BD subagent-orchestrator
将复杂大型任务拆解为多个子任务，通过 Subagent 并行/串行执行，三文件持久化防丢失，独立任务空间管理，Plan 驱动全程，交付包含中间产物与 diff。降低触发阈值——任务步骤超过3步、涉及2个以上来源或平台、context有膨胀迹象时即触发，不等"大型"才拆。触发词：任务分工、子任务编排、多agent协作、上下文溢出、任务分流、context快满了。
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.
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: 4. 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 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
- 30Running it twice. 5 mutating operations with no state check
- 40Consistency. Frontmatter name (subagent-orchestrator) differs from the folder (subagent-orchestrator-whhh)
- 100Tools and files. No external tools needed
- 100Steps. 85 steps
- 100Execution cost. Instruction body is 3727 tokens
- low 18 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
- -219 emoji in the instructions: noise for the model
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 181: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 85 items
- +4Has examples (28 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: suspicious
This is a genuine task-orchestration skill, but it asks for broad automation powers and has under-scoped persistence, messaging, and activation behavior users should review carefully.
LLM: suspicious (high) · 28 May 2026