SKILLEMALL.ai
GitHub ↗ RU Sign in

AC qrcoin

Interact with QR Coin auctions on Base. Use when the user wants to participate in qrcoin.fun QR code auctions — check auction status, view current bids, create new bids, or contribute to existing bids. QR Coin lets you bid to display URLs on QR codes; the highest bidder's URL gets encoded.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 1 570 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Interact with QR Coin auctions on Base.

As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

IntegrationSoftware developmenttype 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
A
91/100
safety, quality, tests
Safety 60%
95
Quality 40%
84
Run on models
none yet
Process rating
C
62/100
Has gaps
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

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token SKILL.md:15
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | QR Auction | `0x73…176` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:16
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | USDC | `0x83…913` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:38
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      -d '{"jsonrpc":"2.0","method":"eth_call","params":[{"to":"0x73…176","data":"0x7d9f6db5"},"latest"],"id":1}' \
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:51
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      -d '{"jsonrpc":"2.0","method":"eth_call","params":[{"to":"0x73…176","data":"0xa4d0a17e'"$TOKEN_ID_HEX"'"},"latest"],"id":1}' \
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:61
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      -d '{"jsonrpc":"2.0","method":"eth_call","params":[{"to":"0x73…176","data":"0x5b3bec22"},"latest"],"id":1}' \
      quoted

    Files scanned: 1. 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 62/100

    • 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
    • 50Failures and branches. 0 branches, has a failure section
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 26 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1570 tokens
    • 100Running it twice. Mutating operations check current state

    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 290: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (6 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.