SKILLEMALL.ai

BC yotta-skills

元阁 -- 元阁全家技能的总编排策划 + 编排路由 + 一键安装器 + 技能盘点 + 运行时 hook 适配。路由层:--route / route_request 按需求摘要给出候选组合、调用顺序、角色、置信度、依据、已装/缺失状态与安装命令,只建议不自动安装;非元阁家族已装技能按 frontmatter description 机械匹配作并列候选(标注来源与未扫描状态,只读不自动调用);策划层:按场景给出「该组合哪几个元技能、组合强在哪、怎么组合使用(安装与调用均由用户确认后执行)」;安装层:一条命令把 YottaMeta 已发布的全部 yotta-* 技能装进指定智能体或目录(默认 --pin 锁死清单精确版本);盘点层:--inventory / --reindex 扫描本机已装技能生成/更新注册表,新装技能自动被发现(install/update 后自动 re-index,会话开工只建议跑本地 --reindex;更新检查走手动 --check 或后台 --check --scheduled);运行时适配层:hook capabilities / evaluate / bind / unbind 按宿主能力矩阵执行六个统一事件并留证降级,元信 before_install 已接入安装管线;自包含零依赖,不依赖任何元技能;MCP 按需加载且需用户确认后写入配置(可选:list_installed_skills/describe_skill/reindex/route_request,不常驻,未加载降级 CLI)。支持 --list 清单 / --route 路由 / install / update / update --check(只读检查)/ update --check --scheduled(后台周检)/ update --auto(家族自动更新)/ hook 适配 / --inventory / --reindex / --dry-run 预览 / --pin(默认)/ --range。触发:需要批量安装或更新元阁全家技能、按场景组合多个元技能、路由或判断该用哪些技能、盘点或查看本机已装技能、重扫技能注册表、给某个智能体或目录一次性铺齐 yotta-* 技能、评估宿主 hook 能力、预览安装清单、锁版本安装、或用户说 元阁/装全家/一次装齐/yotta-skills/install-all/更新全家/检查更新/自动更新/hook 适配/该用哪个技能/路由技能/盘点技能/查看已装技能 等。边界(Do NOT trigger):只做「组合策划 + 静态路由建议 + 清单 + 下载 + 落位 + 汇总 + 盘点 + re-index + hook 适配」,不含技能本体、不做技能内容开发、不 -g 污染全局、不自动安装缺失技能、不静默写宿主配置或全局记忆;家族安装先自举或调用元信装前门禁,DO NOT INSTALL 阻断,非元阁家族包不自动安装。

ClawHub Agent Skills author: YottaMeta v0.19.3 MIT-0 53 files · 1 script body ≈ 3 489 tokens Open the sourceclawhub.ai analyzed 16 h ago

元阁 -- 元阁全家技能的总编排策划 + 编排路由 + 一键安装器 + 技能盘点 + 运行时 hook 适配。路由层:--route / routerequest 按需求摘要给出候选组合、调用顺序、角色、置信度、依据、已装/缺失状态与安装命令,只建议不自动安装;非元阁家族已装技能按 frontmatter…

As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
C
50/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
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: 29. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1252 chars, limit 1024

Process rating: all ten parameters 50/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, git, python) that frontmatter does not declare
  • 100Steps. 42 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3489 tokens
  • 100Progress reporting. Reports progress
  • low 14 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (26 tags): a typed call is more reliable

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)
  • +3Description length 1252: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
This appears to be a real YottaMeta skill installer, but it deserves Review because it can fetch and run code that changes local agent skill directories with the user's privileges.
LLM: suspicious (high) · 13 Sept 2026