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Updated 1w ago

by bonginkan

fairy_tale

Fable/Mythos-informed workflow augmentation for agent skills and plugins

  • Active — Updated in the last 14 days
View on GitHub (opens in a new tab)

20 GitHub stars (20)

+2 in 23 days

Stars gained per day · daily snapshots since Sep 30
Stars gained per day, Sep 30 to Oct 23: +2 in total; the busiest day was Oct 10 with +1 stars.Oct 1: 0 starsOct 2: 0 starsOct 3: 0 starsOct 4: 0 starsOct 5: 0 starsOct 6: 0 starsOct 7: 0 starsOct 8: 0 starsOct 9: 0 starsOct 10: +1 starsOct 11: 0 starsOct 12: 0 starsOct 13: 0 starsOct 14: 0 starsOct 15: 0 starsOct 16: 0 starsOct 17: 0 starsOct 18: 0 starsOct 19: 0 starsOct 20: 0 starsOct 21: +1 starsOct 22: 0 starsOct 23: 0 stars
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  • 4 skills (4 skills found in its SKILL.md files)
  • 3 forks (3 forks)
  • 1w ago last update (Last updated 1w ago)

Install

Skills CLI

npx skills add bonginkan/fairy_tale

Asks which skills and agents to install. Just one: npx skills add bonginkan/fairy_tale --skill fairy-tale-benchmark-feedback — add -g for every project.

Claude Code

git clone https://github.com/bonginkan/fairy_talecp -r "fairy_tale/skills/fairy-tale-benchmark-feedback" ~/.claude/skills/

Copies the fairy-tale-benchmark-feedback skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.

Plugin

/plugin marketplace add bonginkan/fairy_tale

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • fairy-tale-benchmark-feedback

    Apply measured benchmark feedback from SWE-Bench Pro, HLE-style closed-ended tasks, and defensive ExploitBench runs: classify misses, add narrow reusable rules, prune contradictions, and retry held-out samples without benchmark-specific hardcoding.

    skills/fairy-tale-benchmark-feedback/SKILL.md on GitHub (opens in a new tab)

  • fairy-tale-legal-feedback

    Apply evaluated legal benchmark feedback, closure sweeps, and Fairy Fusion review to reduce one-miss and large-collapse failures in legal drafting, review, issue spotting, and form/calculation tasks.

    skills/fairy-tale-legal-feedback/SKILL.md on GitHub (opens in a new tab)

  • fairy-tale

    Fable/Mythos harness for E3 minimum-sufficient execution, loop/spiral engineering, Helix blocker triage, double-helix learning loops, evolutionary spirals, job automation, agent handoffs, silent-loop resume, do-not-disturb windows, usage-aware load balancing, closure checks, negative-space discovery, excess/redundancy/legacy-surface review, finance completeness, e2e completion, GUI dogfood QA, cr…

    skills/fairy-tale/SKILL.md on GitHub (opens in a new tab)

  • japanese-wordplay-humor-detection

    日本語の言葉遊び（縦読み・折句・ダジャレ・回文・アナグラム・もじり・替え歌）と日本的ユーモア（ボケ/ツッコミ・天丼・緊張と緩和・パロディ・自虐等）を体系的に検出・分類する。「縦読みして」「この文に仕掛けある？」「ダジャレ拾って」「ユーモアを分析して」等で発動。抽出した読みが実在し有意であることを必ず verbatim で確認してから報告する。

    skills/japanese-wordplay-humor-detection/SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.