SKILLEMALL.ai

AD multi-agent-collaboration

当用户想用多个 AI/Agent 协作完成产品开发、内容生产、代码修改、MVP 迭代或复杂任务交付时使用本技能。适用于搭建“人在回路”的 Multi-agent Collaboration 工作流:用户/Owner 负责方向和验收,一个 AI 负责需求澄清、方案拆解、任务编排与审查,另一个或多个执行 Agent 负责按原子任务执行。尤其适用于非工程师、产品经理、独立开发者、小团队和创作者,希望把模糊想法拆成可执行任务、控制 Agent 改动范围、降低返工、沉淀技术债/决策记录、形成可复用协作包的场景。不要用于完全无人监督的自动执行;不要让执行 Agent 承担开放式产品判断。

ClawHub Agent Skills author: allin-zhang v0.1.0 MIT-0 4 files body ≈ 702 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (multi-agent-collaboration) differs from the folder (multi-agent-collaboration-2)
  • 100Tools and files. No external tools needed
  • 100Steps. 31 steps
  • 100Execution cost. Instruction body is 702 tokens
  • 100Running it twice. No mutating operations
  • low 11 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 291: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This is a text-only workflow skill for supervised multi-agent planning and review, with no evidence of hidden execution or data access.
LLM: benign (high) · VirusTotal: · 28 May 2026