SKILLEMALL.ai

BF geelark-complete

All-in-one Skill fuer GeeLark: Setup, lokale API, nativer Sync-Transport, UI/RPA-Fallback, Posting-Flow, Verifikation und Troubleshooting in einem durchgaengigen Runbook.

ClawHub Agent Skills author: Pagebabe v1.0.0 2 files body ≈ 1 114 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 40/100 · Will not run — References files that are not bundled: scripts/geelark/local_client.py, scripts/geelark/sync_client.mjs

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
95
Quality 40%
61
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: scripts/geelark/local_client.py, scripts/geelark/sync_client.mjs
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.

Broad scope 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 asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Edit Grep Glob Bash AskUserQuestion

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")
  • warning missing-ref reference to a missing file: scripts/geelark/local_client.py
  • warning missing-ref reference to a missing file: scripts/geelark/sync_client.mjs

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: scripts/geelark/local_client.py, scripts/geelark/sync_client.mjs
  • 0Tools and files. 2 referenced file(s) missing: scripts/geelark/local_client.py, scripts/geelark/sync_client.mjs
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 66 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1114 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)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 170: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 66 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
This GeeLark automation skill is mostly coherent, but it gives an agent broad local automation authority with credentials and unreviewed helper scripts, so users should review it carefully before installing.
LLM: suspicious (medium) · VirusTotal: benign · 28 May 2026