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AF ibkr-autonomous-trader

Autonomous paper trading research agent for Interactive Brokers (IBKR). Use this skill whenever the user wants to connect to IBKR, execute trades, manage positions, analyze strategies, run paper trading workflows, backtest signals, or build any automated trading system with TWS or IBKR Gateway. Triggers on: "trade", "IBKR", "Interactive Brokers", "paper trading", "order execution", "position management", "quant strategy", "bracket order", "stop loss", "ib_insync", or any mention of automated trading. Always use this skill for trading-related tasks — even exploratory ones.

ClawHub Agent Skills author: player-1101 v1.0.0 MIT-0 17 files body ≈ 1 580 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 34/100 · Will not run — References files that are not bundled: references/indicators.md

ProcedureInfrastructureAI 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
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
F
34/100
Will not run
References files that are not bundled: references/indicators.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. 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 · 0

✓ No critical or high findings

Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/indicators.md

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: references/indicators.md
  • 0Tools and files. 1 referenced file(s) missing: references/indicators.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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (ibkr-autonomous-trader) differs from the folder (ibkr-auto-trade)
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 47 steps
  • 100Execution cost. Instruction body is 1580 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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

  • +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
  • +5Description quotes 8 example trigger phrases
  • +3Description length 578: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 47 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 7 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

External checks

ClawHub: suspicious
This is a legitimate IBKR trading skill, but it needs Review because it can affect real brokerage positions and has under-scoped automatic trading controls.
LLM: suspicious (high) · VirusTotal: benign · 28 May 2026