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AB openclaw-insight

Analyze OpenClaw AI assistant usage patterns and generate interactive insight reports. Trigger when users ask about: OpenClaw usage stats, session analytics, token consumption, cost estimation, friction analysis, optimization suggestions, or any request to audit/visualize OpenClaw session data (e.g. "show my stats", "how much am I spending on AI", "usage report").

ClawHub Agent Skills author: linsheng9731 v1.0.0 MIT-0 2 files body ≈ 1 433 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 73/100 · Nearly there — weak spots: inputs and preconditions, progress reporting

AnalyzerData and analyticstype 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%
98
Quality 40%
92
Run on models
none yet
Process rating
B
73/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Failures and branches w 10
50
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:21
      Pipe-to-shell installer from a well-known host (still executes remote code) (documentation of a security skill)
      curl -fsSL https://raw.githubusercontent.com/lins…731/openclaw-insight/main/install.sh | bash
      security skill
    • low Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:36
      Pipe-to-shell installer from a well-known host (still executes remote code) (documentation of a security skill)
      curl -fsSL https://raw.githubusercontent.com/lins…731/openclaw-insight/main/install.sh | bash -s -- --version v1.0.0
      security skill

    Files scanned: 2. 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 73/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 50Failures and branches. 0 branches, has a failure section
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 18 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1433 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 366: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 18 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: suspicious
    The skill’s purpose is coherent, but its recommended install path asks users to run a remote shell script while making broad local-only safety claims.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026