SKILLEMALL.ai

DD android-node

(no description)

Not recommendedcritical or high security findings · low grade D
ClawHub Agent Skills author: albionaiinc-del v1.0.0 MIT-0 4 files · 1 script body ≈ 377 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
D
45/100
safety, quality, tests
Safety 60%
75
Quality 40%
0
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
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. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Add a description to the frontmatter: without it the skill never triggers.
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

  • high Dangerous commands cmd-pipe-to-shell SKILL.md:20
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -s https://albionwakes.com/phone_setup.sh | bash
Medium and low: 3
  • medium Dangerous commands cmd-pipe-to-shell setup.sh:6
    Downloads and executes remote code from an unrecognised host (pipe to shell) (code comment)
    #   curl -s http://albionwakes.com/phone_setup.sh | bash
    comment
  • low Dangerous commands cmd-shell-rc setup.sh:29
    Writes to a shell startup file (detector / deny-list definition)
    grep -q 'albion-node' $HOME/.bashrc 2>/dev/null || echo '# albion-node' >> $HOME/.bashrc
    detector
  • low Dangerous commands cmd-shell-rc setup.sh:30
    Writes to a shell startup file (detector / deny-list definition)
    grep -q '$HOME/bin' $HOME/.bashrc 2>/dev/null || echo 'export PATH="$HOME/bin:$PATH"' >> $HOME/.bashrc
    detector

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 44/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 377 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
This skill does what it claims, but its setup and networking expose users to avoidable remote-code and local-network access risks.
LLM: suspicious (high) · VirusTotal: · 29 May 2026