10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
log sanitize
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install aronchick/expanso-log-sanitize打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
"Sanitize log entries by removing passwords, tokens, and sensitive patterns"
expanso-edge binary in PATH)clawhub install expanso-edge
# Run standalone
echo '<input>' | expanso-edge run pipeline-cli.yaml
# Start as MCP server
expanso-edge run pipeline-mcp.yaml
expanso-cli job deploy https://skills.expanso.io/log-sanitize/pipeline-cli.yaml
| File | Purpose |
|---|---|
skill.yaml |
Skill metadata (inputs, outputs, credentials) |
pipeline-cli.yaml |
Standalone CLI pipeline |
pipeline-mcp.yaml |
MCP server pipeline |
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Sanitize log entries by removing sensitive data patterns like passwords, tokens, and API keys.
This skill runs entirely locally without any API calls. It uses pattern matching to detect and redact common secret patterns in log files.
# Sanitize a log line
echo 'user=admin password=secret123 token=abc456' | \
expanso-edge run pipeline-cli.yaml
# Sanitize an entire log file
cat /var/log/app.log | expanso-edge run pipeline-cli.yaml
# Start server
PORT=8080 expanso-edge run pipeline-mcp.yaml &
# Make request
curl -X POST http://localhost:8080/sanitize \
-H "Content-Type: application/json" \
-d '{"log": "password=secret123 api_key=sk-123abc"}'
{
"sanitized": "user=admin password=***REDACTED*** token=***REDACTED***",
"redactions": 27,
"metadata": {
"skill": "log-sanitize",
"mode": "cli",
"trace_id": "abc123...",
"timestamp": "2024-01-15T10:30:00Z"
}
}
| Pattern | Example | Replacement |
|---|---|---|
| Passwords | password=secret |
password=***REDACTED*** |
| API Keys | api_key=sk-123 |
api_key=***REDACTED*** |
| Tokens | token=abc123 |
token=***REDACTED*** |
| Bearer Auth | Bearer eyJ... |
Bearer ***REDACTED*** |
| AWS Keys | AKIAIOSFODNN7 |
***AWS_KEY_REDACTED*** |
| JWT Tokens | eyJ...eyJ... |
***JWT_REDACTED*** |
| Secrets | secret=xyz |
secret=***REDACTED*** |
# log-sanitize "Sanitize log entries by removing passwords, tokens, and sensitive patterns" ## Requirements - Expanso Edge installed (`expanso-edge` binary in PATH) - Install via: `clawhub install expanso-edge` ## Usage ### CLI Pipeline ```bash # Run standalone echo '<input>' | expanso-edge run pipeline-cli.yaml ``` ### MCP Pipeline ```bash # Start as MCP server expanso-edge run pipeline-mcp.yaml ``` ### Deploy to Expanso Cloud ```bash expanso-cli job deploy https://skills.expanso.io/log-sanitize/pipeline-cli.yaml ``` ## Files | File | Purpose | |------|---------| | `skill.yaml` | Skill metadata (inputs, outputs, credentials) | | `pipeline-cli.yaml` | Standalone CLI pipeline | | `pipeline-mcp.yaml` | MCP server pipeline |
# log-sanitize
Sanitize log entries by removing sensitive data patterns like passwords, tokens, and API keys.
## Overview
This skill runs **entirely locally** without any API calls. It uses pattern matching to detect and redact common secret patterns in log files.
## Usage
### CLI Mode
```bash
# Sanitize a log line
echo 'user=admin password=secret123 token=abc456' | \
expanso-edge run pipeline-cli.yaml
# Sanitize an entire log file
cat /var/log/app.log | expanso-edge run pipeline-cli.yaml
```
### MCP Mode
```bash
# Start server
PORT=8080 expanso-edge run pipeline-mcp.yaml &
# Make request
curl -X POST http://localhost:8080/sanitize \
-H "Content-Type: application/json" \
-d '{"log": "password=secret123 api_key=sk-123abc"}'
```
## Output
```json
{
"sanitized": "user=admin password=***REDACTED*** token=***REDACTED***",
"redactions": 27,
"metadata": {
"skill": "log-sanitize",
"mode": "cli",
"trace_id": "abc123...",
"timestamp": "2024-01-15T10:30:00Z"
}
}
```
## Patterns Detected
| Pattern | Example | Replacement |
|---------|---------|-------------|
| Passwords | `password=secret` | `password=***REDACTED***` |
| API Keys | `api_key=sk-123` | `api_key=***REDACTED***` |
| Tokens | `token=abc123` | `token=***REDACTED***` |
| Bearer Auth | `Bearer eyJ...` | `Bearer ***REDACTED***` |
| AWS Keys | `AKIAIOSFODNN7` | `***AWS_KEY_REDACTED***` |
| JWT Tokens | `eyJ...eyJ...` | `***JWT_REDACTED***` |
| Secrets | `secret=xyz` | `secret=***REDACTED***` |
## Use Cases
- Pre-processing logs before sending to log aggregators
- Sanitizing logs before sharing with support
- Compliance with security policies
- Preparing logs for public documentationgenerate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.