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Releases: ahmdd4vd/Fable5res

v1.2.0 — skills.sh Compatibility (YAML frontmatter)

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@ahmdd4vd ahmdd4vd released this 16 Jun 15:31

Fable 5 Skills v1.2.0 — skills.sh Compatibility

The 5 Fable 5 skills are now installable via the open skills CLI (22k+ stars) and discoverable on skills.sh — the open agent skills directory by Vercel.

🆕 What's New

YAML frontmatter on all SKILL.md files

All 5 SKILL.md files now have proper YAML frontmatter (name + description), making them compatible with the Agent Skills specification used by the skills CLI:

---
name: fable-think
description: Think like Fable 5 — natural, flowing, purposeful reasoning...
---

This enables automatic discovery by npx skills add ahmdd4vd/Fable5res --list.

Install via skills.sh

You can now install any of the 5 Fable 5 skills into 70+ supported coding agents using the skills CLI:

# List available skills
npx skills add ahmdd4vd/Fable5res --list

# Install a specific skill (e.g. fable-debug) into Claude Code + Cursor
npx skills add ahmdd4vd/Fable5res --skill fable-debug -a claude-code -a cursor

# Install all 5 skills into all detected agents
npx skills add ahmdd4vd/Fable5res --all

The skills CLI auto-detects which coding agents you have installed and installs the SKILL.md files into the correct paths for each.

Supported agents (70+)

Claude Code, Cursor, Cline, Codex, Windsurf, Continue, Gemini CLI, GitHub Copilot, OpenCode, Roo Code, Goose, Amp, Replit, Trae, Kimi Code CLI, Qwen Code, AiderDesk, AstrBot, Augment, CodeBuddy, Code Studio, Command Code, Cortex Code, Crush, Deep Agents, Devin, Droid, Firebender, ForgeCode, Hermes, inference.sh, Jazz, Junie, Kilo Code, Kiro CLI, Kode, Lingma, MCPJam, Mistral Vibe, Moxby, Mux, Neovate, Ona, OpenHands, Pi, Pochi, PromptScript, Qoder, Reasonix, Rovo Dev, Tabnine CLI, Terramind, Tinycloud, Zencoder, Zenflow, and more.

✅ Verified

Skills CLI discovery test

$ npx skills add ahmdd4vd/Fable5res --list
Source: https://github.com/ahmdd4vd/Fable5res.git
Repository cloned
Found 5 skills

Available Skills:
  - fable-architect
  - fable-code
  - fable-debug
  - fable-think
  - fable-verify

Static skill verification (unchanged)

  • Total claims verified: 31
  • Passed: 31
  • Failed: 0
  • Pass rate: 100.00%

MiniMax M3 emulation (unchanged, Round 9)

  • T1 reasoning: 100.00% (11/11) ✅
  • T2 debug: 100.00% (9/9) ✅
  • T3 code: 100.00% (8/8) ✅
  • T4 verify: 100.00% (10/10) ✅
  • T5 architect: 100.00% (8/8) ✅
  • T6 self_correct: 100.00% (6/6) ✅
  • T7 loop: 100.00% (7/7) ✅
  • Average: 100.00% (Grade A)

📦 Install

Option 1: Original CLI (npm)

npx fable5-skills init

Option 2: skills CLI (skills.sh)

npx skills add ahmdd4vd/Fable5res --all

🔗 Links

v1.1.0 — AGPL-3.0 + README Redesign

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@ahmdd4vd ahmdd4vd released this 16 Jun 14:55

Fable 5 Skills v1.1.0 — AGPL-3.0 + README Redesign

⚠️ Breaking license change: this release re-licenses fable5-skills from MIT to AGPL-3.0-only to comply with the upstream dataset's license. See below for details.

🔄 License Change (breaking)

The source dataset Kuberwastaken/Fable-5-traces is licensed under AGPL-3.0. Because fable5-skills is derived from that dataset, this package inherits the AGPL-3.0 copyleft starting from v1.1.0.

Aspect v1.0.0 v1.1.0
License MIT AGPL-3.0-only
Network use clause No Yes (Section 13)
Enterprise-friendly Yes Requires dual-license discussion
Source disclosure on modification No Yes

What this means for users

  • ✅ You may use, study, modify, and redistribute this package.
  • ✅ You may build network services on top of it.
  • ⚠️ If you modify or redistribute (including as a network service), you must publish your source code under AGPL-3.0.
  • For enterprise use that cannot tolerate AGPL, contact the maintainer to discuss a dual-license arrangement.

🎨 README Redesign

Complete visual overhaul — modern, professional, elegant:

  • Centered hero header with title, tagline, and navigation links.
  • Modern badge row: npm version, downloads, AGPL license, Node engine, 31/31 verification, Grade A.
  • Visual benchmark bars for all 7 MiniMax M3 test scenarios (ASCII progress bars).
  • Iterative improvement curve table showing rounds 1–9 (80.82% → 100.00%).
  • Collapsible detail sections for the behavioral profile:
    • Chain-of-thought structure
    • Linguistic signature
    • Tool usage & verification
    • Session-level patterns
  • Clean tables with proper alignment for skills list, CLI flags, and benchmark results.
  • Removed all third-party personal attributions per maintainer request.

✅ Verified (unchanged from v1.0.0)

Static skill verification

  • Total claims verified: 31
  • Passed: 31
  • Failed: 0
  • Pass rate: 100.00%

MiniMax M3 emulation (Round 9 — final)

Test Score Status
T1 reasoning 100.00% (11/11)
T2 debug 100.00% (9/9)
T3 code 100.00% (8/8)
T4 verify 100.00% (10/10)
T5 architect 100.00% (8/8)
T6 self_correct 100.00% (6/6)
T7 loop 100.00% (7/7)
Average 100.00% Grade A

📦 Install

npx fable5-skills init

Default installs into .claude/skills/ (Claude Code layout). Use --agent=cursor|cline|windsurf|continue|generic for other layouts.

🔗 Links

v1.0.0 — Grade A (100%) Release

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@ahmdd4vd ahmdd4vd released this 16 Jun 14:42

Fable 5 Skills v1.0.0 — Grade A (100%) Release

AI reasoning skills distilled from 4,665 real Claude Fable 5 chain-of-thought traces, mathematically tuned and validated.

🎯 Highlights

  • 5 skills (fable-think, fable-code, fable-debug, fable-architect, fable-verify) — one SKILL.md each, drop-in for any agent that reads markdown skills.
  • 31/31 quantified claims verified against the source dataset (100% pass rate).
  • 9 iterative test rounds against MiniMax M3, final score 100.00% (Grade A).
  • CLI installer (npx fable5-skills init) drops the skills into the right directory for your agent in one command.
  • Multi-agent support: Claude Code, Cursor, Cline, Windsurf, Continue, or generic ./skills.

📦 Install

npx fable5-skills init

Default installs into .claude/skills/ (Claude Code layout). Use --agent=cursor|cline|windsurf|continue|generic for other layouts.

🧠 The 5 Skills

Skill Purpose Core Loop
fable-think Foundational per-turn reasoning ACKNOWLEDGE → OBSERVE → EXECUTE → VERIFY
fable-code Writing & editing code Read → Understand → Plan → Write → Verify → Iterate
fable-debug Root cause analysis OBSERVE → INVESTIGATE → HYPOTHESIZE → ROOT CAUSE → FIX → VERIFY
fable-architect System design UNDERSTAND → DESIGN → VERTICAL SLICE → VERIFY → ITERATE
fable-verify Quality assurance 5-phrase verification vocabulary

📊 Benchmark Results

Static skill verification (claims vs. actual data)

  • Total claims verified: 31
  • Passed: 31
  • Failed: 0
  • Pass rate: 100.00%

MiniMax M3 emulation (Round 9 — final)

Test Score Status
T1 reasoning 100.00% (11/11)
T2 debug 100.00% (9/9)
T3 code 100.00% (8/8)
T4 verify 100.00% (10/10)
T5 architect 100.00% (8/8)
T6 self_correct 100.00% (6/6)
T7 loop 100.00% (7/7)
Average 100.00% Grade A

🔬 Source Dataset

Distilled from Kuberwastaken/Fable-5-traces — 4,665 rows, 60 sessions of real Claude Fable 5 chain-of-thought traces.

🚀 Quick Start

# Install into Claude Code layout (.claude/skills/)
npx fable5-skills init

# Install into Cursor layout (.cursor/skills/)
npx fable5-skills init --agent=cursor

# Install a single skill
npx fable5-skills init --only=fable-debug

# Verify package integrity
npx fable5-skills doctor

⚖️ License

MIT — see LICENSE.

🙏 Acknowledgements


npm: https://www.npmjs.com/package/fable5-skills
GitHub: https://github.com/ahmdd4vd/Fable5res