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/roboco-io/ralph-mem/mem-searchgit clone --depth 1 https://github.com/roboco-io/ralph-memWrote 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/roboco-io/ralph-mem/mem-search)<a href="https://agentmods.dev/commands/roboco-io/ralph-mem/mem-search"><img src="https://agentmods.dev/badge/commands/roboco-io/ralph-mem/mem-search.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 | $0.00019 | $0.00194 |
| Opus 5 | $0.00010 | $0.00097 |
| Sonnet 5 | $0.00004 | $0.00039 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
mem-search 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 3d 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 Search
저장된 관찰 기록과 세션 정보를 검색합니다.
사용법
"keyword"- 키워드로 검색 (Layer 1)"keyword" --layer 2- 타임라인 컨텍스트 포함--layer 3 obs-id- 특정 관찰의 전체 상세 정보"keyword" --since 7d- 최근 7일 내 검색
검색 레이어
| Layer | 내용 | 토큰 |
|---|---|---|
| 1 | Index (ID + 점수) | 50-100/결과 |
| 2 | Timeline (시간순 컨텍스트) | 200-300/결과 |
| 3 | Full Details | 500-1000/결과 |
$ARGUMENTS
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.
- 3d ago First seen · 25 lines · 19 tokens per session scan A 017d4392bcea
mem-search is a command published in the GitHub repository roboco-io/ralph-mem (2 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 194 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
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