Agent skill

Probability Mean Reversion

by Superior-Trade in Superior-Trade/superior-skills

A skill your agent uses when a Polymarket outcome appears to overreact and then stall away from recent filled-price range.

MITAuto-check passedBusiness, Finance & HR

Install Probability Mean Reversion

skills CLI
$ npx skills add Superior-Trade/superior-skills --skill probability-mean-reversion -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Superior-Trade/superior-skills probability-mean-reversion --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/probability-mean-reversion .claude/skills/probability-mean-reversion && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
probability-mean-reversion
GitHub stars
215
Token cost
~623 tokens
SKILL.md length
288 words
Files
1
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when a Polymarket outcome appears to overreact and then stall away from recent filled-price range.

  • Works in 4 steps: Real information shocks rarely… → Markets near resolution can trend… → Low liquidity can create fake extremes. → …
  • A Polymarket outcome appears to overreact and then stall away from recent filled-price range
  • SKILL.md covers When to use, What the agent should look for, Backtest fit with filled data and Strategy logic, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Probability Mean Reversion is an agent skill from Superior-Trade/superior-skills. Use when a Polymarket outcome appears to overreact and then stall away from recent filled-price range.

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Trading and backtesting. It works with Polymarket. The repository describes itself as: Open agent skills and tool schemas for Superior Trade — build, backtest, and deploy trading strategies on Hyperliquid. The licence is MIT.

When your agent uses it

  • A Polymarket outcome appears to overreact and then stall away from recent filled-price range
  • Tasks that involve Trading and backtesting

Example prompts

  • “/probability-mean-reversion”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Real information shocks rarely mean-revert.
  2. Markets near resolution can trend cleanly to 0 or 1.
  3. Low liquidity can create fake extremes.
  4. Backtests may look strong when spread and order-book pressure are ignored.

What it can do on your machine

Read from SKILL.md and the folder at commit 9d41db5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Probability Mean Reversion loads about 623 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 288 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~623

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Superior-Trade/superior-skills at commit 9d41db5, republished under its MIT licence (© Superior-Trade). 288 words, ~623 tokens.

Download SKILL.mdSave it as .claude/skills/probability-mean-reversion/SKILL.md (or your agent's skills folder).
name
probability-mean-reversion
description
Use when a Polymarket outcome appears to overreact and then stall away from recent filled-price range.
metadata.version
0.1.0
metadata.updated
2026-06-17

Strategy: Polymarket · Probability Mean Reversion

When to use

Use this when someone asks for fade, overreaction, mean reversion, range trading, panic buy, euphoria selloff, or probability jumps with weak follow-through.

What the agent should look for

  • Canonical Polymarket market from GET /context/markets?venue=polymarket.
  • A stable market with enough historical fills.
  • Probability significantly far from a rolling median.
  • Weak follow-through after the jump.
  • No fresh catalyst changing the thesis.
  • Enough time before resolution to allow drift back.

Backtest fit with filled data

Moderate fit. Filled TradeTick history can test whether probability moves have a measurable reversion pattern, while using actual fills as the execution proxy.

Limit: backtests cannot validate resting liquidity, spread paid, or what is missed in the maker queue.

Strategy logic

Enter when the outcome trades below a lower band and exit near the rolling median. If your implementation permits, do the inverse for above-band conditions when downside overextension appears.

Nautilus strategy shape

  • Keep a rolling window of trade prices.
  • Compute median and deviation thresholds.
  • Enter only after sufficient tick history is collected.
  • Exit on median reversion or max holding ticks.

Example strategyConfig

json
{
  "window_ticks": 40,
  "entry_deviation": 0.08,
  "exit_deviation": 0.02,
  "order_size": 10,
  "max_holding_ticks": 80
}

Iteration knobs

KnobEffect
window_ticksLarger windows produce a smoother baseline.
entry_deviationHigher values wait for stronger overreactions.
exit_deviationLower values demand tighter reversion before exit.
max_holding_ticksPrevents stale positions through stale conditions.

Failure modes

  1. Real information shocks rarely mean-revert.
  2. Markets near resolution can trend cleanly to 0 or 1.
  3. Low liquidity can create fake extremes.
  4. Backtests may look strong when spread and order-book pressure are ignored.

User-facing framing

"This is an overreaction fade. It works best in noisy markets without new decisive information. I’ll backtest it on filled prices first, then verify trade frequency and liquidity before suggesting live use."

© Superior-Trade, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/probability-mean-reversion of Superior-Trade/superior-skills.

Open the folder on GitHubat commit 9d41db5

Compare with similar skills

Probability Mean Reversion next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Probability Mean Reversion compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Probability Mean Reversion this skillSuperior-Trade/superior-skills215—~623Automated safety check: PassMIT
Digital Oraclekomako-workshop/digital-oracle878—~5.9kAutomated safety check: PassMIT
Polyclawchainstacklabs/polyclaw3591 repos~2kAutomated safety check: PassApache-2.0
Polymarket TradingBlockRunAI/ClawRouter6.6k—~1.4kAutomated safety check: PassMIT
Dr Manhattanguzus/dr-manhattan204—~2kAutomated safety check: PassApache-2.0
Fintoolsecond-state/fintool316—~5.9kAutomated safety check: PassNone

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Works with

Questions about Probability Mean Reversion

What does Probability Mean Reversion do?

A skill your agent uses when a Polymarket outcome appears to overreact and then stall away from recent filled-price range. Probability Mean Reversion is an agent skill from Superior-Trade/superior-skills. Use when a Polymarket outcome appears to overreact and then stall away from recent filled-price range.

When should I use Probability Mean Reversion?

Probability Mean Reversion fits situations like: A Polymarket outcome appears to overreact and then stall away from recent filled-price range; tasks that involve Trading and backtesting.

How do I install Probability Mean Reversion in Claude Code?

Run `npx skills add Superior-Trade/superior-skills --skill probability-mean-reversion -a claude-code`. Or copy the skill folder (skills/probability-mean-reversion in Superior-Trade/superior-skills) into .claude/skills/probability-mean-reversion in your project. Claude Code loads it when a task matches its description.

How do I install Probability Mean Reversion in Codex?

Run `npx skills add Superior-Trade/superior-skills --skill probability-mean-reversion -a codex`. Or copy the skill folder (skills/probability-mean-reversion in Superior-Trade/superior-skills) into .agents/skills/probability-mean-reversion in your project. Codex loads it when a task matches its description.

Can I use Probability Mean Reversion in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Superior-Trade/superior-skills --skill probability-mean-reversion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/probability-mean-reversion, .gemini/skills/probability-mean-reversion, .github/skills/probability-mean-reversion and .opencode/skills/probability-mean-reversion in your project.

What does Probability Mean Reversion need to run?

SKILL.md names no scripts, command-line tools or credentials: Probability Mean Reversion is instructions for the agent only.

Does Probability Mean Reversion access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Probability Mean Reversion safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Probability Mean Reversion use?

Probability Mean Reversion is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Probability Mean Reversion use?

About 623 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Probability Mean Reversion?

Skills that share tags, products or a category with Probability Mean Reversion: Digital Oracle (komako-workshop/digital-oracle, 878 stars), Polyclaw (chainstacklabs/polyclaw, 359 stars), Polymarket Trading (BlockRunAI/ClawRouter, 6.6k stars) and Dr Manhattan (guzus/dr-manhattan, 204 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Probability Mean Reversion?

Superior-Trade (a GitHub organization) maintains it in Superior-Trade/superior-skills, which has 215 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on September 10, 2026.

Source: Superior-Trade/superior-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.