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/find-in-chatgit 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/commands/skynetcmd/m3-memory/find-in-chat)<a href="https://agentmods.dev/commands/skynetcmd/m3-memory/find-in-chat"><img src="https://agentmods.dev/badge/commands/skynetcmd/m3-memory/find-in-chat.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 5.1 | $0.00017 | $0.00134 |
| Opus 5 | $0.00009 | $0.00067 |
| Sonnet 5 | $0.00003 | $0.00027 |
| Haiku 4.5 | $0.00002 | $0.00013 |
Grade A, and why
find-in-chat scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Call m3:chatlog_search with query="$ARGUMENTS", k=10.
Group results by conversation_id and present chronologically. For each match show:
- timestamp + host_agent (claude-code / gemini-cli)
- model_id
- 2-line excerpt with the matching span highlighted
If results span more than one conversation, mention that — the user may want to drill into a specific session via chatlog_list_conversations (a related MCP tool).
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.
- 6d ago First seen · 15 lines · 17 tokens per session scan A 79813cf13d9e
find-in-chat is a command published in the GitHub repository skynetcmd/m3-memory (23 stars, last pushed 6d ago), licensed Apache-2.0. It adds 17 tokens to every session and 134 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.
Other commands, from other repositories
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om-correct
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om-intake
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om-dump
Freeform capture mode. Dump anything — conversations, decisions, incidents, wins, thoughts — and I'll route it all to the right notes with proper templates, frontmatter, and wikilinks.
load-claude-md
Refresh context with CLAUDE.md instructions.
ox-prime
Load SageOx team context for this AI coworker session.