Logfile Analyzer
v1.0.0Analyze application logs to produce actionable error digests with pattern detection, severity classification, trend analysis, and remediation recommendations...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the included Python analyzer (scripts/analyze_logs.py). The script and SKILL.md focus on parsing log files, grouping errors, trend detection, and recommendations — all coherent with a logfile analyzer. No unrelated binaries, environment variables, or cloud credentials are requested.
Instruction Scope
Instructions direct the agent/user to run the included script against local log files or directories (examples use /var/log). This is expected for the stated purpose. Note: the tool will read any file paths you provide (logs can contain sensitive data), so feeding it arbitrary system paths grants it access to those files.
Install Mechanism
No install spec — instruction-only with an included pure-Python (stdlib) script. No downloads, no external package registry dependencies, and no archives to extract.
Credentials
The skill declares no required environment variables or credentials and the included script imports only stdlib modules. There are no obvious requests for unrelated secrets or external service tokens.
Persistence & Privilege
always:false and no install behavior that modifies other skills or system-wide settings. The skill does not request permanent presence or privileged agent-wide configuration.
Assessment
This appears to be a straightforward local log analyzer, but consider the following before installing or running it: 1) Logs often contain sensitive data (API keys, PII, auth tokens) — run the tool only on files you intend to analyze and preferably on a copy or in a sandbox. 2) Review the included script (scripts/analyze_logs.py) yourself — it runs locally and will read whatever paths you pass to it. 3) The skill has no provenance information (no homepage) and is sold/packaged by an unknown owner — if this matters for your environment, prefer tools from known sources or audit the code. 4) For automated runs (cron/CI), give the process least privilege (read-only access to specific log directories) and avoid sending raw outputs to external endpoints unless you control them.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
