SKILLEMALL.ai

AD yotta-publish-guard

元守 —— 通用发布前守门(默认 YottaMeta 归属,可自定义为任意发布组织):check 聚合校验(full / github / self 三档模式,可聚合元安/元审/元信 verdict)+ pack(npm pack 无 pyc / 关键文件在包内)+ versions(package/SKILL frontmatter/SKILL 正文版本行/CHANGELOG/CLI 五件对齐)+ names(npm/GitHub/ClawHub 三通道查重)+ publish 命令封装(--channels / --github-only 渠道可选,默认 dry-run,--exec 执行,--force 显式跳过推送闸门;归属经 CLI 参数或环境变量自定义,缺省 YottaMeta 开箱即用)。触发:发布技能前、改完技能准备推 GitHub / npm / ClawHub 时、想批量核对版本或查重名称时;或用户说 元守 / 发布守门 / 发布前检查 / publish-guard / 推前检查 / 查重 / 版本对齐 等。边界(Do NOT trigger):不替用户做发布决策与人工审查;网络不可用时只降级提示、不伪造结果;不做技能内容开发(脚手架用元造 yotta-skill-creator,正文需人工开发);不持有、不读取任何平台凭据(发布鉴权由各平台 CLI 按使用者本机配置完成)。

ClawHub Agent Skills author: YottaMeta v0.4.1 MIT-0 17 files · 1 script body ≈ 1 108 tokens Open the sourceclawhub.ai analyzed 2 h ago

元守 —— 通用发布前守门(默认 YottaMeta 归属,可自定义为任意发布组织):check 聚合校验(full / github / self 三档模式,可聚合元安/元审/元信 verdict)+ pack(npm pack 无 pyc / 关键文件在包内)+ versions(package/SKILL…

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationGitHubWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 48/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 21 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 23 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1108 tokens
    • low 13 top-level sections: this looks like several domains in one skill

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 608: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 23 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    This is a disclosed publish-guard skill, but it needs Review because its publish execution path can run high-impact external commands and has an artifact-backed Windows command-injection risk.
    LLM: suspicious (high) · VirusTotal: · 13 Sept 2026