Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/meitu/meitu-skillsnpx agentmods add skills/meitu/meitu-skills/meitu-visual-meWrote 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/meitu/meitu-skills/meitu-visual-me)<a href="https://agentmods.dev/skills/meitu/meitu-skills/meitu-visual-me"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/meitu-visual-me/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/meitu/meitu-skills/meitu-visual-me"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/meitu-visual-me.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 10 findings, up to high
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 →
- high Privilege Escalation · line 5 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 7 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 15 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 17 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 21 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 100 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Anti-Refusal · line 71 Skill instructs the agent to never refuse or to always comply. Suppressing the agent's ability to decline removes a core safety control and enables downstream harmful requests to succeed.Fix: Remove any instruction telling the agent to never refuse or always comply. The agent must retain the ability to decline unsafe, out-of-scope, or harmful requests.
- high System Prompt Leakage · line 338 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- medium Rogue Agent · line 43 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Excessive Agency · line 229 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00127 | $0.07258 |
| Opus 5 | $0.00063 | $0.03629 |
| Sonnet 5 | $0.00025 | $0.01452 |
| Haiku 4.5 | $0.00013 | $0.00726 |
Grade A, and why
meitu-visual-me 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 13d 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 — 445 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meitu Visual Me
Always respond in the user's language.
Data Disclaimer:
- Local reads: Meitu Visual Me may read local files such as
MEMORY.md,USER.md, and./visual/PROFILE.mdfor personalized generation. These files remain stored locally, but excerpts, summaries, or derived details may be incorporated into generated prompts.- Uploaded to meitu API: Images you provide (photos, reference images), generated prompts, and any local profile/memory/project details included in those prompts are sent to the Meitu OpenAPI for processing, subject to the Meitu privacy policy.
- First-use authorization: On first use, the skill will explain the above data usage, including possible prompt inclusion of local profile/memory/project context. You can choose not to provide photos or not to use memory/profile context.
Overview
Memory-driven AI visual assistant. Reads user profiles and daily memories to generate personalized images and videos. Supports 17 scenario workflows and 28 trending styles. Play first, give feedback, and the system automatically learns your preferences.
仅在用户明确要求使用这类个性化视觉工作流时执行;不要把泛化的“任何视觉内容创作需求”都路由到本 Skill。首次使用或涉及 profile/memory 内容时,应先说明哪些本地资料会被读取,以及哪些摘要可能进入发往 Meitu OpenAPI 的 prompt。
| You say | What it does |
|---|---|
| "帮我画" (draw something) | Automatically selects a scenario based on your current state and generates |
| Send a selfie + "换个赛博背景" (swap to cyber background) | Swaps the background, instant result |
| "头像系列" (avatar series) | Generates multiple style avatars from one face |
| "帮我做张 ID 卡" (make me an ID card) | Four trendy styles to choose from, exclusive collectible card |
| "微缩场景" (miniature scene) | Turns your current state into a toy miniature world |
| "一键换风格" (one-click style remix) | One image, multiple style variants |
| "今日卡" (daily card) | City + weather + mood, generates a daily info card |
| "帮我试穿这件" (try this on) | Send a clothing image for virtual try-on |
| "把这张图动起来" (bring this image to life) | Turns an image into a short video |
| "合个影" (take a photo together) | A photo with you and OpenClaw together |
What ships with it
9 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.
- references/channel-presets.md 2.7 KB
- references/feedback-loop.md 2.8 KB
- references/first-time-guide.md 3.1 KB
- references/memory-protocol.md 3.7 KB
- references/models.md 20 KB
- references/setup.md 3.0 KB
- references/style-library.md 12 KB
- references/troubleshooting.md 3.3 KB
- references/workflows.md 22 KB
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.
- 13d ago First seen · 445 lines · 127 tokens per session scan A b3ce2a054b1e
meitu-visual-me is a skill published in the GitHub repository meitu/meitu-skills (32 stars, last pushed 15d ago), licensed MIT. It adds 127 tokens to every session and 7,258 once invoked, about $0.0006 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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