Memoh is an open-source multi-agent platform that gives each AI agent a persistent computer-like workspace with a filesystem, desktop, browser, network access, and long-term memory. It is for individuals and teams running agents continuously, including built-in agents or coding agents such as Claude Code and Codex, through chat platforms and a web interface.
Borrowing it
Nothing to install: this file belongs to felinics/Memoh. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/felinics/Memoh/main/.agents/skills/humanizer-zh/SKILL.mdgit clone --depth 1 https://github.com/felinics/MemohWrote 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/felinics/memoh/humanizer-zh)<a href="https://agentmods.dev/skills/felinics/memoh/humanizer-zh"><img src="https://agentmods.dev/badge/skills/felinics/memoh/humanizer-zh/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/felinics/memoh/humanizer-zh"><img src="https://agentmods.dev/badge/skills/felinics/memoh/humanizer-zh.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 | $0.00120 | $0.05461 |
| Opus 5.5 | $0.00048 | $0.02184 |
| Sonnet 5.5 | $0.00024 | $0.01092 |
| Haiku 4.5 | $0.00012 | $0.00546 |
Grade A, and why
humanizer-zh 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 2mo 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 485 lines · 120 tokens per session scan A e0edbdbc9008
humanizer-zh is a skill published in the GitHub repository felinics/Memoh (2,785 stars, last pushed yesterday), licensed AGPL-3.0. It adds 120 tokens to every session and 5,461 once invoked, about $0.0005 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.
humanizer-zh compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| humanizer-zhfelinics/Memoh | Skill | 2.8k | yesterday | AGPL-3.0 | A | 120 | Claude Code |
| lobu-operatorlobu-ai/lobu | Skill | 233 | yesterday | Apache-2.0 | A | 0 | Claude Code, Codex |
| lobu-builderlobu-ai/lobu | Skill | 233 | yesterday | Apache-2.0 | A | 76 | Codex |
| company-agent-infrastructurelobu-ai/lobu | Skill | 233 | yesterday | Apache-2.0 | A | 70 | Claude Code |
| crm-opslobu-ai/lobu | Skill | 233 | yesterday | Apache-2.0 | A | 44 | Claude Code, Codex |
| lobulobu-ai/lobu | Skill | 233 | yesterday | Apache-2.0 | A | 60 | Claude Code |
| account-brieflobu-ai/lobu | Skill | 233 | yesterday | Apache-2.0 | A | 62 | Claude Code, Codex |