SKILLEMALL.ai

BC emblem-ai-agent-wallet

Connect to EmblemVault and manage crypto wallets via Emblem AI - Agent Hustle. Supports Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin. Use when the user wants to trade crypto, check balances, swap tokens, or interact with blockchain wallets.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 6 029 tokens Open the sourcegithub.com analyzed 3 d ago

Connect to EmblemVault and manage crypto wallets via Emblem AI - Agent Hustle.

As a process C 60/100 · Has gaps — weak spots: result and completion, consistency, running it twice

IntegrationGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
95
Quality 40%
73
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Running it twice w 4
30
Consistency w 8
40
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Risky intent medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The purpose itself is risky: wallets, browser password stores, offensive security. Even an honest implementation gives the agent access to things that cost money.

For the author

Explain in the description why the access is needed and how it is limited; add tests that show refusals on dangerous requests.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Risky intent intent-wallet-secrets SKILL.md:568
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    Your EMBLEM_PASSWORD is the master key to your wallet. Treat it with the same care as a private key or seed phrase:

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6029 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 60/100

  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 20 mutating operations with no state check
  • 40Consistency. Frontmatter name (emblem-ai-agent-wallet) differs from the folder (emblemai-agentwallet)
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 6029 tokens
  • 85Steps. 63 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 23 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 253: enough signal without eating the budget
  • +4Structure: 54 headings
  • +3Step-by-step instructions: 63 items
  • +4Has examples (13 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.