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AB soulsync

Personalize your OpenClaw agent quickly and naturally. Detects your current setup level and adapts — full soulsyncing for new users, targeted enhancement for existing setups. Optionally connects Gmail, Calendar, GitHub, and social accounts to learn about you without a lengthy interview. Generates SOUL.md, USER.md, and seeds MEMORY.md. Trigger: user asks to set up their agent, personalize it, or says "get to know me". Also auto-triggers when SOUL.md and USER.md are empty/missing.

ClawHub Agent Skills author: ocbenji v0.8.1 MIT-0 25 files body ≈ 4 216 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 67/100 · Nearly there — weak spots: inputs and preconditions, consistency, running it twice

AnalyzerGmailGitHubAI and agentsInfrastructuretype 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
B
67/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
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: 23. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "safety"

    Process rating: all ten parameters 67/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 5 mutating operations with no state check
    • 40Consistency. Frontmatter name (soulsync) differs from the folder (soul-sync)
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 11 branches
    • 70Execution cost. Instruction body is 4216 tokens
    • 100Tools and files. No external tools needed
    • 100Steps. 43 steps
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 13 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 483: enough signal without eating the budget
    • +4Structure: 26 headings
    • +3Step-by-step instructions: 43 items
    • +3Output format is stated explicitly
    • +4Has examples (17 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    This is a legitimate personalization skill, but it needs Review because it can inspect sensitive local and account data and retain profiling artifacts despite narrower privacy promises.
    LLM: suspicious (high) · VirusTotal: · 28 May 2026