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/skynetcmd/m3-memory/statusgit clone --depth 1 https://github.com/skynetcmd/m3-memoryWhat 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 | $0.00021 | $0.00184 |
| Opus 5 | $0.00010 | $0.00092 |
| Sonnet 5 | $0.00004 | $0.00037 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
status 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
Step 1 — run via the Bash tool, trying these resolvers in order. Stop at the first that returns exit 0:
mcp-memory chatlog status # 1. plain CLI
python -m m3_memory.cli chatlog status # 2. module form (Windows --user case)
.venv/Scripts/python.exe -m m3_memory.cli chatlog status # 3. repo venv (Windows)
.venv/bin/python -m m3_memory.cli chatlog status # 3. repo venv (macOS/Linux)
Step 2 — print the table verbatim.
Step 3 — append exactly ONE line of interpretation: capture rate, hook health, or any explicit warning the table reported.
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 First seen · 18 lines · 21 tokens per session scan A a8823c58be13
status is a command published in the GitHub repository skynetcmd/m3-memory (22 stars, last pushed 3d ago), licensed Apache-2.0. It adds 21 tokens to every session and 184 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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