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AF prediction-market-trader

Prediction market trading toolkit for Kalshi. Includes API authentication (RSA-PSS signatures), market scanning, Sofascore tennis de-vigging, true probability calculation, Kelly criterion sizing, and order execution. Use when trading on Kalshi, analyzing prediction market odds, calculating expected value, de-vigging bookmaker odds, sizing bets with Kelly criterion, or building prediction market bots.

ClawHub Agent Skills author: merjua14 v1.0.0 MIT-0 7 files body ≈ 877 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 40/100 · Will not run — References files that are not bundled: scripts/trade.js, scripts/portfolio.js

IntegrationInfrastructuretype 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
92/100
safety, quality, tests
Safety 60%
99
Quality 40%
82
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: scripts/trade.js, scripts/portfolio.js
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-private-key SKILL.md:29
    Private key material (placeholder value)
    export KALSHI_PRIVATE_KEY="-----BEGIN PRIVATE KEY----- …"
    placeholder

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/trade.js
  • warning missing-ref reference to a missing file: scripts/portfolio.js

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: scripts/trade.js, scripts/portfolio.js
  • 0Tools and files. 2 referenced file(s) missing: scripts/trade.js, scripts/portfolio.js
  • 0Result and completion. Does not say what the result is
  • 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. 2 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 22 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 877 tokens

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 403: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: suspicious
This is a disclosed Kalshi trading toolkit, but it can use real account credentials to place or cancel live orders without enough built-in safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026