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decision-log
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mupengi-bot
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· v1.0.1
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在 OpenClaw 中安装
/install decision-log
功能描述
Decision recording + result tracking skill
使用说明 (SKILL.md)
decision-log
Skill for recording important decisions and automatically tracking results after 30 days.
Features
- Record decision content, rationale, alternatives, expected results
- Auto-review results after 30 days (cron integration)
- File save:
memory/decisions/YYYY-MM-DD-{slug}.md
Usage
Trigger keywords:
- "record decision"
- "decision log"
- "made this decision"
- "why did I do this"
Example:
Record decision: Decided to separate Instagram bot account
Rationale: Distribute main account ban risk
Alternatives: Use main account, manual operation
Expected results: Increased safety, increased management complexity
Output Format
# Decision: {title}
**Date**: YYYY-MM-DD
**Status**: Decided / Review Pending / Results Confirmed
## Decision Content
...
## Rationale
- ...
- ...
## Alternatives Considered
1. **Alternative 1**: ...
- Pros: ...
- Cons: ...
2. **Alternative 2**: ...
## Expected Results
- Positive: ...
- Negative: ...
## Actual Results (Auto-update after 30 days)
_Review date: YYYY-MM-DD_
---
**Decision date**: YYYY-MM-DD | **Review date**: YYYY-MM-DD (scheduled)
Auto-review (cron)
After 30 days, automatically:
- Compare expected vs actual results
- Extract lessons learned
- Generate insights for similar future decisions
Event Bus Integration
Publish event when recording decision:
- Path:
events/decision-YYYY-MM-DD.json - Format:
{
"type": "decision-logged",
"timestamp": "2026-02-14T12:00:00Z",
"title": "Decision title",
"reviewDate": "2026-03-16",
"filePath": "memory/decisions/2026-02-14-slug.md"
}
decision-log | 무펭이 🐧
安全使用建议
This skill appears to do what it says: record decisions to memory/decisions/ and publish small event JSON files to events/. Before installing, consider: (1) the decision contents may be sensitive — confirm where memory/ and events/ are stored and who can read them; (2) determine whether the agent's event bus actually transmits events externally (check endpoints, retention, and encryption); (3) if you don't want automatic future reads/reviews, disable or avoid the cron/auto-review functionality; and (4) test with non-sensitive sample decisions first to confirm behavior and file permissions.
功能分析
Type: OpenClaw Skill
Name: decision-log
Version: 1.0.1
The OpenClaw skill 'decision-log' appears benign. Its purpose is to record decisions, track their results, and schedule reviews, which involves saving markdown and JSON files to designated `memory/` and `events/` directories. The mention of 'cron integration' is for the skill's internal auto-review mechanism and is presented as a feature, not a malicious command. There is no evidence of data exfiltration, unauthorized execution, persistence mechanisms, obfuscation, or prompt injection attempts in the provided `SKILL.md` or `_meta.json` files.
能力评估
Purpose & Capability
Name and description (decision recording + 30-day review) match the SKILL.md: it writes decision markdown files under memory/decisions/ and schedules an auto-review. No unrelated binaries, env vars, or external credentials are requested.
Instruction Scope
Instructions are focused on creating decision files and publishing a small event JSON to events/*.json and scheduling a 30-day review. They do not instruct reading arbitrary system files or pulling other environment variables. Note: the skill assumes the agent can write to memory/ and events/ and that a cron/event mechanism exists — confirm where events are published and who can read them, since recorded decisions may be sensitive.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is written to disk by an installer; runtime behavior depends on the agent's existing capabilities.
Credentials
The skill requests no environment variables, credentials, or config paths. Its required access (writing to memory/ and events/) is proportional to the described functionality.
Persistence & Privilege
always: false (normal). The skill intends persistent behavior via scheduled auto-review (cron) and by writing files/events, which requires the agent to retain and later read those records. This is expected for the feature but means data will persist and be revisited automatically — verify retention and access control for memory/ and events/.
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 decision-log - 安装完成后，直接呼叫该 Skill 的名称或使用
/decision-log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
v1.0.1
Docs update
v1.0.0
decision-log 1.0.0
- Initial release of the decision-log skill.
- Record decisions and their rationales, alternatives, and expected results in structured Markdown files.
- Automatically reviews and tracks actual results after 30 days using cron integration.
- Publishes decision events to the event bus for system-wide tracking.
- Supports keyword triggers for easy decision entry.
元数据
常见问题
decision-log 是什么？
Decision recording + result tracking skill. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 900 次。
如何安装 decision-log？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install decision-log」即可一键安装，无需额外配置。
decision-log 是免费的吗？
是的，decision-log 完全免费（开源免费），可自由下载、安装和使用。
decision-log 支持哪些平台？
decision-log 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 decision-log？
由 mupengi-bot（@mupengi-bot）开发并维护，当前版本 v1.0.1。
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