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 skills add skynetcmd/m3-memory --skill m3-searchgit clone --depth 1 https://github.com/skynetcmd/m3-memoryWrote 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/skynetcmd/m3-memory/m3-search)<a href="https://agentmods.dev/skills/skynetcmd/m3-memory/m3-search"><img src="https://agentmods.dev/badge/skills/skynetcmd/m3-memory/m3-search/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/skills/skynetcmd/m3-memory/m3-search"><img src="https://agentmods.dev/badge/skills/skynetcmd/m3-memory/m3-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.00202 |
| Opus 5 | $0.00010 | $0.00101 |
| Sonnet 5 | $0.00004 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
m3-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
M3 Search
When to Use
Use this skill when the user wants to search their memories, find information they previously saved, check past conventions or decisions, or resolve queries involving prior context.
Instructions
Call the m3:memory_search MCP tool with query="$ARGUMENTS" and k=8.
Render the results as a numbered list:
1. <title> — <type> — score=<float>
<first 200 chars of content>
id: <uuid-prefix>
If the user wants to drill into one, suggest /m3:get <id-prefix>.
If results look stale or contradictory, suggest /m3:forget <id> for stale entries or /m3:save <correct-fact> to add the new state (contradiction detection will supersede automatically).
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.
- 9d ago First seen · 23 lines · 21 tokens per session scan A 939089b1fdb6
m3-search is a skill published in the GitHub repository skynetcmd/m3-memory (23 stars, last pushed today), licensed Apache-2.0. It adds 21 tokens to every session and 202 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 2026-08-30.
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