pm-paper-trade-ops
Skill466 starsChanged 34 days agoApache-2.0View on GitHub
Run, monitor, intervene in and archive paper trading after a strategy has passed backtesting.
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use this skill when the user asks to run paper trading or to check live behavior without real money.
- Very specific: line 20
Add --monitor for the live terminal view.
- Distinctive: line 39
Never use live credentials during paper trading.
- Distinctive: line 40
Every run must be replayable from its configuration (strategy ref, kwargs, duration, exchange).
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
PM Paper Trade Ops
Use this skill when the user asks to run paper trading or to check live behavior without real money.
Preconditions
- The strategy passes
oracle3 strategy validate ... --json. - There is at least one interpretable backtest or auto-tune result.
Steps
- Start paper trading
oracle3 paper run --exchange <polymarket|kalshi|solana|rss> --strategy-ref <strategy_ref> --strategy-kwargs-json '<json>' --duration <seconds> --json- Add
--monitorfor the live terminal view.
- Control the running engine
oracle3 trade status --jsonoracle3 trade state --jsonoracle3 trade pause --jsonoracle3 trade resume --jsonoracle3 trade swap --strategy-ref <strategy_ref> --strategy-kwargs-json '<json>' --jsonoracle3 trade stop --json
- Archive the results
- Save the key outputs to
data/research/<run_id>/paper/. - Include at least the configuration, a state snapshot and the end-of-run summary.
Hard rules
- On any anomaly,
pausefirst;resumeorstoponly after checking. - Never use live credentials during paper trading.
- Every run must be replayable from its configuration (strategy ref, kwargs, duration, exchange).
Other versions1 project uses a version of this.
Word for word · 1
- YichengYang-Ethan/oracle3-prediction-market-agent★ 437100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository14 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/llms.txtllms.txt
- llms.txtllms.txt
- pm-agent-strategy-authoringSkill
- pm-constraint-arbitrageSkill
- pm-data-discoverySkill
- pm-live-trade-opsSkill
- pm-paper-trade-opsSkill
- pm-quant-strategy-authoringSkill
- pm-agent-strategy-authoringSkill
- pm-constraint-arbitrageSkill
- pm-data-discoverySkill
- pm-live-trade-opsSkill
- pm-quant-strategy-authoringSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

