SKILLEMALL.ai

AB openclaw-user-profiler

Two things: (1) Build a user.md through conversation so your OpenClaw lobster knows who it's working with. (2) Recommend Claude Code Skills based on the user's role — 42 roles across 11 categories, three-level inheritance model. Profile mode: chat → user.md. Recommend mode: role → curated skill list. Use when a user wants their lobster to learn about them, update their profile, or discover which Skills fit their role. Not for: editing SOUL.md (use the forge) or general-purpose Q&A. Triggers: know me, get to know me, write user.md, update my profile, profile me, recommend skills, skills for my role, what skills should I use, I'm an engineer, I'm a PM, 了解我, 认识我, 推荐 skill, 用户画像。

ClawHub Agent Skills author: eamanc v2.3.1 MIT-0 5 files body ≈ 1 977 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 75/100 · Nearly there — weak spots: inputs and preconditions, progress reporting

GeneratorSoftware developmentAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
B
75/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
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 · 0

    ✓ No critical or high findings

    Files scanned: 5. 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 75/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 40 steps
    • 100Failures and branches. 4 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1977 tokens
    • 100Running it twice. Mutating operations check current state

    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
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 684: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 40 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: suspicious
    This skill appears intended to build a reusable user profile, but it may collect, infer, and persist personal details without a clear consent and review step.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026