SKILLEMALL.ai

AC group-agent-tool-free

极简多Agent群组协作,像微信群一样拉群、@提及、广播与成员管理。Use when 需要项目管理、任务规划、进度跟踪、团队协作时使用。不适用于实际人员绩效评估。适用于独立开发者、企业团队和自动化工作流场景。支持中文交互,无需复杂配置即开即用。输出结果可直接使用,减少二次加工成本。提供结构化输出和错误处理机制。

ClawHub Agent Skills author: 天轰穿 v1.0.3 MIT-0 2 files body ≈ 2 211 tokens Open the sourceclawhub.ai analyzed 2 d ago

极简多Agent群组协作,像微信群一样拉群、@提及、广播与成员管理。Use when 需要项目管理、任务规划、进度跟踪、团队协作时使用。不适用于实际人员绩效评估。适用于独立开发者、企业团队和自动化工作流场景。支持中文交互,无需复杂配置即开即用。输出结果可直接使用,减少二次加工成本。提供结构化输出和错误处理机制。

As a process C 51/100 · 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
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
51/100
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

    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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "tools"

    Process rating: all ten parameters 51/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 65 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2211 tokens
    • low 16 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
    • +2Single-language instructions
    • +3Description length 156: enough signal without eating the budget
    • +4Structure: 45 headings
    • +3Step-by-step instructions: 65 items
    • +4Has examples (9 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This appears to be a local group-agent coordination skill, with some overbroad boilerplate that users should keep scoped to the intended CLI workflow.
    LLM: benign (medium) · VirusTotal: · 29 Aug 2026