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Self-Improving Supply Chain
作者
José I. O.
· GitHub ↗
· v1.2.0
· MIT-0
106
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install self-improving-supply-chain
功能描述
Captures forecast errors, supplier risks, logistics delays, inventory mismatches, quality deviations, and demand signal shifts to enable continuous supply ch...
安全使用建议
This skill appears internally consistent, but review a few practical points before installing: (1) Confirm you are comfortable having a lightweight reminder and local log files (.learnings/) added to your workspace/home — the scripts will create files if missing. (2) The error-detector reads CLAUDE_TOOL_OUTPUT (hook context) which can contain command output; avoid enabling PostToolUse hooks in contexts where sensitive data might appear, or add matcher filters to limit triggers. (3) The extract script writes scaffolds into a relative ./skills directory — run it from a safe working directory and inspect what it would create (use --dry-run). (4) Hooks run with your agent's permissions; enable them only if you want reminders injected into sessions (you can enable at project-level with matcher filters to reduce scope). Finally, if you have any proprietary supplier/customer data, follow the skill guidance to redact or aggregate before logging to .learnings/.
功能分析
Type: OpenClaw Skill
Name: self-improving-supply-chain
Version: 1.2.0
The skill bundle is a documentation framework designed to help an AI agent track and analyze supply chain disruptions. It uses standard shell scripts (scripts/activator.sh, scripts/extract-skill.sh) and OpenClaw hooks (hooks/openclaw/handler.js) to initialize a local storage directory (.learnings/) and provide contextual reminders to the agent. The logic is transparent, lacks obfuscation, and explicitly instructs the agent to avoid logging sensitive proprietary or customer data, showing no signs of malicious intent or data exfiltration.
能力标签
能力评估
Purpose & Capability
The skill's name/description align with its code and docs: reminders, local logs (.learnings/), a skill-extraction helper, and optional OpenClaw hooks. No unrelated credentials, external network calls, or unexpected binaries are requested. The extract script creates local skill scaffolds and includes safeguards (no absolute paths, no '..' segments).
Instruction Scope
SKILL.md and hook scripts limit behavior to generating reminders, creating/initializing .learnings/ files, and scaffolding local skill markdown. The error-detector reads the CLAUDE_TOOL_OUTPUT hook context (documented) to detect supply‑chain keywords and only prints a reminder; it does not transmit output externally. SKILL.md explicitly warns not to log proprietary pricing/PII and states the skill does not place orders.
Install Mechanism
No installer or external downloads are used. This is an instruction+script bundle intended to be copied into the user's OpenClaw workspace/hooks. All scripts are local shell/JS/TS files; no archives or network fetches are performed by the skill itself.
Credentials
The skill declares no required environment variables or credentials. The only environment usage is the error-detector reading CLAUDE_TOOL_OUTPUT (an expected hook-provided variable) and scripts operating on local workspace paths — proportional to the stated purpose.
Persistence & Privilege
always is false and hooks are opt-in. Hook files inject a virtual reminder into the agent bootstrap when enabled; enabling requires explicit user action (openclaw hooks enable or copying files). The skill does not request system-wide or permanent elevated privileges.
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 self-improving-supply-chain - 安装完成后，直接呼叫该 Skill 的名称或使用
/self-improving-supply-chain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
v1.2.0
**Version 1.1.0**
- Added stackability contract for multi-skill installations.
- Added namespaced logging guidance (`.learnings/supply-chain/`) for coexistence with other skills.
- Added required `Skill: supply-chain` metadata field and cross-skill precedence/ownership rules.
- Clarified hook arbitration model (single dispatcher, dedupe, rate limiting).
v1.1.0
Version 1.1.0 — Documentation-Only Clarification
- Added explicit statement that this skill is documentation-only and does not execute purchases, place orders, trigger procurement transactions, or call external payment systems.
- No changes to core instructions or usage guidelines.
- All other content and workflow guidance remains unchanged.
v1.0.0
Initial release of the self-improving-supply-chain skill for supply chain event logging and continuous improvement.
- Captures and logs supply chain learnings, disruption events, and feature requests to structured markdown files for ongoing optimization.
- Categorizes issues such as forecast errors, supplier risks, logistics delays, inventory mismatches, quality deviations, and demand signal shifts.
- Provides detailed logging formats and quick-reference guidance for event categorization and escalation.
- Supports both OpenClaw and generic agent environments with instructions for setup and file initialization.
- Promotes broadly applicable learnings to operational assets such as supplier scorecards, safety stock policies, routing playbooks, and demand planning models.
元数据
常见问题
Self-Improving Supply Chain 是什么？
Captures forecast errors, supplier risks, logistics delays, inventory mismatches, quality deviations, and demand signal shifts to enable continuous supply ch... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 106 次。
如何安装 Self-Improving Supply Chain？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install self-improving-supply-chain」即可一键安装，无需额外配置。
Self-Improving Supply Chain 是免费的吗？
是的，Self-Improving Supply Chain 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Self-Improving Supply Chain 支持哪些平台？
Self-Improving Supply Chain 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 Self-Improving Supply Chain？
由 José I. O.（@jose-compu）开发并维护，当前版本 v1.2.0。
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