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Wikiskill Evolve

Community
ashutoshsinghpr7
wikiskill-evolve

Run the WikiSkill self-evolution loop (arXiv 2608.27454) on a Hermes workspace — raw→maintainer→proposer→gate with strict R_val > R_best gating.

Overview

Publisherashutoshsinghpr7
Repositorywikiskill
Skill namewikiskill-evolve
Stars
281
Forks
26
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ashutoshsinghpr7 on GitHub. Read the source before you install it.

Installation

Install the Wikiskill Evolve AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ashutoshsinghpr7/wikiskill/tree/main/skills/wikiskill-evolve
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ashutoshsinghpr7/wikiskill.git /tmp/wikiskill
mkdir -p .claude/skills
cp -r /tmp/wikiskill/skills/wikiskill-evolve .claude/skills/wikiskill-evolve
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wikiskill Evolve in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wikiskill Evolve on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wikiskill Evolve is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

WikiSkill Evolve

Run Google's WikiSkill evolution loop (arXiv:2608.27454) — a faithful implementation with Hermes as the reference backend. The agent evolves its own skills: raw sessions → a maintainer distills failure patterns into a persistent wiki → a proposer writes a candidate skill → a validation gate accepts it only if R_val > R_best (git rollback otherwise).

When to use

  • You want an agent's own experience (traces) turned into reusable skills
  • You want to test whether a candidate skill actually helps, with statistics instead of vibes
  • You're running the paper's protocol on your own tasks

Install

bash
pip install wikiskill          # Python ≥ 3.10; works with Hermes, Claude Code

Run the loop

bash
wikiskill init myws                        # workspace + auto-graded bench
wikiskill evolve myws --iters 3            # train → maintain → propose → gate
wikiskill status myws                      # baseline, r_best, skill state
wikiskill compare wsA wsB --iters 5        # paired exact-binomial comparison
wikiskill transfer src dst                 # copy accepted skills to another ws

Reading the output

  • runs/state.json — baseline (S₀ on val), r_best, next_iter
  • wiki/log.md — every maintenance/proposal/gate decision with evidence
  • wiki/patterns/ — distilled failure patterns (the raw material)
  • wiki/skill-impact.md — rejected proposals stay visible (paper requirement)
  • Gate verdicts: ACCEPTED (R_val > R_best, git commit), REJECTED (rolled back), no_action (proposer declined — a valid outcome)

Backends

bash
wikiskill init myws --backend claude       # Claude Code as the worker

Hermes is the reference backend; Claude Code ships in the box; codex/opencode are on the roadmap. All speak open SKILL.md, so evolved skills transfer.

Honest-expectation notes

  • Each iteration costs ~$0.09 on free-tier models (gemini-lite class) — turn budgets and --max-turns bound the spend
  • A weak model may produce no_action iterations — that's the gate working, not a failure; skill accumulation needs a reasonably strong proposer
  • The gate has rejected harmful skills in live runs — a rejection is a win

Frequently asked questions

What does the Wikiskill Evolve AI skill do?

Run the WikiSkill self-evolution loop (arXiv 2608.27454) on a Hermes workspace — raw→maintainer→proposer→gate with strict R_val > R_best gating.

Why use Wikiskill Evolve on TypingMind?

Because you install it once and use it with any model. Wikiskill Evolve is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wikiskill Evolve in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ashutoshsinghpr7/wikiskill/tree/main/skills/wikiskill-evolve. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Wikiskill Evolve?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wikiskill Evolve?

As many as you like. As long as a model supports skills, you can use Wikiskill Evolve with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wikiskill Evolve AI skill free?

Yes. It is published on GitHub by ashutoshsinghpr7 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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