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在 OpenClaw 中安装
/install sage-decision-journal
功能描述
A decision capture and review system that records every significant choice — with context, reasoning, and alternatives — so you can detect your own blind spo...
安全使用建议
Before installing, confirm how and where captured decision records will be stored, who can access them, and how long they are retained. Ask the author: (1) Where are logs/records persisted (local agent memory, local disk, third-party service)? (2) If external storage is used, what endpoints and what credentials are required? (3) Is recording truly opt-in per conversation or per user, and can automatic capture be disabled? (4) Are there controls to review, export, and permanently delete stored decision records? (5) What data-minimization and access controls are implemented for inferred 'WHY' and contextual fields? If the author cannot provide clear answers, treat the skill as high-risk for privacy/exfiltration and prefer an on-demand workflow (manual capture only) or require encryption and explicit, auditable storage under your control.
功能分析
Type: OpenClaw Skill
Name: sage-decision-journal
Version: 0.1.0
The skill bundle contains instructions for an AI agent to function as a decision-tracking journal, capturing and analyzing user choices to identify cognitive patterns and biases. It lacks executable code, network-exfiltration logic, or malicious prompt injections, and its behavior is entirely consistent with its stated purpose of personal growth and retrospective learning. The skill relies on the 'sage-cognitive' dependency for behavioral profiling as described in SKILL.md.
能力评估
Purpose & Capability
Name and description (decision capture/review) align with capturing and analyzing decisions. The declared dependency on 'sage-cognitive' is coherent (it uses identity/behavioral profile). However, the skill explicitly says it "runs silently alongside sage-cognitive" and listens to every conversation — that's broader than a simple on-demand journal and expands the scope of data collection beyond what some users would reasonably expect.
Instruction Scope
SKILL.md directs the agent to detect both explicit and implicit decisions across every conversation, infer unstated reasons, and store structured records. It does not specify storage location, retention policy, access controls, or allowed destinations for recorded data. That combination (automatic always-on capture + inference of private context + unspecified storage/transmission) creates a significant privacy and scope creep risk.
Install Mechanism
No install spec or code files are present (instruction-only), so there is no on-disk installer or third-party binary being fetched. That reduces supply-chain/code-execution risk, but being instruction-only also means behavior depends entirely on the host agent's implementation and the agent's memory/storage/config — which is not constrained by the skill.
Credentials
The skill declares no required environment variables or credentials, which superficially lowers credential risk. However, because it instructs automatic recording and later analysis, the absence of a declared storage destination or required credentials is notable: either the skill expects to persist data in the agent's memory (potentially exported elsewhere) or omits necessary details. The lack of explicit storage and access controls is disproportionate to the sensitivity of inferred context and makes data leakage possible.
Persistence & Privilege
The skill is not marked 'always:true', but SKILL.md says it "runs silently" and "you don't need to invoke it explicitly — it listens for decision signals in every conversation." That instructs autonomous, persistent monitoring behavior. Autonomous invocation combined with broad data capture (see instruction_scope) raises the blast radius for sensitive data collection even though the registry flags don't force always-on.
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 sage-decision-journal - 安装完成后，直接呼叫该 Skill 的名称或使用
/sage-decision-journal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
v0.1.0
Initial release — capture, review, and pattern analysis for decision-making.
- Automatically records explicit and implicit decisions with key context, reasoning, alternatives, and confidence.
- Classifies decisions by domain (Technical, People, Strategic, Communication), reversibility (one-way/two-way), and decision mode.
- Surfaces decision patterns and potential cognitive biases over time to increase self-awareness.
- Provides structured weekly, monthly, and quarterly reviews to aid learning and detect blind spots.
- Integrates with sage-cognitive for personalized profile building and feedback.
元数据
常见问题
Sage Decision Journal 是什么？
A decision capture and review system that records every significant choice — with context, reasoning, and alternatives — so you can detect your own blind spo... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 682 次。
如何安装 Sage Decision Journal？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install sage-decision-journal」即可一键安装，无需额外配置。
Sage Decision Journal 是免费的吗？
是的，Sage Decision Journal 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Sage Decision Journal 支持哪些平台？
Sage Decision Journal 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 Sage Decision Journal？
由 EvanL1（@evanl1）开发并维护，当前版本 v0.1.0。
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