Home Lab Ops Log
v1.0.0为个人服务器或家庭实验室记录变更前后、目的、回滚和观察结果。；use for homelab, ops-log, changes workflows；do not use for 执行真实运维命令, 公开敏感主机信息.
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byvx：17605205782@52yuanchangxing
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description describe a homelab ops-log/changes workflow and the bundle only requires python3 and local templates/specs. There are no unrelated credentials, binaries, or network endpoints requested, so the requested capabilities match the stated purpose.
Instruction Scope
SKILL.md confines the agent to producing reviewable drafts and explicitly forbids executing real ops commands or exposing sensitive host info. It suggests invoking the included script (python3 scripts/run.py) if shell/exec is available, or otherwise producing text from resources/template.md and resources/spec.json. The included script reads files and directories provided by the user and can scan file contents — this is expected for a local audit/reporting tool, but means the skill will process any path the user supplies (so avoid passing sensitive system paths).
Install Mechanism
No install spec is present (instruction-only skill with an included script). That minimizes install risk; the Python script is included in the bundle and no remote downloads or package installs are performed.
Credentials
No environment variables, secrets, or external credentials are requested. The skill operates on local input files or directories supplied at runtime, which is proportional to its purpose.
Persistence & Privilege
always is false and the skill does not request persistent or elevated platform privileges. It does not modify other skills or system-level settings. Model invocation is allowed (normal default) but not elevated.
Assessment
This skill appears to do what it claims: generate structured ops logs from local inputs using a bundled Python script. Before installing or invoking it:
- Inspect scripts/run.py locally (it is included) to confirm behavior — it uses only Python stdlib and contains no network calls.
- When running, avoid giving the skill paths pointing to sensitive files (SSH keys, /etc, home directories) because the script will read and summarize files you point it at.
- Prefer --dry-run and run the smoke test locally first to verify outputs.
- If you plan to let an autonomous agent invoke skills, be aware that the agent could supply file paths as inputs; if that is a concern, restrict autonomous invocation or sandbox the agent.
Overall this bundle is coherent and proportionate for a local ops-log/reporting helper.Like a lobster shell, security has layers — review code before you run it.
latestvk974y48qn74e4peqw63w5t6jt18325sx
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🧰 Clawdis
OSmacOS · Linux · Windows
Binspython3