SKILLEMALL.ai

AC openclaw-guide

Guide for OpenClaw setup, config, commands, routing, and troubleshooting. Use when the user asks how OpenClaw works, how to configure it, why a channel or agent is misbehaving, or how to diagnose gateway/channel/session issues. Prefer local docs first, then inspect the specific config subtree before suggesting changes. Not for designing or auditing skills themselves.

ClawHub Agent Skills author: Don Zurbrick v1.0.0 MIT-0 4 files body ≈ 707 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 64/100 · Has gaps — weak spots: inputs and preconditions, consistency, progress reporting

IntegrationInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
64/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Consistency w 8
40
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 64/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (openclaw-guide) differs from the folder (openclaw-guide-zurbrick)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 51 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 707 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
    • +4No input/output examples
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 369: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 51 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    The artifacts appear to be coherent ClawHub developer and maintainer skills with disclosed local, GitHub, Convex, and moderation workflows rather than hidden or unrelated behavior.
    LLM: benign (medium) · VirusTotal: · 29 May 2026