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/skynetcmd/m3-memory/m3-writenpx skills add skynetcmd/m3-memory --skill m3-writegit 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-write)<a href="https://agentmods.dev/skills/skynetcmd/m3-memory/m3-write"><img src="https://agentmods.dev/badge/skills/skynetcmd/m3-memory/m3-write.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 | $0.00026 | $0.00154 |
| Opus 5 | $0.00013 | $0.00077 |
| Sonnet 5 | $0.00005 | $0.00031 |
| Haiku 4.5 | $0.00003 | $0.00015 |
Grade A, and why
m3-write scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
M3 Write
When to Use
Use this skill when the user wants to explicitly write a simple note to their long-term memory without going through auto-classification.
Instructions
Call m3:memory_write with content="$ARGUMENTS", type="note", scope="user".
Report the resulting id and any contradiction events (memory_write returns supersede info if the new memory invalidates an older one).
If the user wanted a different type (decision, fact, preference, etc.), suggest /m3:save for the auto-classified path.
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 · 16 lines · 26 tokens per session scan A b084c21edc84
m3-write is a skill published in the GitHub repository skynetcmd/m3-memory (22 stars, last pushed 4d ago), licensed Apache-2.0. It adds 26 tokens to every session and 154 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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