SKILLEMALL.ai
GitHub ↗ RU Sign in

CD Garden Temp Market (GTM) Skill

Play the daily garden temperature prediction market on Base.

modbender/skill-library-mcp Agent Skills author: modbender MIT 18 files body ≈ 1 421 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Play the daily garden temperature prediction market on Base.

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsData and analyticstype 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
C
69/100
safety, quality, tests
Safety 60%
73
Quality 40%
64
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

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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 23

✓ No critical or high findings

Medium and low: 23
  • medium Risky intent intent-wallet-secrets README.md:40
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    - `PRIVATE_KEY` - Deployer wallet private key
  • low Secrets in code secret-high-entropy-token broadcast/Deploy.s.sol/8453/run-1770799076743.json:10
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "0xf8…Ee0",
    detector
  • low Secrets in code secret-high-entropy-token broadcast/Deploy.s.sol/8453/run-1770799076743.json:11
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "0x75…60d",
    quoted
  • low Secrets in code secret-high-entropy-token broadcast/Deploy.s.sol/8453/run-1770799076743.json:12
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "0x75…60d",
    quoted
  • low Secrets in code secret-high-entropy-token broadcast/Deploy.s.sol/8453/run-latest.json:10
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; test fixture / example file)
    "0xf8…Ee0",
    detectorfixture
  • low Secrets in code secret-high-entropy-token broadcast/Deploy.s.sol/8453/run-latest.json:11
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    "0x75…60d",
    fixturequoted
  • low Secrets in code secret-high-entropy-token broadcast/Deploy.s.sol/8453/run-latest.json:12
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    "0x75…60d",
    fixturequoted
  • low Exfiltration net-credential-use foundry.toml:16
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    base = { key = "${BASESCAN_API_KEY}", url = "https://api.basescan.org/api" }
    detector
  • low Exfiltration net-credential-use foundry.toml:17
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    base_sepolia = { key = "${BASESCAN_API_KEY}", url = "https://api-sepolia.basescan.org/api" }
    detector
  • low Secrets in code secret-high-entropy-token PLAYERS.md:3
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Contract**: `0xA3…aF6` on Base
    quoted
  • low Secrets in code secret-high-entropy-token PLAYERS.md:35
    High-entropy token-like string (may be an id, hash or a credential)
    cast send 0xA3…aF6 "betHigher()" \
  • low Secrets in code secret-high-entropy-token PLAYERS.md:41
    High-entropy token-like string (may be an id, hash or a credential)
    cast send 0xA3…aF6 "betLower()" \
  • low Secrets in code secret-high-entropy-token PLAYERS.md:56
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "to": "0xA3…aF6",
    quoted
  • low Secrets in code secret-high-entropy-token PLAYERS.md:73
    High-entropy token-like string (may be an id, hash or a credential)
    cast call 0xA3…aF6 \
  • low Secrets in code secret-high-entropy-token README.md:29
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | DailyTempMarket | `0xA3…aF6` |
    table
  • low Secrets in code secret-high-entropy-token README.md:30
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | SensorNet | `0xf8…Ee0` |
    table
  • low Exfiltration read-dotenv README.md:47
    Reads a .env file
    source .env
  • low Secrets in code secret-high-entropy-token SKILL.md:12
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Address**: `0xA3…aF6`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:30
    High-entropy token-like string (may be an id, hash or a credential)
    cast call 0xA3…aF6 \
  • low Secrets in code secret-high-entropy-token SKILL.md:49
    High-entropy token-like string (may be an id, hash or a credential)
    cast call 0xA3…aF6 "yesterdayTemp()(int256)" --rpc-url https://mainnet.base.org
  • low Secrets in code secret-high-entropy-token SKILL.md:52
    High-entropy token-like string (may be an id, hash or a credential)
    cast call 0xA3…aF6 "bettingOpen()(bool)" --rpc-url https://mainnet.base.org
  • low Secrets in code secret-high-entropy-token SKILL.md:55
    High-entropy token-like string (may be an id, hash or a credential)
    cast call 0xA3…aF6 "higherPool()(uint256)" --rpc-url https://mainnet.base.org
  • low Secrets in code secret-high-entropy-token tempmarket.js:28
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const CONTRACT_ADDRESS = '0xA3…aF6';
    quoted

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (Garden Temp Market (GTM) Skill) differs from the folder (prediction-market)
  • 100Tools and files. No external tools needed
  • 100Steps. 22 steps
  • 100Execution cost. Instruction body is 1421 tokens
  • 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 60: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (8 code blocks)

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