SKILLEMALL.ai

CC polymarket-weather-trader

Trade Polymarket weather markets using NOAA (US) and Open-Meteo (international) forecasts via Simmer API. Inspired by gopfan2's weather trading approach. Use when user wants to trade temperature markets, automate weather bets, check forecasts, or run weather-based strategies.

ClawHub Agent Skills author: Simmer.Markets v1.23.22 MIT-0 10 files · 4 scripts body ≈ 7 436 tokens Open the sourceclawhub.ai↗ analyzed 8 d ago

Trade Polymarket weather markets using NOAA (US) and Open-Meteo (international) forecasts via Simmer API.

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
95
Quality 40%
77
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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:137
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    - `WALLET_PRIVATE_KEY` — Polymarket wallet private key (the SDK signs orders client-side)

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7436 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 100, 156): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 6 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 70Execution cost. Instruction body is 7436 tokens
  • 85Steps. 72 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 32 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 276: enough signal without eating the budget
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 72 items
  • +4Has examples (5 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

In the sandbox Скрипты не запустились

The skill's scripts were run in a throwaway machine: no network, fake keys in the home directory, a tracer watching. We wrote down what they did. Reaching for the network or for secrets caps the technical grade at C; a quiet run adds no points.

Запущено 4 скрипта; каждому дали двадцать секунд, поддельный домашний каталог с ключами и сеть, в которой ничего нет.

Ни один не дошёл до работы — им не хватило зависимостей, аргументов или файлов. Это не отзыв о поведении: наблюдать было не за чем.

weather_trader.pyне запустился: ModuleNotFoundError: No module named 'simmer_sdk'
scripts/build_replay_forecast_archive.pyне запустился: build_replay_forecast_archive.py: error: the following arguments are required: --start, --end, --out
scripts/run_backtest_gate.pyне запустился: GATE FAIL: pinned tests are red. Verdict: FIX or KILL — no more capital.
scripts/status.pyне запустился: Error: simmer-sdk not installed. Run: pip install --upgrade simmer-sdk

26 Oct 2026

External checks

ClawHub: suspicious
This skill is mostly coherent with its trading purpose, but it needs review because it can place real-money trades and one advertised safeguard path can fail open.
LLM: suspicious (medium) · VirusTotal: · 18 Sept 2026