SKILLEMALL.ai

BF multi-device-sync-github

Multi-device OpenClaw data synchronization using GitHub. Manages workspace data sync across multiple machines (Ubuntu, Mac, etc.) with automatic push on file changes, periodic pull, and conflict detection. Use when setting up or managing OpenClaw across multiple devices, configuring data synchronization, resolving sync conflicts, or adding new devices to the sync network.

ClawHub Agent Skills author: Leon v1.0.2 16 files · 9 scripts body ≈ 2 156 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 45/100 · Will not run — References files that are not bundled: LICENSE

AnalyzerGitHubInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
80
Quality 40%
80
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: LICENSE
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Dangerous commands cmd-pipe-to-shell README.md:31
    Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
    This method is **safer** than `curl | bash` because:
    quoted
  • medium Dangerous commands cmd-pipe-to-shell-known-host README.md:41
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/RegulusZ/multi-device-sync-github/main/install.sh | bash
  • medium Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:46
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/RegulusZ/multi-device-sync-github/main/install.sh | bash
  • medium Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:188
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/RegulusZ/multi-device-sync-github/main/install.sh | bash

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: LICENSE

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: LICENSE
  • 0Tools and files. 1 referenced file(s) missing: LICENSE
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 16 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2156 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 17 top-level sections: this looks like several domains in one skill

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
  • -31 of 8 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 374: enough signal without eating the budget
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (18 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: suspicious
This appears to be a real GitHub sync tool, but it needs review because it can continuously sync sensitive OpenClaw files and behavior settings to GitHub.
LLM: suspicious (high) · VirusTotal: · 29 May 2026