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-cleanupgit clone --depth 1 https://github.com/dmzoneill/redhat-ai-workflowWrote 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/commands/dmzoneill/redhat-ai-workflow/memory-cleanup)<a href="https://agentmods.dev/commands/dmzoneill/redhat-ai-workflow/memory-cleanup"><img src="https://agentmods.dev/badge/commands/dmzoneill/redhat-ai-workflow/memory-cleanup.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 | $0.00000 | $0.00502 |
| Opus 5 | $0.00000 | $0.00251 |
| Sonnet 5 | $0.00000 | $0.00100 |
| Haiku 4.5 | $0.00000 | $0.00050 |
Grade A, and why
memory-cleanup 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 4d 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
/memory-cleanup
Clean up stale entries from memory.
Overview
Clean up stale entries from memory.
Underlying Skill: memory_cleanup
This command is a wrapper that calls the memory_cleanup skill. For detailed process information, see skills/memory_cleanup.md.
Arguments
| Argument | Required | Description |
|---|---|---|
dry_run |
No | - |
Usage
Examples
skill_run("memory_cleanup", '{}')
skill_run("memory_cleanup", '{"dry_run": false}')
/memory-cleanup
Process Flow
This command invokes the memory_cleanup skill. The process flow is:
flowchart LR
START([User runs /memory-cleanup]) --> VALIDATE[Validate Arguments]
VALIDATE --> CALL[Call memory_cleanup 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_cleanup skill documentation](../skills/memory_cleanup.md).
## Details
## Usage
**Preview what would be removed (dry run - default):**
```text
skill_run("memory_cleanup", '{}')
```text
**Actually remove stale entries:**
```text
skill_run("memory_cleanup", '{"dry_run": false}')
```text
## What Gets Cleaned
- **Active Issues**: Issues with status "Done", "Closed", or "Resolved"
- **Open MRs**: MRs with pipeline status "merged" or "closed"
- **Ephemeral Namespaces**: Namespaces older than 7 days (configurable)
## Options
- `dry_run`: Preview changes without applying (default: true)
- `days`: Remove ephemeral namespaces older than this (default: 7)
## Example
```text
/memory-cleanup
This shows what would be cleaned. Run with dry_run: false to apply.
Related Commands
(To be determined based on command relationships)
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.
- 4d ago First seen · 91 lines · 0 tokens per session scan A 6a8c3ed03409
memory-cleanup is a command published in the GitHub repository dmzoneill/redhat-ai-workflow (5 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 502 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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