init", '{"confirm": true}')
```text
**Full reset (including learned memory):**
```text
skill_run("memory_init", '{"confirm": true, "reset_learned": true}')
```text
**Full reset but keep patterns:**
```text
skill_run("memory_init", '{"confirm": true, "reset_learned": true, "preserve_patterns": true}')
What Gets Reset
State Files (always reset)
state/current_work.yaml- Active issues, open MRs, follow-upsstate/environments.yaml- Environment status, ephemeral namespaces
Learned Files (only with reset_learned=true)
learned/runbooks.yaml- Operational procedureslearned/teammate_preferences.yaml- Review preferenceslearned/service_quirks.yaml- Service behaviorslearned/patterns.yaml- Error patterns (preserved by default)
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 · 96 lines · 0 tokens per session scan A 9bfd7d290104
memory-init 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 612 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.
Other commands, from other repositories
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objective-next-plan
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land
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