SKILLEMALL.ai

BF create-agent

完整创建一个 OpenClaw Agent,包括:一次性问卷收集配置信息、自动生成 workspace 文件(SOUL.md/AGENTS.md/IDENTITY.md/USER.md/MEMORY.md/HEARTBEAT.md)、 执行 `openclaw agents add` CLI 注册、内置 capability-evolver 自我进化(--review 模式)、 以及向用户输出完整的后续操作清单。 触发词:创建 agent、新建 agent、帮我建一个 agent、create agent、new agent、add agent、 setup agent、我想要一个新的 agent、初始化 agent。 任何涉及 OpenClaw agent 创建、初始化、注册的请求都应触发此 skill。

ClawHub Agent Skills author: dao24dao v1.0.1 MIT-0 5 files · 1 script body ≈ 1 684 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 28/100 · Will not run — References files that are not bundled: assets/gep/events.jsonl

GeneratorWhatsAppAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
28/100
Will not run
References files that are not bundled: assets/gep/events.jsonl
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 5. 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")
  • warning missing-ref reference to a missing file: assets/gep/events.jsonl

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: assets/gep/events.jsonl
  • 0Tools and files. 1 referenced file(s) missing: assets/gep/events.jsonl
  • 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. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (create-agent) differs from the folder (create-agent-arch)
  • 100Steps. 14 steps
  • 100Execution cost. Instruction body is 1684 tokens

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 358: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This skill appears intended to create an OpenClaw agent, but it makes persistent setup changes and asks for sensitive channel credentials without enough safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026