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BF ride

Ambient Ride skill for TADA/Throo ride-hailing and taxi service. Wallet, USDC bridge status and recovery, deposit, collateral, ride, payment, chat, and tipping workflows; use it for wallet balances, starting and resuming USDC bridges, and bridge progress.

ClawHub Agent Skills author: Ambient Protocol v1.5.0 MIT-0 14 files body ≈ 15 012 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Ambient Ride skill for TADA/Throo ride-hailing and taxi service.

As a process F 57/100 · Will not run — References files that are not bundled: url, <approval_url>, references/wallet.md

ProcedureTelegramSoftware developmentInfrastructureData and analyticstype 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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
F
57/100
Will not run
References files that are not bundled: url, <approval_url>, references/wallet.md
Tools and files w 18
0
Inputs and preconditions w 11
30
Execution cost w 6
40
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 15012 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: url
  • warning missing-ref reference to a missing file: <approval_url>
  • warning missing-ref reference to a missing file: references/wallet.md
  • warning missing-ref reference to a missing file: references/usage.md
  • warning missing-ref reference to a missing file: references/ride.md
  • warning missing-ref reference to a missing file: references/member-payment.md
  • warning missing-ref reference to a missing file: references/chat.md
  • warning missing-ref reference to a missing file: references/tip.md

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: url, <approval_url>, references/wallet.md
  • 0Tools and files. 8 referenced file(s) missing: url, <approval_url>, references/wallet.md
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 40Execution cost. Instruction body is 15012 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 56 steps, 1 vague phrases
  • 100Failures and branches. 16 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (39 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 255: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 56 items
  • +3Output format is stated explicitly
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
The skill is a coherent ride-hailing integration, but it asks for high-impact payment, wallet, install, background-process, and transcript access with several review-worthy scoping risks.
LLM: suspicious (high) · 10 Sept 2026