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 skills/mem0ai/mem0/searchnpx skills add mem0ai/mem0 --skill searchgit clone --depth 1 https://github.com/mem0ai/mem0Wrote 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/skills/mem0ai/mem0/search)<a href="https://agentmods.dev/skills/mem0ai/mem0/search"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/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 | $0.00046 | $0.00328 |
| Opus 5 | $0.00023 | $0.00164 |
| Sonnet 5 | $0.00009 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
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 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.
What it actually says
Search memories
Call search_memories with the user's question. Treat --top-k, --category,
--scope, and --run-id as tool arguments instead of including them in the
query.
Omit top_k to use Mem0's configured default. Omit category to search every
category; a category is a best-effort label Mem0 assigned when it saved the
memory, so if a category search misses, repeat it without the category. Omit
scope to use the configured default, normally repo: this repository's
shared memory, which everyone who works in it contributes to, plus your own
preferences.
Pass scope when the question needs something else: dir to narrow the
shared memory to the directory you are working in (a package inside a
monorepo), mine for your own preferences alone. Pass run_id with a Claude
Code session ID to look at what one earlier session recorded, for example to
pick up where a compacted or closed session left off. Return the tool's result
directly.
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 Changed · -15 lines · -5 tokens per session 962631f77fe8
- 4d ago First seen · 42 lines · 51 tokens per session scan A a26350dcc175
search is a skill published in the GitHub repository mem0ai/mem0 (64,662 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 328 once invoked, about $0.0002 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 2026-08-30.
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