ime-lexicon skillA
ime-lexicon is agent-read markdown (skill) from taxueseek/ime-lexicon: 豆包 / 微信输入法个人词库：识别、导出、导入、备份；纠错优化； 搜索并生成行业/专业/定制词库（并入归档 industry-dict）。 不走官方导入页。搜索优先 argo，没有就走通用搜索兜底。本技能只出查询、抽词、改表、写回副本。 生态定位：直接操作豆包 / 微信输入法词库文件层（usr.dat / WeType LevelDB）的 agent skill， 文件层识别、批量导出、槽位感知注入、整表替换消错、行业词库造词后直接 apply； 格式互转工具和语音输入插件都不做词库管理。 触发：个人词库、词库导出、词库导入、反向注入、行业词库、专业词库、定制词库、 生成行业词库、做词库、行业术语、industry-dict、拼写纠正、豆包词库、 微信输入法词库、WeType、usr.dat、ime-lexicon、/ime-lexicon.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# ime-lexicon 主技能管合同和写回。归档的 `industry-dict` 整块在 build 子技能里，不单独恢复顶层。 | 干什么 | 读哪个 | | --- | --- | | 搜行业术语、造行业/专业/定制词库 | `sub-skills/build/SKILL.md`（原 industry-dict） | | 合并、明显拼写/拼音更正、剔噪声 | `sub-skills/optimize/SKILL.md` | | 素材库 ↔ 创作词库 ↔ 画像 | `sub-skills/bridge/SKILL.md` | | 导入导出、备份、apply | 本文件 | 不要再写一套爬虫。有 argo 技能/CLI 就用 argo；没有就用宿主通用搜索（web_search / ddgs）。不要把 industry-dict 拆成第三个顶层技能。 ## 命令 脚本：`$HOME/.agents/skills/ime-lexicon/scripts/ime_lexicon.py` ```bash python3 .../ime_lexicon.py detect python3 .../ime_lexicon.py export --engine all python3 .../ime_lexicon.py backup python3 .../ime_lexicon.py search --topic 锂电池 python3 .../ime_lexicon.py search --topic 锂电池 --run --out /tmp/术语.txt python3 .../ime_lexicon.py search --topic 锂电池 --engine generic --run python3 .../ime_lexicon.py build --topic 锂电池 --from /tmp/术语.txt --term 材料:磷酸铁锂 python3 .../ime_lexicon.py build --topic 投资理财 --seed thuocl:财经 --out 行业词库_投资理财.tsv python3 .../ime_lexicon.py optimize --from a.tsv --from b.tsv --profile personal --out DIR python3 .../ime_lexicon.py optimize --from 行业.tsv --profile industry --budget <剩余槽> --out DIR python3 .../ime_lexicon.py harvest python3 .../ime_lexicon.py harvest --speech …
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How to install
mdr add taxueseek/ime-lexicon/ime-lexicon@git:20260920.49a915fmdr add taxueseek/ime-lexicon/ime-lexicon@sha256:d17d7798fad5aca5Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_56ylpqsruwz4fjnt)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260920.49a915f latest | 2026-09-20 | 49a915f | 6,065 B | A | view · diff |
| git:20260825.99e298f | 2026-08-25 | 99e298f | 4,908 B | A | view · diff |
| git:20260825.cca86d0 | 2026-08-25 | cca86d0 | 4,909 B | A | view · diff |
| git:20260824.48ffb4a | 2026-08-24 | 48ffb4a | 4,941 B | A | view · diff |
| git:20260822.a9f9084 | 2026-08-22 | a9f9084 | 4,727 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6065 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
taxueseek/ime-lexicon · 5 stars · license MIT · pushed 2026-09-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_56ylpqsruwz4fjnt GET https://markdownregistry.com/api/v1/resolve?ref=taxueseek/ime-lexicon/ime-lexicon GET https://markdownregistry.com/api/v1/blob/d17d7798fad5aca54771ff0ef5b96309fb325a76eb2da58f9b6562f1727ed9b8
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.