/install log
LOG: Local-First Provenance Protocol
I. Purpose
Log standardizes how an agent emits structured provenance records for important workflow events. It does not perform persistence, encryption, approval handling, or immutability enforcement by itself. Those controls belong to the host environment.
Use this skill when a workflow needs:
- audit-ready activity records
- debugging traces for failures or retries
- source-aware decision summaries
- host-controlled approval gates for high-impact actions
Do not use this skill to:
- record hidden chain-of-thought
- store secrets, credentials, or tokens
- dump raw private documents, attachments, or long transcripts
- claim storage guarantees the host has not implemented
II. Event Triggers
Emit a log entry only for important workflow events, such as:
- tool or API execution
- significant decision or state change
- task completion, retry, refusal, or failure
- high-impact action that may require host approval
Do not emit logs for every minor conversational turn.
III. Security & Redaction Rules
All emitted records must be minimal, factual, and privacy-safe.
Rules:
- never include passwords, API keys, bearer tokens, cookies, session IDs, or secrets
- replace sensitive values with
[SECRET_REDACTED] - never include hidden chain-of-thought or full internal reasoning traces
- prefer summaries over raw content
- when sensitive personal data is involved, log only the category of data unless explicitly required and authorized
IV. Approval Signaling
For a high-impact action, emit a log entry with:
"approval_required": true
The host environment may use this signal to pause execution until an approval event, user confirmation, or policy check is completed.
Log emits the signal only. The host environment decides whether to block, continue, or reject execution.
V. Source Provenance
When relevant, include source references that explain what the action or decision was based on.
Examples:
- user instruction
- local file name
- tool result identifier
- API response label
- workflow state snapshot
Keep source references concise and safe. Do not include sensitive raw content.
VI. Output Contract
When logging is required, output exactly one structured record in a fenced
json block prefixed by [LOG_ENTRY].
VII. Required Schema
Use this exact JSON structure:
[LOG_ENTRY]
{
"timestamp": "YYYY-MM-DDTHH:MM:SSZ",
"event_type": "observation | decision | execution | state_change | completion | error | refusal",
"status": "success | failed | pending | intercepted | skipped",
"actor": "assistant | skill_name | workflow_name",
"summary": "Concise factual description of what happened",
"decision_basis": [
"Key fact, constraint, or condition",
"Key fact, constraint, or condition"
],
"source_references": [
"user_prompt",
"local:file_a.md",
"tool_result:search_01"
],
"constraints": [
"local_only",
"privacy_safe",
"approval_gate"
],
"impact": "low | medium | high",
"approval_required": false,
"payload": {
"action": "tool name, operation name, or null",
"parameters_summary": "Redacted summary of relevant inputs",
"result_summary": "Redacted summary of outputs or outcome"
},
"error_summary": null,
"correlation_id": "optional task or session identifier"
}
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install log - 安装完成后,直接呼叫该 Skill 的名称或使用
/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
log 是什么?
A privacy-first, local-first provenance protocol for agent workflows. Emits structured audit records for important decisions, tool calls, state changes, and... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 464 次。
如何安装 log?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install log」即可一键安装,无需额外配置。
log 是免费的吗?
是的,log 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
log 支持哪些平台?
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 log?
由 AGIstack(@agistack)开发并维护,当前版本 v1.1.1。