BC duel-loop
彻底断绝主代理长期对话中累积的偏见与情绪对产出的裹挟，确保每次产出忠实于需求本身，不再随对话越长越偏离预期。你只负责提需求和最终验收。传统单agent反复调prompt、人工审核输出的工作流，在这里被架构级消解了。角色隔离的双子代理对抗架构：执行和QA子代理运行在完全架空的环境中，看不到主代理的会话上下文、用户画像和记忆。5维10分制评分，满分才交付，否则自动打回重构，5次不过熔断兜底。需求说一次就行，中间全程AI自主协调，没有半成品到你面前。触发词：走QA、审核、质量检查、评审、review。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription 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. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 639 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (3 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 250: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: clean
This skill is a disclosed QA drafting and review workflow with file-writing behavior that matches its purpose and no hidden executable code or credential handling found.
LLM: benign (high) · VirusTotal: · 29 May 2026