BD super-agent-integration
把分散建成的超级智能体单点能力熔成一次真实可跑、可被度量的端到端自主闭环，是超越一线大模型的最后一公里。 真实 import 并调用 planner / reason-verify / memory-cross-engine / reflection-replanner / super-agent-bootstrap / agent-eval-harness，跑通「感知→规划→执行→自验证→反思重规划→跨引擎记忆→回归评测」 全链路，最后用评测引擎量化闭环健康度并判定是否闭环可用。当用户要求真正跑通自主智能体、 验证"是否真的能端到端自主完成任务"、度量超级智能体健康度时使用。
把分散建成的超级智能体单点能力熔成一次真实可跑、可被度量的端到端自主闭环，是超越一线大模型的最后一公里。 真实 import 并调用 planner / reason-verify / memory-cross-engine / reflection-replanner /…
As a process D 46/100 · Unfinished process — 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.
- 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: 6. 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") - note
frontmatter-keyunknown frontmatter key "agent_created" - note
frontmatter-keyunknown frontmatter key "visibility"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 624 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
- +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 292: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (2 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.