Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
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Pre-routing ambiguity analysis — scores request clarity and asks clarifying questions when needed (inspired by ouroboros)
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Analyze a user request for ambiguity before routing to implementation. Inspired by the ouroboros Socratic interviewer pattern, this skill measures request clarity on a 0.0–1.0 scale and asks targeted clarifying questions when needed.
| Score Range | Verdict | Action |
|---|---|---|
| ≤ 0.2 | Clear | Proceed with implementation |
| 0.2–0.5 | Moderate | Suggest clarifications but allow proceeding |
| > 0.5 | High | Require clarification before proceeding |
| Factor | Weight | Description |
|---|---|---|
| Scope clarity | 30% | Is the scope of work well-defined? |
| Technical specificity | 25% | Are technical requirements clear? |
| Acceptance criteria | 20% | Can we determine when the task is done? |
| Constraint clarity | 15% | Are constraints and limitations specified? |
| Context sufficiency | 10% | Is there enough context to proceed? |
Composite score = weighted sum of individual factor scores (each 0.0–1.0, inverted: 0.0 = clear, 1.0 = ambiguous).
[Ambiguity Analysis]
├── Score: {0.0-1.0}
├── Verdict: {Clear | Moderate | High}
├── Breakdown:
│ ├── Scope: {score} — {reason}
│ ├── Technical: {score} — {reason}
│ ├── Acceptance: {score} — {reason}
│ ├── Constraints: {score} — {reason}
│ └── Context: {score} — {reason}
└── Suggestions: {clarifying questions if score > 0.2}
$ARGUMENTS or conversation context)Example questions:
This skill can be:
/ambiguity-gate [request] — analyze a specific requestRouting skill integration example:
1. Run ambiguity-gate on user request
2. If score > 0.5: surface questions, wait for response, re-run gate
3. If score ≤ 0.5: proceed with normal routing
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