SKILLEMALL.ai

AD openclaw-config-master

Edit and validate OpenClaw Gateway config (openclaw.json / JSON5). Covers all config areas — gateway, agents, channels, models, auth, tools, commands, session, hooks, secrets, acp, messages, plugins, skills, $include. Use when adding/changing config keys or diagnosing openclaw doctor/config validation errors, to avoid schema mismatches that prevent the Gateway from starting or weaken security policies.

ClawHub Agent Skills author: sniper-one v1.3.3 MIT-0 15 files · 5 scripts body ≈ 4 306 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
99
Quality 40%
91
Run on models
none yet
Process rating
D
44/100
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

    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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Dangerous commands cmd-pipe-to-shell references/common-errors.md:462
      Downloads and executes remote code from an unrecognised host (pipe to shell) (documentation of a security skill; the skill's own vendor host)
      curl -fsSL https://get.openclaw.dev | sh
      security skillvendor-host

    Files scanned: 15. 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 44/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70Execution cost. Instruction body is 4306 tokens
    • 100Steps. 40 steps
    • 100Consistency. Name and required fields are in place
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 15 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 405: enough signal without eating the budget
    • +4Structure: 41 headings
    • +3Step-by-step instructions: 40 items
    • +4Has examples (34 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)
    • +3All 5 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: suspicious
    This looks like a legitimate OpenClaw configuration helper, but some examples and scripts could expose chat access, collect sensitive prompt/message data, or delete backups without enough safeguards.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026