Audit and tighten skill package frontmatter, resources, validators, outputs, and packaging.
npx skills add https://github.com/ginmp8/rhapsodia --skill skill-hardening
Please help me install this Agent Skill. Skill: skill-hardening Source: https://github.com/ginmp8/rhapsodia/tree/main/skills/skill-hardening Command: npx skills add https://github.com/ginmp8/rhapsodia --skill skill-hardening
Harden existing ChatGPT or Agent skill packages by auditing and tightening their frontmatter, resources, validators, outputs, and packaging to produce ready-to-ship artifacts.
Audit the target skill folder and apply bounded hardening to produce a validated skill.zip.
High-intent search queries and answers about installing and using this skill.
To harden a ChatGPT skill package, audit and tighten its frontmatter, resources, validators, output contracts, and gating logic. This process ensures explicit mode support and deterministic packaging via scripts, references, and assets to produce a ready-to-ship artifact.
Skill package hardening is the process of auditing and tightening an existing agent skill's SKILL.md, validators, and packaging. You need it for skill repair, maturity review, or validation workflows to ensure your reusable skill package is ready for delivery.
You audit and tighten skill frontmatter and validators by reviewing the target skill folder and applying bounded hardening. This ensures a defined output contract, explicit mode support, and gating logic to produce a validated skill.zip.
Yes, skill hardening works with existing Agent skills by auditing agents/openai.yaml, references, scripts, and assets/templates. It validates the skill package to ensure deterministic packaging and reproducible audits for reusable skill delivery.
The best way to ensure deterministic packaging for a reusable skill package is to apply bounded hardening using scripts under scripts/ and templates under assets/templates/. This guarantees reproducible audits and a validated skill.zip delivery.
Your ChatGPT skill package needs an output contract and gating logic to ensure explicit mode support and deterministic behavior. Hardening these elements during maturity review prevents undefined outputs and ensures the skill package is ready for delivery.
ginmp8Audit, validate, and harden ChatGPT or agent skills across multiple modes.
bahayonghangCoordinate AI agent collaboration with Codex CLI for code implementation and review.
openyakExtract analyst knowledge into data-context SKILL.md and reference files.
ImaginerLabsUnpack, edit, and repack PPTX files with OOXML validation.
