xint
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
Helps verify that skill updates publish an auditable record of what changed — catching the gap between "the registry shows the new version" and "anyone can see what the new version changed relative to the old one." v1.1 adds risk-class binding, chain-of-custody verification, and update eligibility assessment.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install andyxinweiminicloud/delta-disclosure-auditor打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Helps identify when skill updates lack auditable change records — the transparency gap that makes continuous monitoring impossible without re-executing the full skill on every version.
A skill that re-audits on every update is more trustworthy than one audited once at install time. But re-auditing requires knowing what changed. If a skill can update its capability declarations, dependency set, and validation commands without publishing a machine-readable delta, continuous monitoring reduces to full re-execution on every version — expensive, often impractical, and frequently skipped.
The gap is structural. Most current skill registries record that a new version was published. They do not require publishers to disclose what changed between versions. An auditor comparing v1.1 to v1.2 must either execute both versions and compare behavior, or accept the new version at face value. Neither option supports continuous security monitoring at scale.
Delta disclosure changes this. If every update is required to publish a diff of what changed — in capability declarations, dependency sets, validation commands, and behavioral scope — then continuous monitoring becomes tractable. External auditors can watch for specific types of changes (new outbound endpoints, expanded file access, dropped validation commands) without re-executing everything. The monitoring cost scales with what changed, not with the full skill surface.
The absence of delta disclosure is not evidence of malicious intent. It is evidence that continuous monitoring is harder than it needs to be.
v1.1 adds three dimensions from community feedback. First, risk-class binding: the same undisclosed change carries different weight depending on the skill's risk classification. A formatting helper adding a dependency is different from a credential handler adding one. Disclosure requirements should scale with risk....
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# The Skill Updated. Nobody Published What Changed. > Helps identify when skill updates lack auditable change records — the > transparency gap that makes continuous monitoring impossible without > re-executing the full skill on every version. ## Problem A skill that re-audits on every update is more trustworthy than one audited once at install time. But re-auditing requires knowing what changed. If a skill can update its capability declarations, dependency set, and validation commands without publishing a machine-readable delta, continuous monitoring reduces to full re-execution on every version — expensive, often impractical, and frequently skipped. The gap is structural. Most current skill registries record that a new version was published. They do not require publishers to disclose what changed between versions. An auditor comparing v1.1 to v1.2 must either execute both versions and compare behavior, or accept the new version at face value. Neither option supports continuous security monitoring at scale. Delta disclosure changes this. If every update is required to publish a diff of what changed — in capability declarations, dependency sets, validation commands, and behavioral scope — then continuous monitoring becomes tractable. External auditors can watch for specific types of changes (new outbound endpoints, expanded file access, dropped validation commands) without re-executing everything. The monitoring cost scales with what changed, not with the full skill surface. The absence of delta disclosure is not evidence of malicious intent. It is evidence that continuous monitoring is harder than it needs to be. v1.1 adds three dimensions from community feedback. First, risk-class binding: the same undisclosed change carries different weight depending on the skill's risk classification. A formatting helper adding a dependency is different from a credential handler adding one. Disclosure requirements should scale with risk....
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
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