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 meitu/meitu-skills --skill image-denoise-enhancegit clone --depth 1 https://github.com/meitu/meitu-skillsWrote 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/image-denoise-enhance)<a href="https://agentmods.dev/skills/meitu/meitu-skills/image-denoise-enhance"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/image-denoise-enhance/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/image-denoise-enhance"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/image-denoise-enhance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 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 13 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 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.
- medium Rogue Agent · line 25 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.
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 | $0.00070 | $0.01408 |
| Opus 5 | $0.00035 | $0.00704 |
| Sonnet 5 | $0.00014 | $0.00282 |
| Haiku 4.5 | $0.00007 | $0.00141 |
Grade A, and why
image-denoise-enhance 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 11d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
图片去噪（image-denoise-enhance）
Overview
去除图片颗粒感/噪点/杂色，保留图像细节同时降噪。覆盖高感光拍摄降噪、暗光拍摄噪点消除、老照片杂色修复、手机夜拍噪点处理、压缩产生的色块/伪影修复。仅需 image_url，不需要 prompt。
执行前应让用户清楚知道：本 Skill 会读取 Meitu 凭证、调用本地 meitu CLI、将用户提供的图片 URL 发送到 Meitu OpenAPI 处理，并把结果写入 ./output/ 或 $VISUAL/output/image-denoise-enhance/。
API Mapping
- 图片去噪：
image_denoise_enhance
Dependencies
- meitu-cli:
>=2.0.6（npm install -g meitu-cli@latest） - 凭证：CONFIG AKSK →
meitu tools update；EXEC AKSK → 实际执行（见根CONFIG.md） - 环境变量：
MEITU_OPENAPI_TOOL_TASK_MODE=command
路径别名：
$VISUAL={OPENCLAW_HOME}/workspace/visual/
Core Workflow
Preflight → Execute → Deliver
Preflight
meitu --version≥ 2.0.6（否则npm install -g meitu-cli@latest）- 确认已跑过
meitu tools update（用 CONFIG AKSK） - 当前 AKSK = EXEC，且
MEITU_OPENAPI_TOOL_TASK_MODE=command - 解析 output_dir：openclaw.yaml →
./output/｜else →$VISUAL/output/image-denoise-enhance/；mkdir -p
Execute
触发信号 / 路由规则
| 场景 | 判定关键词 | 路由 |
|---|---|---|
| 噪点 / 颗粒 / 杂色 | 去噪、噪点、颗粒、杂色、画面脏、ISO 高 | image_denoise_enhance |
决策顺序：
image_url缺失 → 追问- 唯一路由：调用
image_denoise_enhance
单 API 工具：参数齐全即调用，失败重试 1 次后返回错误；不做跨工具兜底。图片无明显噪点仍正常调用，效果可能不明显。
参数定义
| 参数 | 类型 | 必填 | 范围 | 默认值 | 说明 |
|---|---|---|---|---|---|
image_url |
STRING | 是 | -- | -- | 图片地址。缺失 → 提示"请提供需要去噪的图片" |
工具调用
meitu image-denoise-enhance \
--skill_name skill_image-denoise-enhance \
--image_url <image_url> \
--json \
--download-dir {output_dir}
错误降级
| 场景 | 处理方式 |
|---|---|
image_url 缺失 |
提示"请提供需要去噪的图片" |
image_url 不可访问 |
直接返回图片链接无效错误，不重试 |
| 图片无明显噪点 | 正常调用，效果可能不明显，告知用户 |
image_denoise_enhance 调用失败 |
重试 1 次，仍失败返回错误 |
| 内容合规拦截 | 直接返回合规提示，不重试 |
| 视频输入 | 拒绝，仅支持图片 |
Deliver
- 直接使用 Preflight 解析的 output_dir
- 从
downloaded_files[0].saved_path读取已下载文件路径 mv {downloaded_files[0].saved_path} {output_dir}/{YYYY-MM-DD}_{descriptive}_image-denoise-enhance.jpg
Output
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.
- 11d ago First seen · 124 lines · 70 tokens per session scan A a2e8493efd22
image-denoise-enhance is a skill published in the GitHub repository meitu/meitu-skills (32 stars, last pushed 14d ago), licensed MIT. It adds 70 tokens to every session and 1,408 once invoked, about $0.0003 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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