BD openclaw-backup-automation
Automated backup for OpenClaw instances. Backs up agents, skills, cron jobs, and memory. Supports local tar archives. Credentials, periodic scheduling, and git sync are OPT-IN only.
Automated backup for OpenClaw instances.
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 2
✓ No critical or high findings
Medium and low: 2
-
low Dangerous commands
cmd-cron-mentionscripts/backup.js:133Mentions editing / listing crontab (string literal in code, not executed)console.log(' crontab -e');code literal -
low Dangerous commands
cmd-cron-mentionSKILL.md:93Mentions editing / listing crontabcrontab -e
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 46/100
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 40Consistency. Frontmatter name (openclaw-backup-automation) differs from the folder (backup-automation)
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 17 steps
- 100Execution cost. Instruction body is 940 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -217 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 181: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 17 items
- +4Has examples (12 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: suspicious
This backup skill mostly matches its purpose, but it needs review because restore can overwrite home-directory files and optional git sync can push a whole workspace to a remote repository.
LLM: suspicious (high) · VirusTotal: · 1 Jul 2026