SKILLEMALL.ai
RU Sign in

AB skill-usage-setup

Install and set up the OpenClaw Skill Usage plugin. Use when users say: - "install skill usage" - "setup skill usage" - "add skill usage analytics" - "install leaderboard plugin" - "track which skills are used most" - "setup shared skill leaderboard" - "enable /skillusage"

ClawHub Agent Skills author: lucifinil v1.0.3 MIT-0 2 files body ≈ 2 106 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 69/100 · Nearly there — weak spots: result and completion, inputs and preconditions, consistency

ReferenceData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
B
69/100
Nearly there
Inputs and preconditions w 11
0
Result and completion w 14
40
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 69/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 40Result and completion. Does not say what the result is
    • 40Consistency. Frontmatter name (skill-usage-setup) differs from the folder (skill-usage)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 79 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 9 branches, has a failure section
    • 100Execution cost. Instruction body is 2106 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +3Description length 274: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 79 items
    • +4Has examples (9 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This skill transparently sets up a usage-analytics plugin, with disclosed install, restart, and optional cloud-sync behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026