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-text-replacegit 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-text-replace)<a href="https://agentmods.dev/skills/meitu/meitu-skills/image-text-replace"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/image-text-replace/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-text-replace"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/image-text-replace.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 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 9 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 11 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.
- medium Rogue Agent · line 21 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 | $0.00086 | $0.01643 |
| Opus 5 | $0.00043 | $0.00822 |
| Sonnet 5 | $0.00017 | $0.00329 |
| Haiku 4.5 | $0.00009 | $0.00164 |
Grade A, and why
image-text-replace 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 9d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Text Replace
Overview
对已有图片做文字内容替换：简单精准改字（标准印刷体/单处/≤6 字符/字符数不变四条件全满足）与复杂改字（花字/手写体/风格化/多处/字符数变化）。
API Mapping
- 简单精准改字：简单改字路径。
- 复杂改字：优先
praline_pro，失败依次降级为praline_lite、mint_edit。
Dependencies
- meitu-cli:
>=2.0.6 - 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：
$VISUAL={OPENCLAW_HOME}/workspace/visual/
Core Workflow
Preflight → Execute → Deliver
Preflight
meitu --version≥ 2.0.6- 已用 CONFIG AKSK 跑过
meitu tools update - 当前 AKSK = EXEC，
MEITU_OPENAPI_TOOL_TASK_MODE=command - output_dir：openclaw.yaml →
./output/｜else →$VISUAL/output/image-text-replace/；mkdir -p
Execute
触发信号 / 路由规则
核心维度：四条件判断（必须同时满足）：
- 字体类型：标准印刷体（宋体/黑体/楷体/圆体/衬线体/无衬线体/等宽字体）
- 修改位置：只修改一处文字
- 字符长度：修改的文字字符数 ≤ 6
- 字符数恒等：原文字符数 = 修改后字符数
| 场景 | 判定 | 路由 |
|---|---|---|
| 四条件全满足 | 标准印刷体 + 单处 + ≤6 字符 + 字符数不变 | 简单改字路径 → praline_pro → praline_lite → mint_edit |
| 花字 / 手写 / 风格化 | 花体字、手写、风格化 | praline_pro → praline_lite → mint_edit |
| 多处修改 | 改多个地方 | praline_pro → praline_lite → mint_edit |
| 字符数 >6 或 字符数变化 | 长文本 / 3 字→5 字 | praline_pro → praline_lite → mint_edit |
参数定义
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
image_url |
STRING | 是 | 图片地址。缺失 → 提示"请提供需要改字的图片" |
source_words |
STRING | 条件必填 | 原文字内容。简单改字必填；复杂改字可从 prompt 自动提取 |
target_words |
STRING | 条件必填 | 目标文字内容。简单改字必填 |
prompt |
STRING | 否 | 改字描述；复杂改字时根据 source_words / target_words 自动生成英文改字指令 |
简单改字路径直接传 image_url、source_words 和 target_words；复杂改字使用 praline_pro、praline_lite 或 mint_edit，并根据 source_words/target_words 构造英文改字指令。
目标文字含中文时，prompt 中目标文字保持原样、不做翻译。
工具调用
meitu image-text-replace --image_url <url> --source_words "<原文>" --target_words "<新文>" --json --download-dir {output_dir} --skill_name skill_image-text-replace
错误降级
| 场景 | 处理方式 |
|---|---|
image_url 缺失 |
提示"请提供需要改字的图片" |
image_url 不可访问 |
直接返回图片链接无效错误，不重试 |
source_words / target_words 缺失 |
提示"请告诉我要把哪个文字改成什么" |
source_words 在图片中找不到 |
返回原图，告知未找到匹配文字 |
| 字符数改变 / 花字 / 多处 | 不走简单改字，直接使用 praline_pro |
| 简单改字路径调用失败 | 自动升级至 praline_pro |
praline_pro 调用失败 |
自动降级至 praline_lite |
praline_lite 调用失败 |
自动降级至 mint_edit |
mint_edit 调用失败 |
返回错误 |
| 用户一次要改多张图 | 提示每次处理一张 |
| 用户未提供字体信息 | 按标准印刷体判断，先试简单 API；失败自动升级 |
| 内容合规拦截 | 直接返回合规提示，不重试、不降级 |
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.
- 9d ago First seen · 130 lines · 86 tokens per session scan A dccf5fa775a0
image-text-replace is a skill published in the GitHub repository meitu/meitu-skills (32 stars, last pushed 11d ago), licensed MIT. It adds 86 tokens to every session and 1,643 once invoked, about $0.0004 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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