SKILLEMALL.ai

AF embodied-task-decomposition

Decompose complex physical tasks into atomic subtasks for robot execution. Use when user provides: (1) An image showing a physical scene (indoor/outdoor), and (2) A natural language task instruction. Triggers on phrases like "decompose this task", "break down this task", "split this task into subtasks", "task instruction", or any request to turn a high-level instruction into step-by-step robot actions. Also triggers when user provides image + task text together.

ClawHub Agent Skills author: NaNaoiSong v1.0.0 MIT-0 5 files body ≈ 688 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 57/100 · Will not run — References files that are not bundled: action-bank.md, examples.md

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
F
57/100
Will not run
References files that are not bundled: action-bank.md, examples.md
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
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: action-bank.md
  • warning missing-ref reference to a missing file: examples.md

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: action-bank.md, examples.md
  • 0Tools and files. 2 referenced file(s) missing: action-bank.md, examples.md
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 21 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 688 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

  • +4Description does not say when NOT to use the skill (false activations)
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 467: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 21 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: clean
This is a robot task-planning skill with a local validator and editable action list, but it does not show hidden network, credential, or execution behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026