SKILLEMALL.ai

AB unitree-hermes-colab

Build or review a safety-gated Google Colab workflow that installs Hermes Agent and uses it for read-only Unitree Robotics repository analysis, simulation runbooks, log triage, and contribution planning. Use for Unitree, Hermes Agent, Colab, robot-safety, or Codex-skill tasks; do not use for live robot control.

ClawHub Agent Skills author: Zakhar Pashkin v0.1.0 MIT-0 4 files body ≈ 870 tokens Open the sourceclawhub.ai analyzed 26 h ago

Build or review a safety-gated Google Colab workflow that installs Hermes Agent and uses it for read-only Unitree Robotics repository analysis, simulation…

As a process B 65/100 · Nearly there — weak spots: inputs and preconditions, failures and branches, running it twice

ProcedureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
B
65/100
Nearly there
Inputs and preconditions w 11
0
Failures and branches w 10
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 65/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 30Running it twice. 3 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 20 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 870 tokens
    • 100Progress reporting. Reports progress
    • high The skill tells the model to perform an irreversible action with no human approval

    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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 312: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 20 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: clean
    This skill is a clearly scoped Unitree/Hermes Colab helper with explicit safety boundaries and no evidence of hidden, destructive, or deceptive behavior.
    LLM: benign (high) · VirusTotal: · 6 Jun 2026