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Agent Audit Log
作者
lethehades
· GitHub ↗
· v0.1.0
· MIT-0
535
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install agent-audit-log
功能描述
Lightweight operational audit logging for AI assistants, agent workspaces, and personal automation systems. Use when you need a structured way to record high...
使用说明 (SKILL.md)
Agent Audit Log
Create and maintain a lightweight audit trail for high-value actions.
Core rule
Log only actions that matter for safety, traceability, or later review. Do not turn the audit log into noise.
Default layers
- Raw fact log (
YYYY-MM-DD.jsonl) - Date summary (
index.json) - Target/project index (
by-target.json) - Risk index (
by-risk.json) - Human-readable summary (
latest.md) - Export-safety events (
export_safety_check) - Open items (
open-items.json) - Status transition history (
open-items-history.json)
Read references as needed
- Read
references/schema.mdfor the log schema and event fields. - Read
references/risk-model.mdfor how to classify low / medium / high risk. - Read
references/export-safety.mdbefore logging publish/export actions. - Read
references/open-items.mdwhen tracking unresolved risks or follow-up work. - Read
references/examples.mdwhen you need concrete event, export-safety, or open-item examples.
Use scripts as needed
- Use
scripts/init_audit.shto create the basic audit directory and starter files.
Operating rules
- Do not store plaintext secrets in audit logs.
- Prefer concise, human-readable summaries.
- Record target, result, and non-sensitive references.
- Use
warnwhen something needs attention but did not fail. - Use open items for follow-up risk, not for routine noise.
安全使用建议
This skill appears safe and does what it claims: initializes a local audit directory and provides a schema and examples. Before use: (1) run scripts/init_audit.sh in a test directory to verify behavior; (2) ensure the audit directory is stored with appropriate file permissions and retention policies (logs can be sensitive); (3) never log plaintext secrets — follow the README guidance and redact or reference secrets rather than storing them; (4) be aware that other skills or workflows could later read or transmit these logs, so control which agents or services have access to the logs. If you need remote centralized logging, implement secure, explicit export steps rather than relying on this skill alone.
功能分析
Type: OpenClaw Skill
Name: agent-audit-log
Version: 0.1.0
The agent-audit-log skill is a legitimate utility designed to help AI agents maintain a structured audit trail of their actions. It includes a simple shell script (scripts/init_audit.sh) for directory initialization and comprehensive documentation (references/) for risk modeling and export safety, which actually encourages the exclusion of sensitive data like credentials and local logs from public exports.
能力评估
Purpose & Capability
Name/description (lightweight audit log) match the files and runtime instructions. All referenced files (schema, examples, risk model) are present and relevant; nothing in the manifest suggests unrelated capabilities or external services are required.
Instruction Scope
SKILL.md stays on-topic: it instructs how to structure logs, which local reference files to read, and to use the included init script. It explicitly warns not to store plaintext secrets. It does not instruct reading unrelated system files, environment variables, or sending data to external endpoints.
Install Mechanism
There is no install spec (instruction-only) and a single small bash script that only creates local directories/files. No downloads, package installs, or archive extraction are present.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The schema includes event kinds such as 'config_secret_injection' but the documentation explicitly advises not to store plaintext secrets; this is a legitimate logging schema choice rather than credential access.
Persistence & Privilege
The skill is not forced always-on (always:false) and does not request elevated or cross-skill configuration changes. Its only persistence is creating local audit files in a logs/audit directory under a provided root — standard and scoped behavior.
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 agent-audit-log - 安装完成后,直接呼叫该 Skill 的名称或使用
/agent-audit-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
v0.1.0
First public draft of a lightweight operational audit logging skill for AI assistants, agent workspaces, and personal automation systems.
元数据
常见问题
Agent Audit Log 是什么?
Lightweight operational audit logging for AI assistants, agent workspaces, and personal automation systems. Use when you need a structured way to record high... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 535 次。
如何安装 Agent Audit Log?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-audit-log」即可一键安装,无需额外配置。
Agent Audit Log 是免费的吗?
是的,Agent Audit Log 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Agent Audit Log 支持哪些平台?
Agent Audit 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 Agent Audit Log?
由 lethehades(@lethehades)开发并维护,当前版本 v0.1.0。
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