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.
git clone --depth 1 https://github.com/qualixar/superlocalmemoryWrote 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/qualixar/superlocalmemory/slm-media)<a href="https://agentmods.dev/commands/qualixar/superlocalmemory/slm-media"><img src="https://agentmods.dev/badge/commands/qualixar/superlocalmemory/slm-media/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/commands/qualixar/superlocalmemory/slm-media"><img src="https://agentmods.dev/badge/commands/qualixar/superlocalmemory/slm-media.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 | $0.00101 | $0.03825 |
| Opus 5.5 | $0.00040 | $0.01530 |
| Sonnet 5.5 | $0.00020 | $0.00765 |
| Haiku 4.5 | $0.00010 | $0.00382 |
Grade A, and why
slm-media 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 today.
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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- today Changed f7f4cb0f3572
- yesterday Changed 92a8e247e3f7
- 2d ago Changed 57ab58eb6cd7
- 3d ago Changed · +6 lines a467a2cc4ee0
- 4d ago First seen · 336 lines · 101 tokens per session scan A 6cfc29586b9e
slm-media is a command published in the GitHub repository qualixar/superlocalmemory (249 stars, last pushed today), licensed AGPL-3.0. It adds 101 tokens to every session and 3,825 once invoked, about $0.0004 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 2026-10-13.
Other commands, from other repositories
recall
Search past session observations and lessons for relevant context. Wrap the memorysmartsearch and memorylessonrecall MCP tools.
remember
Explicitly save an insight, decision, or learning to agentmemory for future sessions. Wraps the memorysave MCP tool.
tree-ring-capture
Capture a concise validated lesson decision warning or preference in Tree Ring Memory.
tree-ring-audit
Audit consolidate or forget stale sensitive or superseded Tree Ring Memory entries.
tree-ring-certify
Generate Tree Ring harness or recall-quality evidence without confusing it with the full framework release suite.
wrap
Close the session cleanly. Update entity state. Capture decisions. Detect momentum shifts.