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/thinkfleetai/memmesh/onboardnpx skills add ThinkfleetAI/memmesh --skill onboardgit clone --depth 1 https://github.com/ThinkfleetAI/memmeshWrote 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/thinkfleetai/memmesh/onboard)<a href="https://agentmods.dev/skills/thinkfleetai/memmesh/onboard"><img src="https://agentmods.dev/badge/skills/thinkfleetai/memmesh/onboard.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 | $0.00072 | $0.00380 |
| Opus 5 | $0.00036 | $0.00190 |
| Sonnet 5 | $0.00014 | $0.00076 |
| Haiku 4.5 | $0.00007 | $0.00038 |
Grade A, and why
onboard 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
onboard
Get a project ready to use MemMesh.
1. Verify wiring
memmesh doctor # binary + MCP config + skill presence
If the MCP server isn't connected, run npx @thinkfleet/memmesh install (see the
memmesh-cli skill), then re-check.
2. Local or hosted?
- Local (default): SQLite, no key, offline. Good for dev tools.
- Hosted: set
MEMMESH_API_KEY/sync.urlin~/.thinkfleet-memory/config.toml. Needed for cross-device sync, the full SDK, and server-side prediction/verticals.
3. Seed existing knowledge
If the repo already has durable context, import it (see the import skill):
MEMORY.md, CLAUDE.md, an ADR folder, or a mem0 export (then consider
memmesh-migrate for a full switch). Feed each item via memory_observe so the
engine extracts + builds the graph, scoped project.
4. Confirm
Run stats to show what's now in scope, and remind the user of the two-rule
loop: the agent will observe their messages and recall at session start
automatically (the always-on memmesh skill). Nothing else to configure.
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 · 40 lines · 72 tokens per session scan A 858eb096fc43
onboard is a skill published in the GitHub repository ThinkfleetAI/memmesh (440 stars, last pushed 9d ago), licensed Apache-2.0. It adds 72 tokens to every session and 380 once invoked, about $0.0004 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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