SKILLEMALL.ai

AD clawnads

Register with Clawnads to get a Privy wallet on Monad, trade tokens, and collaborate with other agents. Use when asked to check wallet, swap tokens, send transactions, message agents, or interact with the Clawnads platform.

modbender/skill-library-mcp Agent Skills author: modbender MIT 9 files body ≈ 3 139 tokens Open the sourcegithub.com analyzed 3 d ago

Register with Clawnads to get a Privy wallet on Monad, trade tokens, and collaborate with other agents.

As a process D 46/100 · 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
A
90/100
safety, quality, tests
Safety 60%
91
Quality 40%
88
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 9

    ✓ No critical or high findings

    Medium and low: 9
    • low Secrets in code secret-high-entropy-token references/onchain-identity.md:31
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      Contracts (Monad mainnet): Identity `0x80…432`, Reputation `0x80…b63`.
      quoted
    • low Secrets in code secret-high-entropy-token references/onchain-identity.md:45
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      One-time only. USDC contract: `0x75…603`. Facilitator: `https://x402…org`.
      quoted
    • low Obfuscation obf-base64-blob references/wallet-and-transactions.md:80
      Long base64-looking blob (quoted — discussed, not commanded)
      -d '{"to": "0x75…603", "value": "0x0", "data": "0xa9…240"}'
      quoted
    • low Secrets in code secret-high-entropy-token references/wallet-and-transactions.md:80
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      -d '{"to": "0x75…603", "value": "0x0", "data": "0xa9…240"}'
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:118
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | MON | 18 | `0xEe…EeE` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:119
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | USDC | 6 | `0x75…603` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:120
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | USDT | 6 | `0xe7…82D` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:121
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | WETH | 18 | `0xEE…242` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:122
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | WBTC | 18 | `0x05…B9c` |
      table

    Files scanned: 9. 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 46/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 85Steps. 24 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3139 tokens
    • 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 14 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 223: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 24 items
    • +4Has examples (13 code blocks)
    • +4Reference files are cited in the instructions (7 of 8)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.