SKILLEMALL.ai

BD twzrd-clawrouter

TWZRD Preflight for ClawRouter / BlockRun / OpenClaw. The independent pre-spend gate for agents using ClawRouter (for LLM models, Surf crypto data, Predexon, voice, image, etc.) or paying BlockRun. The one rule: Before using ClawRouter or paying BlockRun, call free TWZRD preflight (decision=block → abort) and free merchant_card (wash_flagged → do not pay). Composes with AgentCash or direct; Solana-native receipt proof after. Use before any x402 spend through ClawRouter proxy or BlockRun gateway. WHAT YOU GET FREE: ReadinessCard (allow / warn / block + trust_score + caveats) from Solana x402 payer graph before routing spend. PAID (x402, USDC on Solana): full trust + portable Ed25519-signed v6 receipt (when querying TWZRD intel alongside). TRIGGERS: clawrouter preflight, blockrun spend gate, surf data safe, openclaw before pay, pre clawrouter, x402 router gate, blockrun trust, preflight claw

ClawHub Agent Skills author: agent-trust v0.2.1 MIT-0 3 files body ≈ 11 134 tokens Open the sourceclawhub.ai analyzed 3 d ago

TWZRD Preflight for ClawRouter / BlockRun / OpenClaw.

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
98
Quality 40%
64
Run on models
none yet
Process rating
D
48/100
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. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token example.ts:214
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    console.log('  Offline equivalent: npx twzrd-receipt-verifier@^1.3.0 <receipt.json> --pubkey 9V6P…Ldf');
    fixturequoted
  • low Secrets in code secret-high-entropy-token SKILL.md:359
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    console.log('  Offline equivalent: npx twzrd-receipt-verifier@^1.3.0 <receipt.json> --pubkey 9V6P…Ldf');
    quoted

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 11134 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 48/100

  • 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. 10 mutating operations with no state check
  • 40Execution cost. Instruction body is 11134 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
  • 85Steps. 53 steps, 3 vague phrases
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 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)
  • +3Description length 905: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This skill is a disclosed payment-preflight helper that checks TWZRD trust data before ClawRouter or BlockRun spending, with no evidence of hidden fund movement or secret theft.
LLM: benign (medium) · VirusTotal: · 17 Aug 2026