SKILLEMALL.ai

BC agent-creator

Full workflow for creating an OpenClaw Agent. Use when the user says 'create an agent', 'make a new agent', 'add a bot', or needs to set up a new AI assistant. Covers the complete setup process including (1) adding agent config and peer bindings to openclaw.json, (2) creating workspace directory with SOUL.md persona, (3) scaffolding required folders and files, (4) copying agent runtime configs from main, (5) restarting gateway to apply changes.

ClawHub Agent Skills author: Dian v1.0.1 MIT-0 4 files · 1 script body ≈ 1 336 tokens Open the sourceclawhub.ai↗ analyzed 11 d ago

Full workflow for creating an OpenClaw Agent.

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
52/100
Has gaps
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

    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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 52/100

    • 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
    • 30Running it twice. 5 mutating operations with no state check
    • 40Consistency. Frontmatter name (agent-creator) differs from the folder (sub-agent-creator)
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 26 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Execution cost. Instruction body is 1336 tokens
    • 100Progress reporting. Reports progress

    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
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +3Description length 448: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (14 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: suspicious
    The skill has a legitimate agent-creation purpose, but its helper script can write or overwrite sensitive OpenClaw files without adequate validation or confirmation.
    LLM: suspicious (high) · VirusTotal: · 12 Sept 2026