SKILLEMALL.ai

FC solcal-recovery

OpenClaw repair toolkit — automated diagnostics, backup/restore, and guided AI-assisted recovery.

Not recommendedcritical or high security findings · low grade F
ClawHub Agent Skills author: Pixelwitch v1.0.0 MIT-0 9 files · 6 scripts body ≈ 358 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

OpenClaw repair toolkit — automated diagnostics, backup/restore, and guided AI-assisted recovery.

As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
F
53/100
safety, quality, tests
Safety 60%
46
Quality 40%
64
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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. 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

  • high Dangerous commands cmd-pipe-to-shell ai-repair.sh:14
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://ollama.ai/install | sh
  • high Dangerous commands cmd-pipe-to-shell README.md:42
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://ollama.ai/install | sh
  • high Dangerous commands cmd-pipe-to-shell SolCal-Recovery.sh:170
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://ollama.ai/install | sh

Files scanned: 9. 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 "permissions"

Process rating: all ten parameters 61/100

  • 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
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 358 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 97: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 14 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
This is a real OpenClaw recovery toolkit, but it makes high-impact system changes and copies sensitive credentials with too little control or warning.
LLM: suspicious (high) · VirusTotal: · 24 Jun 2026