skills
anthropics
Public repository for Agent Skills
REVIEW SCORECARD
✓ 无Risky检出 · 自动化扫描结果仅供参考,非官方背书
AI DEEP REVIEW
A well-evidenced, actively maintained agent-skill plugin with rigorous self-evaluation, worth installing for trap-heavy
README cites a CI checks badge, 15 eval rounds with 260+ agent runs, committed transcripts, and blind LLM judges that verify by diffing and executing rather than reading reports.
No download-and-execute or plaintext secrets are shown, and the method explicitly adds an authorization gate after an observed unauthorized staging deploy, though the install command pulls a marketplace plugin whose internals are not visible here.
Targets a real and common pain point (agents silently 'fixing' correct code, false completion claims, weak executors) with measured lift on traps, while honestly reporting null results on ordinary small tasks.
Last updated 2026-07-15, not archived, versioned at plugin v1.4.0, and backed by an ongoing eval log spanning 15 rounds.
README explains the think/act/prove/grow philosophy, the loop diagram, install command, and links to skill files and eval cases, but the excerpt is truncated mid-sentence and full usage guidance is only partially visible.
Generated by AI after reading the project README, as a decision aid; neutral scores are given when information is thin. Not an official endorsement.
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前往仓库INSTALL REFERENCE
/plugin marketplace add Sahir619/fable-methodThis command comes from an explicit install reference in the README and is provided for reference only — it is never auto-executed by a DSH host.
PROJECT TOPICS
VALIDATION LADDER
FAQ
The Fable Workflow: how Claude Fable 5 worked, distilled into skills any model can run, with the eval that keeps it honest. Think / act / prove.
fable-method has 2,283 stars and 327 forks on GitHub, last updated 2026-07-15.
fable-method is distributed under the MIT license.
fable-method is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
System reads GitHub Topics first, then compares against the in-site category dictionary and word-root rules. Current match:agent-skills。