SKILLEMALL.ai

BC crabwalk

Real-time companion monitor for OpenClaw agents

ClawHub Agent Skills author: luccasveg v0.1.0 2 files body ≈ 1 231 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 63/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

ReferenceInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
89
Quality 40%
67
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: crabwalk (ClawHub)

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. 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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Dangerous commands cmd-shell-rc skill.md:115
    Writes to a shell startup file
    [ -f ~/.bashrc ] && echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc skill.md:116
    Writes to a shell startup file
    [ -f ~/.zshrc ] && echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.zshrc
  • low Dangerous commands cmd-shell-rc skill.md:19
    Writes to a shell startup file (detector / deny-list definition)
    VERSION=$(curl -s https://api.github.com/repos/luccast/crabwalk/releases/latest | grep '"tag_name"' | cut -d'"' -f4) && mkdir -p ~/.crabwalk ~/.local/bin && curl -sL "https://github.com/luccast/crabwa
    detector

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "repository"

Process rating: all ten parameters 63/100

  • 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
  • 40Consistency. Frontmatter name (crabwalk) differs from the folder (public)
  • 65Failures and branches. 3 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 6 steps
  • 100Execution cost. Instruction body is 1231 tokens
  • 100Running it twice. No mutating operations
  • low 11 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)
  • +3Description length 47: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
The skill is not clearly malicious, but it needs review because it installs an unverified remote program, exposes monitoring and workspace browsing over the network, and may make persistent or privileged system changes.
LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026