LLM Gold-Bound Failure Check

LLM Gold-Bound Failure Check is an AI Engineering skill for Claude Code, published by kennethkhoocy in applied-micro-skills.

48 stars0 forkson kennethkhoocy/applied-micro-skillsAdded 2026/08/11Repository updated 2026/07/22

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applied-microeconomicsclaude-codeclaude-skillscodexcodex-skillsempirical-research

Install in seconds

Install LLM Gold-Bound Failure Check

Copy LLM Gold-Bound Failure Check into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/llm-gold-bound-failure-check ~/.claude/skills/llm-gold-bound-failure-check

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/kennethkhoocy/applied-micro-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: plugins/applied-micro/skills/llm-gold-bound-failure-check/SKILL.md in kennethkhoocy/applied-micro-skills
Installs to: ~/.claude/skills/llm-gold-bound-failure-check
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What LLM Gold-Bound Failure Check does

Check if an LLM classifier's validation failure is gold-bound before attempting prompt fixes, and use a gated pilot design to verify improvements when not gold-bound.

LLM Gold-Bound Failure Check is cataloged under AI Engineering on DirSkills. LLM Gold-Bound Failure Check comes from a repository tagged applied-microeconomics, claude-code, claude-skills, codex and codex-skills.

Documentation

README

Excerpt

LLM Gold-Bound Failure Check

Problem

When an LLM scoring pipeline over-predicts one label, the reflex fix is a prompt clarification ("score positive ONLY when..."). But if the gold standard itself does not separate the texts you want excluded from the texts it labels positive, the revision removes true and false positives together. The pilot fails, the spend is wasted, and — worse — an un-gated adoption would have silently destroyed recall in production.

Context / Trigger Conditions

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LLM Gold-Bound Failure Check

What else does kennethkhoocy publish alongside LLM Gold-Bound Failure Check?
LLM Gold-Bound Failure Check is one of 25 skills that DirSkills catalogs from kennethkhoocy/applied-micro-skills, the repository it ships in. Its siblings there include Adversarial Empirical Review, Annotator Input Parity Check and AsyncOpenAI Concurrency Fix. Each one is a separate skill with its own page in this directory, installs the same way LLM Gold-Bound Failure Check does, and is maintained by kennethkhoocy in that same repository. The rest of the collection is listed on the kennethkhoocy/applied-micro-skills page.
How does LLM Gold-Bound Failure Check compare to other AI Engineering skills?
LLM Gold-Bound Failure Check ranks #2282 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LLM Gold-Bound Failure Check against them. Open each page to compare what they document and how they install.