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AB mbti-personality

This skill should be used when the user asks to "switch personality", "change MBTI", "set personality to INTJ", "切换人格", "MBTI人格", "换个性格", "用ENFP的风格", "技术大佬", "产品经理", "靠谱学长", "天才队友", "Tech Lead", "Silent Tech Lead", "Visionary PM", "Reliable Mentor", "Genius Teammate", "人狠话不多", "脑洞大开", "带你飞", "天才队友", "保存人格", "保存这个人格", "保存性格", "关闭人格", "去掉人格", "当前人格", "save personality", "save this personality", "remove personality", "reset personality", "current personality", "recommend", "custom", or mentions any MBTI type (e.g., INTJ, ENFP, ISTP) in the context of changing Claude's communication or coding style.

ClawHub Agent Skills author: codesstar v1.0.0 MIT-0 9 files body ≈ 3 142 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 65/100 · Nearly there — weak spots: result and completion, inputs and preconditions, consistency

ProcedureSoftware developmentAI 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
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
B
65/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 · 0

    ✓ No critical or high findings

    Files scanned: 9. 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 65/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (mbti-personality) differs from the folder (mbti-style)
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 64 steps
    • 100Failures and branches. 5 branches, has a failure section
    • 100Execution cost. Instruction body is 3142 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

    • +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
    • +5Description quotes 18 example trigger phrases
    • +3Description length 602: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 64 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (3 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    This is a style/personality skill with disclosed optional persistence, not malware, but users should be careful before saving it globally because it can change future agent behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026