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AD quadruped

Comprehensive quadruped robot development skill covering motor control, sensor data processing, locomotion patterns, and debugging workflows. Use when working with legged robots (e.g., Unitree Go1, ANYmal, custom four-legged designs) for tasks like: motor control commands, IMU/encoder data handling, motion planning, walking/running gaits, sensor fusion, system diagnostics, or protocol communication (CAN bus, UART, EtherCAT).

ClawHub Agent Skills author: Wsteve v1.0.0 MIT-0 14 files · 2 scripts body ≈ 2 309 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
99
Quality 40%
78
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Dangerous commands cmd-eval-dynamic simple_test.py:7
      Dynamic code execution from decoded/untrusted input (test fixture / example file)
      exec(open('/Users/liuxing/.openclaw/workspace/skills/quadruped/scripts/sim_state.py').read())
      fixture

    Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Comprehensive quadruped robot development skill covering motor con… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 44/100

    • 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
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (quadruped) differs from the folder (zsquadbot)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 100Steps. 31 steps
    • 100Execution cost. Instruction body is 2309 tokens

    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 428: enough signal without eating the budget
    • +4Structure: 30 headings
    • +3Step-by-step instructions: 31 items
    • +4Has examples (12 code blocks)
    • +3All 6 scripts are documented
    • +1License stated

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

    External checks

    ClawHub: suspicious
    This quadruped-robot skill mostly matches its stated purpose, but it can enable and command real motors without adequate safety gating and includes a hardcoded dynamic code execution test script.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026