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Synapse Layer
作者
Rafa Martins
· GitHub ↗
· v1.0.0
· MIT-0
59
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install synapse-layer
功能描述
Provides persistent, encrypted AI agent memory with a 4-layer security pipeline for storing, retrieving, sharing, and analyzing agent memories.
安全使用建议
Key issues to consider before installing:
- Credentials mismatch: the package requires an API key (examples and test script), but the registry declares none. Do not provide an API key until the skill's expected secret name and storage method are confirmed.
- False security claims: the docs promise client-side encryption and AES/PBKDF2 processing, but the included SynapseClient sends plaintext JSON to the remote endpoint with only an Authorization header. Ask the publisher to show where client-side encryption is performed (code, libs, or steps). If client-side encryption is not performed, the 'zero-knowledge' claim is inaccurate and you should not send sensitive PII or secrets to this service.
- Secret handling: the test script prints part of the API key to stdout and the docs recommend putting the API key in gateway config. That can leak keys into logs/backups. If you must test, use a non-production key, rotate it after testing, and avoid running tests on production systems.
- Audit network endpoint: the client talks to https://forge.synapselayer.org/mcp. Verify ownership/trustworthiness of that host before sending production data. Prefer deploying the code in an isolated environment first and monitor outgoing requests.
- Clarify the pip package: SKILL.md suggests 'pip install synapse-layer' but the skill bundle provides scripts only. Confirm whether there is an official package and whether the shipped code matches it.
Recommended next steps: ask the publisher for (1) proof/source of client-side encryption (or a build that performs it), (2) the exact environment variable/credential names the skill requires, (3) retention/processing policy for data sent to forge.synapselayer.org, and (4) updated code that avoids printing secrets. Until these are provided, treat the skill as untrusted for sensitive data and prefer local or audited alternatives.
功能分析
Type: OpenClaw Skill
Name: synapse-layer
Version: 1.0.0
The synapse-layer skill bundle provides a legitimate integration for a persistent memory service. The Python client (scripts/synapse_client.py) and test script (scripts/synapse_test.py) are well-structured and strictly perform API calls to the documented endpoint (forge.synapselayer.org) to store and retrieve agent memories. There is no evidence of malicious intent, data exfiltration of local sensitive files, or harmful prompt injection in the documentation or instructions.
能力标签
能力评估
Purpose & Capability
The skill's stated purpose (persistent encrypted memory, cross-agent search, Trust Quotient) aligns with the provided client and MCP endpoints (forge.synapselayer.org). However the registry metadata declares no required credentials while the code and docs clearly expect an API key; this mismatch is unexplained.
Instruction Scope
SKILL.md and scripts instruct the agent to send arbitrary memory content to https://forge.synapselayer.org/mcp and to place an API key in gateway config. The test script requires SYNAPSE_API_KEY and even prints a prefix of it to stdout — exposing sensitive credentials to logs. The documentation also asserts 'zero-knowledge' and client-side encryption, but the included SynapseClient code sends plaintext content in POST bodies with no local encryption, PBKDF2, or AES operations; that is a direct contradiction.
Install Mechanism
There is no install spec in the registry (instruction-only), but SKILL.md suggests 'pip install synapse-layer' while the package is not provided in the skill bundle. The included Python scripts are plain and import httpx; nothing is downloaded from untrusted URLs. Lack of an install spec is low risk, but the mismatch between advising a pip package and shipping local scripts is inconsistent and should be clarified.
Credentials
Registry metadata lists no required environment variables or primary credential, yet scripts and docs require an API key (examples use 'sk_connect_...' and synapse_test.py reads SYNAPSE_API_KEY). The skill would thus need a secret but fails to declare it. Additionally, the skill recommends adding Authorization headers to gateway config (storing an API key in system config) and the test script prints part of the API key to stdout — both are sensitive practices that increase credential exposure.
Persistence & Privilege
The skill does not request elevated platform privileges. always is false and it does not modify other skills' configs. There is no indication it persists beyond its own files or self-configures the agent platform.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install synapse-layer - 安装完成后,直接呼叫该 Skill 的名称或使用
/synapse-layer触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: Python SDK for Synapse Layer persistent memory infrastructure with 4-layer Cognitive Security Pipeline (PII redaction, AES-256-GCM encryption, intent validation, differential privacy). Includes complete documentation, API reference, security details, framework integrations, and test scripts.
元数据
常见问题
Synapse Layer 是什么?
Provides persistent, encrypted AI agent memory with a 4-layer security pipeline for storing, retrieving, sharing, and analyzing agent memories. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 59 次。
如何安装 Synapse Layer?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install synapse-layer」即可一键安装,无需额外配置。
Synapse Layer 是免费的吗?
是的,Synapse Layer 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Synapse Layer 支持哪些平台?
Synapse Layer 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Synapse Layer?
由 Rafa Martins(@rafacpti23)开发并维护,当前版本 v1.0.0。
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