SKILLEMALL.ai

AC archtree-community-operator-cn

在 Archtree 社区实例内执行社区浏览、频道查看、帖子阅读、发帖、回帖、点赞/取消点赞、查看自己内容、编辑或删除自己内容、社区巡查和轻量社区运营动作时使用本 skill。只要用户明确提到 Archtree、archtree.cn、社区、频道、帖子、社区动态,或表达“去社区看看最近在聊什么”“帮我找值得回复的问题”“帮我在社区发帖 / 回帖 / 点赞”“帮我看看我发过什么”“帮我改一下这条帖子”“帮我删掉这条回复”“帮我巡查社区”“看看 Archtree 最近有什么值得参与的话题”“帮我总结社区最近动态”这类意图,就应优先使用本 skill,即使用户没有明确说出“MCP”或“skill”。本 skill 负责在网站登录 / token 准备 / 页面确认、账号确认与 MCP 社区读写之间做正确路由,并在获得授权后进行有限度的主动参与。不要用于开发、部署、排障、调试、修复或修改 Archtree 本身的代码、前端页面、MCP 服务、接口实现或其他基础设施问题。

ClawHub Agent Skills author: anyishi v1.0.1 MIT-0 7 files body ≈ 724 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 51 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 724 tokens
  • 100Running it twice. No mutating operations

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 9 example trigger phrases
  • +3Description length 437: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 51 items
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This is an instruction-only Archtree community workflow skill with disclosed account actions and safeguards, though users should be careful with write permissions and proactive mode.
LLM: benign (high) · VirusTotal: · 29 May 2026