Memmy is a local memory hub that gives multiple AI agents one shared, persistent context about their user. It helps people continue work across agents such as Claude Code, Codex, OpenClaw, and Hermes Agent. The catalogue entries are skills for using Memmy with supported agents.
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 MemTensor/memmy-agent --skill update-setupgit clone --depth 1 https://github.com/MemTensor/memmy-agentWrote 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/memtensor/memmy-agent/update-setup)<a href="https://agentmods.dev/skills/memtensor/memmy-agent/update-setup"><img src="https://agentmods.dev/badge/skills/memtensor/memmy-agent/update-setup/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/memtensor/memmy-agent/update-setup"><img src="https://agentmods.dev/badge/skills/memtensor/memmy-agent/update-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 12 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 35 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 45 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 50 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 108 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00000 | $0.01284 |
| Opus 5.5 | $0.00000 | $0.00514 |
| Sonnet 5.5 | $0.00000 | $0.00257 |
| Haiku 4.5 | $0.00000 | $0.00128 |
Grade A, and why
update-setup 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.
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Update Setup
Generate a personalized upgrade skill for this workspace.
Step 1: Check Existing
Use read_file to check if skills/update/SKILL.md already exists in the workspace.
If it exists, ask the user: "An upgrade skill already exists. Reconfigure?" Wait for the user's reply. If no, stop here.
Step 2: Current Version and Install Clues
Use exec to run memmy --version. Tell the user the current version.
Then collect install clues with exec. These commands are best-effort; if one fails,
keep going and show the useful output:
command -v memmy || true
npm list -g memmy-agent --depth=0 || true
pnpm list -g memmy-agent --depth=0 || true
yarn global list --pattern memmy-agent || true
Summarize what you found in one short paragraph. Use the clues only to suggest a likely install method. Do not treat them as confirmation.
Step 3: Confirm Required Inputs
CRITICAL: Do not write skills/update/SKILL.md until the install method is
explicitly confirmed by the user. The install method must come from a user
answer or confirmation, not from inference alone. If you cannot get a clear
answer, stop and ask the user to rerun this setup when they know how memmy was
installed.
Treat a request like "generate upgrade config", "set up updates", or "use
update-setup" as the goal, not as confirmation of the install method. Install
clues are only hints for the question summary; never choose npm, pnpm,
yarn, or source from clues alone. In the initial setup turn, write
skills/update/SKILL.md only if the user message already contains an explicit
install method and proxy answer. Otherwise, ask Question 1 and stop.
Hard stop rule: after collecting install clues without an explicit install
method from the user, do not call write_file for any path ending in
skills/update/SKILL.md in that same assistant turn. This remains true when
update-setup is part of a larger task that also creates other skills or runs
external installers. Finish the safe parts, ask Question 1, and wait for a later user
message before continuing.
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 · 128 lines · 0 tokens per session scan A ae7cf948da03
update-setup is a skill published in the GitHub repository MemTensor/memmy-agent (2,108 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,284 tokens. 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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