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 ThinkfleetAI/memmesh --skill switch-projectgit 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/switch-project)<a href="https://agentmods.dev/skills/thinkfleetai/memmesh/switch-project"><img src="https://agentmods.dev/badge/skills/thinkfleetai/memmesh/switch-project/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/thinkfleetai/memmesh/switch-project"><img src="https://agentmods.dev/badge/skills/thinkfleetai/memmesh/switch-project.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 | $0.00052 | $0.00309 |
| Opus 5.5 | $0.00021 | $0.00124 |
| Sonnet 5.5 | $0.00010 | $0.00062 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
switch-project 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 1mo 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
switch-project
Change which scope memory operations target.
Default detection
By default projectId = the git repo directory name, userId = the OS user,
platformId = local. That's usually right.
Point at another project
Pass an explicit projectId on the call:
{ "name": "memory_search", "arguments": { "projectId": "other-repo", "limit": 20 } }
For the rest of the task, keep using that projectId on observe / save /
search so reads and writes stay consistent.
Widen the search
- User-level (personal preferences, cross-project): drop
projectId, passuserIdandscope: "user". - Everything under the platform: pass only
platformId(and optionallyscope). Use sparingly — it can be noisy.
Confirm the switch
Tell the user which scope you're now reading/writing, and switch back when the cross-project detour is done, so you don't accidentally write memories into the wrong project.
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.
- 1mo ago First seen · 40 lines · 52 tokens per session scan A 2777ca336194
switch-project is a skill published in the GitHub repository ThinkfleetAI/memmesh (405 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 309 once invoked, about $0.0002 per session on Opus 5.5. 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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