[bug] bl skill add installs paths exceeding Windows MAX_PATH (259 chars), breaking the host agent's entire skill library
Ninguém assumiu esta issue ainda.
Avaliação
- Dificuldade
- 3/5
- Tempo estimado
- 1-2 dias
- Facilidade para iniciantes
- 65/100
- Tipo de issue
- Bug
- Clareza
- Claramente especificada
- Status de atividade
- Ativa
- Stack de tecnologia
- node.js, typescript
Direção de pesquisa
The issue is in the skill installation path generation logic, likely in the code that handles the bailian-docs-llm-wiki skill's raw doc tree. Look at the bl skill add command implementation and the skill packaging/unpacking process. Focus on Windows path length checks and the concatenation of parent and child slugs. Test by installing the skill and verifying the generated directory paths against MAX_PATH. The fix should ensure paths stay under 260 characters, possibly by truncating/hashing long slugs or using the \\?\ prefix.
Escrita pelo modelo de indexação a partir do texto da issue.
Descrição
Environment
- CLI: bl 2.0.1
- Skill: bailian-docs-llm-wiki (registry
publishedAt: 2026-09-23T04:37:22+08:00) - Node: v24.14.1
- OS: Windows 11 (NTFS), no long-path opt-in (
LongPathsEnablednot set) - Region: cn (cn-beijing)
Reproduce
# 1) install (or let any `bl` command auto-sync the skill family)
bl skill add --name bailian-docs-llm-wiki
# 2) from the host agent that owns <agent-skills-dir>, walk the installed tree
python -c "import os; os.listdir(r'C:\Users\<user>\.hermes\skills\bailian-docs-llm-wiki\raw\application-user-guide\application-gallery\official-application-lingque-ccai-dialogue-analysis-aio\api-reference-2\api-contactcenterai-2024-06-03-dir\api-contactcenterai-2024-06-03-dir-hot-word-management')"
Expected
bl skill add installs bailian-docs-llm-wiki into the detected agent skill directories; the host agent can enumerate / load them normally.
Actual
The installed tree contains directories whose full path is 259 characters long (Windows MAX_PATH = 260, and the install does not use a \\?\ prefix). os.path.exists() on the directory itself returns True, but any child entry exceeds the limit, so traversal raises:
FileNotFoundError: [WinError 3] 系统找不到指定的路径。: 'C:\Users\<user>\.hermes\skills\bailian-docs-llm-wiki\raw\application-user-guide\application-gallery\official-application-lingque-ccai-dialogue-analysis-aio\api-reference-2\api-contactcenterai-2024-06-03-dir\api-contactcenterai-2024-06-03-dir-hot-word-management'
Impact: the host agent's skill loader walks its skills directory on every skill operation (list / view / manage). One over-long path therefore takes down the entire skill library — not just this skill — until bailian-docs-llm-wiki is removed. Measured on this machine: 35 MB / 2,776 files; the deepest directory name is generated by concatenating the parent slug (api-contactcenterai-2024-06-03-dir- + hot-word-management).
Deterministic: reproduced on repeated installs; bl skill remove --name bailian-docs-llm-wiki (removed 59 symlinks) restores the host agent immediately.
Suggested fix
- Cap the generated segment length / total depth for the
raw/doc tree ofbailian-docs-llm-wiki(e.g. truncate and hash long slugs instead of concatenating parent+child slugs), or - Flatten deeply nested doc dirs when packaging the skill, or
- Create files with the
\\?\long-path prefix (and/or warn) on Windows, or - Skip / slim this doc-heavy skill by default on Windows.
Already tried
bl skill update/bl skill list— same install shape (auto-sync on an ordinarybl auth statusre-installed it)bl skill remove --name bailian-docs-llm-wiki→ problem disappears
Notes
- Frequency: always (deterministic on Windows)
- Invoked via: terminal + agent (Hermes Agent on Windows 11)
- Nothing else in the bailian-* family triggers this: only
bailian-docs-llm-wikireaches the 260 boundary
- Linguagem predominante
- TypeScript
- Estrelas
- 333
- Forks
- 28
- Merge médio
- 1d 8h
- PRs com merge (30d)
- 38
Guia de contribuição
Primeiros passos
- Leia a issue inteira e depois o guia de contribuição do projeto.
- Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
- Faça um fork do repositório e trabalhe em uma branch.
- Abra um pull request que referencie o número da issue.
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