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BD solo_cli_guide

Interactive step-by-step tutor for Solo CLI — guides a human through environment setup, robot arm calibration, teleoperation, dataset recording, and policy training

ClawHub Agent Skills author: Samarth Shukla v1.0.3 MIT-0 11 files body ≈ 1 116 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationData and analyticsInfrastructureLearningtype 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
B
82/100
safety, quality, tests
Safety 60%
96
Quality 40%
61
Run on models
none yet
Process rating
D
49/100
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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Dangerous commands cmd-pipe-to-shell-known-host domains/environment.json:7
    Pipe-to-shell installer from a well-known host (still executes remote code) (string literal in code, not executed)
    "macos": "curl -LsSf https://astral.sh/uv/install.sh | sh",
    code literal
  • low Dangerous commands cmd-pipe-to-shell-known-host domains/environment.json:8
    Pipe-to-shell installer from a well-known host (still executes remote code) (string literal in code, not executed)
    "linux": "curl -LsSf https://astral.sh/uv/install.sh | sh",
    code literal
  • low Dangerous commands cmd-execpolicy-bypass domains/environment.json:9
    Runs PowerShell with execution policy bypassed (quoted — discussed, not commanded)
    "windows": "powershell -ExecutionPolicy ByPass -c \"irm https://astral.sh/uv/install.ps1 | iex\""
    quoted
  • low Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:72
    Pipe-to-shell installer from a well-known host (still executes remote code) (documentation table row)
    | `curl -LsSf https://astral.sh/uv/install.sh \| sh` | astral.sh | Install uv package manager |
    table

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 49/100

  • 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. 8 mutating operations with no state check
  • 40Consistency. Frontmatter name (solo_cli_guide) differs from the folder (solo-cli-guide)
  • 60Tools and files. Uses tools (bash, web, git, python, node) that frontmatter does not declare
  • 100Steps. 18 steps
  • 100Failures and branches. 5 branches, has a failure section
  • 100Execution cost. Instruction body is 1116 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 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
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 164: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (0 code blocks)

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

External checks

ClawHub: suspicious
This appears to be a legitimate human-guided Solo CLI tutor, but it needs review because it guides real robot motion without consistent safety checkpoints.
LLM: suspicious (high) · VirusTotal: · 29 May 2026