AC moa-engine
编排多角色专家团队通过结构化对抗和逻辑熔铸协同解决复杂问题，支持XML标签化信息流、智能路由和递归式自我改进；当用户需要多角度分析、高风险决策审视、跨领域方案设计或深度架构评审时使用
编排多角色专家团队通过结构化对抗和逻辑熔铸协同解决复杂问题，支持XML标签化信息流、智能路由和递归式自我改进；当用户需要多角度分析、高风险决策审视、跨领域方案设计或深度架构评审时使用
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 18. 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 51/100
- 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
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 41 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2394 tokens
- 100Running it twice. No mutating operations
- low 12 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (15 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 91: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 22 headings
- +3Step-by-step instructions: 41 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (11 of 11)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.
External checks
ClawHub: suspicious
This appears to be a legitimate orchestration skill, but it needs Review because it can automatically save learning data and change future agent behavior without clear user controls.
LLM: suspicious (high) · VirusTotal: · 19 Aug 2026