Synapse Wiki
v2.0.1Synapse Wiki — 智能知识库管理系统。 自动摄取原始资料，增量构建持久化知识网络，支持智能查询和健康检查。 知识随时间复利积累，越用越聪明。 当用户提到 wiki、知识库、摄取资料、查询知识、整理文档时使用此技能。
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (Synapse Wiki) align with the included files and behavior: scaffold/ingest/query/lint scripts, shell wrappers, tests, and documentation. Required binaries are limited to python3, which is appropriate.
Instruction Scope
SKILL.md and the command scripts only read and write files inside the user-specified wiki root and the skill install location. Ingest enforces a path check so source files must be inside the wiki root. There are no instructions to read unrelated system files, environment secrets, or to send data to external endpoints.
Install Mechanism
There is no remote download/install of third-party code; install.sh copies the skill into $HOME/.claude/skills and creates a config.json from a template. This is a local file operation (expected) but it will overwrite an existing installation when run without --dry-run; review the script before running and consider using --dry-run first.
Credentials
The skill requests no environment variables or credentials. Scripts operate on filesystem paths provided by the user and do not access network credentials, cloud keys, or unrelated environment data.
Persistence & Privilege
always:false and user-invocable:true (normal). The skill can be invoked autonomously by the model (disable-model-invocation:false), which is the platform default. The SKILL.md also documents optional integration with a 'synapse-brain' orchestrator — this is an architectural integration, not a credentials/privilege request. Consider that autonomous invocation combined with local write access means the agent could run ingest/lint/query actions on user-provided wiki roots if triggered.
Assessment
This skill appears to do what it says: local file-based wiki scaffolding, ingestion, query synthesis, and linting using Python scripts. Before installing: 1) Inspect install.sh and run it with --dry-run to avoid accidental overwrites; back up ~/.claude/skills if present. 2) Only point the tool at directories you intend to manage (don't set wiki_root to system or sensitive directories). Ingested files and generated outputs live under the wiki root and will be read by the LLM during queries — avoid ingesting secrets or confidential files. 3) If you don't want the agent to autonomously run ingest/lint on session start, keep model-driven invocation disabled in agent settings or avoid enabling Brain scheduling. 4) If you expect remote integrations, review or add explicit network/credential handling (none is present here). Overall the package is internally consistent and local-only; treat it like any third-party script and run it in a controlled environment first.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🧠 Clawdis
Binspython3