SKILLEMALL.ai
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BF multichain-protocol

Turn any AI agent into a 19-chain crypto wallet via MeneseSDK on ICP. Send tokens, swap on DEXes (Raydium, Uniswap, ICPSwap, KongSwap, Cetus, Minswap), bridge cross-chain, manage DeFi positions (Aave, Lido, LP), automate trading (DCA, stop-loss, rebalancing), and process payments — all from a single ICP canister.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 8 802 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Turn any AI agent into a 19-chain crypto wallet via MeneseSDK on ICP.

As a process F 29/100 · Will not run — References files that are not bundled: scripts/wallet_commands.py, references/api-surface.md, references/automation.md

ProcedureAI and agentstype 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
76/100
safety, quality, tests
Safety 60%
93
Quality 40%
50
Run on models
none yet
Process rating
F
29/100
Will not run
References files that are not bundled: scripts/wallet_commands.py, references/api-surface.md, references/automation.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Secrets in code secret-high-entropy-token SKILL.md:320
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    let SOL = "So11…112";
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:321
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    let USDC = "EPjF…t1v";
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:424
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "0x5f…419",  // ETH/USD feed
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:596
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "So11…112",  // SOL
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:597
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "EPjF…t1v",  // USDC
    quoted
  • low Secrets in code secret-high-entropy-token wallet_commands.py:242
    High-entropy token-like string (may be an id, hash or a credential)
    # Set wrapSol=true when input is native SOL (So11…112)
  • low Secrets in code secret-high-entropy-token wallet_commands.py:244
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    SOL_MINT = "So11…112"
    quoted

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 8802 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/wallet_commands.py
  • warning missing-ref reference to a missing file: references/api-surface.md
  • warning missing-ref reference to a missing file: references/automation.md

Process rating: all ten parameters 29/100

Will not run. References files that are not bundled: scripts/wallet_commands.py, references/api-surface.md, references/automation.md
  • 0Tools and files. 3 referenced file(s) missing: scripts/wallet_commands.py, references/api-surface.md, references/automation.md
  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 71 mutating operations with no state check
  • 40Execution cost. Instruction body is 8802 tokens: crowds the task out of the window
  • 100Steps. 16 steps
  • 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 314: enough signal without eating the budget
  • +4Structure: 43 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (32 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 50.