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SKILL verified Apache-2.0 Self-run

Log Analyzer

skill-holsee-conjure-log-analyzer · by holsee

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Install

$ agentstack add skill-holsee-conjure-log-analyzer

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Log Analyzer Skill

A production monitoring skill for fetching, analyzing, and diagnosing issues from application logs.

Available Scripts

1. Fetch Logs (fetch_logs.py)

Fetches logs from a REST API endpoint.

# Fetch last 100 logs
python3 scripts/fetch_logs.py --endpoint "http://localhost:8080/api/logs" --limit 100

# Fetch logs with time range
python3 scripts/fetch_logs.py --endpoint "http://localhost:8080/api/logs" \
  --start "2024-01-15T00:00:00" --end "2024-01-15T23:59:59"

# Fetch logs by severity
python3 scripts/fetch_logs.py --endpoint "http://localhost:8080/api/logs" \
  --level ERROR

Options:

  • --endpoint - REST API URL for logs (required)
  • --limit - Maximum number of logs to fetch (default: 100)
  • --start - Start time (ISO 8601 format)
  • --end - End time (ISO 8601 format)
  • --level - Filter by log level (DEBUG, INFO, WARN, ERROR)
  • --output - Output file (default: stdout)

2. Parse Logs (parse_logs.py)

Parses log files in various formats.

# Parse JSON logs
python3 scripts/parse_logs.py --format json logs.json

# Parse text logs with pattern
python3 scripts/parse_logs.py --format text --pattern "%(timestamp)s %(level)s %(message)s" app.log

# Parse and filter by level
python3 scripts/parse_logs.py logs.json --level ERROR

Supported Formats:

  • json - JSON lines format
  • text - Plain text with pattern
  • auto - Auto-detect format

3. Analyze Logs (analyze.py)

Analyzes logs for patterns, errors, and anomalies.

# Full analysis
python3 scripts/analyze.py logs.json

# Error analysis only
python3 scripts/analyze.py logs.json --errors-only

# Generate summary
python3 scripts/analyze.py logs.json --summary

# Find patterns
python3 scripts/analyze.py logs.json --patterns

Analysis Types:

  • Error frequency and patterns
  • Response time anomalies
  • Request volume trends
  • Common error messages
  • Suggested diagnostics

Example Workflow

  1. Fetch recent logs:

``bash python3 scripts/fetch_logs.py --endpoint "http://api.example.com/logs" \ --limit 500 --output recent_logs.json ``

  1. Analyze for errors:

``bash python3 scripts/analyze.py recent_logs.json --errors-only ``

  1. Get summary:

``bash python3 scripts/analyze.py recent_logs.json --summary ``

Log Format Reference

See references/log_formats.md for supported log formats and examples.

Tips

  • Always start by fetching recent logs with a reasonable limit
  • Use --errors-only for quick triage
  • Use --summary to understand overall health
  • Check --patterns to find recurring issues

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.