SKILLEMALL.ai

AF openclaw-skill-packager

Gunakan saat memaketkan, memvalidasi, dan menyiapkan skill OpenClaw untuk backup, deploy, atau reuse lintas environment. Menjamin struktur valid, bebas secret, dan kompatibel platform (Termux/Android vs desktop).

ClawHub Agent Skills author: Suga Nick v1.0.0 MIT-0 5 files body ≈ 2 237 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 43/100 · Will not run — References files that are not bundled: scripts/config.sh

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
43/100
Will not run
References files that are not bundled: scripts/config.sh
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

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 · 0

✓ No critical or high findings

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/config.sh
  • note frontmatter-key unknown frontmatter key "slug"

Process rating: all ten parameters 43/100

Will not run. References files that are not bundled: scripts/config.sh
  • 0Tools and files. 1 referenced file(s) missing: scripts/config.sh
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 40Consistency. Frontmatter name (openclaw-skill-packager) differs from the folder (skill-packager)
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 88 steps
  • 100Execution cost. Instruction body is 2237 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 18 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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
  • +2Single-language instructions
  • +3Description length 212: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 88 items
  • +4Has examples (3 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This is a straightforward OpenClaw skill packager that discloses its local validation, copying, and secret-checking behavior.
LLM: benign (high) · VirusTotal: · 25 Aug 2026