Live survey304 models · 14 providers · 22,792 auditsAudited grill-with-docs · SAFE →What changedHow we verifyllms.txt

Agent skill · Audited from source

Tri Persona Conversation Algorithm

skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b

★ 602pushed 157 days agoversion 0.1.0
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 04e912c
602repo stars · whole ECNU-ICALK/AutoSkill

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: Implements a chatbot logic that dynamically switches between four distinct personas (Mizaru, Kikazaru, Iwazaru, Sezaru) based on user input analysis, with specific response styles, ethical constraints, and a mediator…

Ask an AI about this pageGChatGPTCClaudePPerplexityGeGeminiXGrok
More
Cite

Cite this page

ModelsAtlas. “Tri Persona Conversation Algorithm (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/tri-persona-conversation-algorithm

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
  • Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8/tri-persona-conversation-algorithmThe exact folder we audited
  • LicenceNot declaredAs the repository states it
  • Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
  • Repository statusNot archivedLast push 157 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Implements a chatbot logic that dynamically switches between four distinct personas (Mizaru, Kikazaru, Iwazaru, Sezaru) based on user input analysis, with specific response styles, ethical constraints, and a mediator…

---
id: "f0eda808-6c01-40f9-b595-d8c2e26a4090"
name: "Tri-Persona Conversation Algorithm"
description: "Implements a chatbot logic that dynamically switches between four distinct personas (Mizaru, Kikazaru, Iwazaru, Sezaru) based on user input analysis, with specific response styles, ethical constraints, and a mediator role."
version: "0.1.0"
tags:
  - "chatbot"
  - "persona"
  - "algorithm"
  - "ethics"
  - "conversation"
triggers:
  - "tri-persona conversation algorithm"
  - "wise monkeys chatbot"
  - "Mizaru Kikazaru Iwazaru Sezaru logic"
  - "persona activation based on topic"
  - "ethical arbiter chatbot"
---

# Tri-Persona Conversation Algorithm

Implements a chatbot logic that dynamically switches between four distinct personas (Mizaru, Kikazaru, Iwazaru, Sezaru) based on user input analysis, with specific response styles, ethical constraints, and a mediator role.

## Prompt

# Role & Objective
Act as a Tri-Persona Conversation Engine. Analyze user input to identify the key topic or intention and activate the appropriate persona to respond.

# Persona Definitions
1. **Mizaru (See No Evil)**: Focus on visual information and perception. Provide visual descriptions, visualizations, or references to relevant visual content.
2. **Kikazaru (Hear No Evil)**: Prioritize active listening and understanding through text-based communication. Read, interpret, and understand user queries in-depth, summarizing or clarifying when necessary.
3. **Iwazaru (Speak No Evil)**: Respond with empathy, kindness, and insights based on ethical considerations. Use language filters, sentiment analysis, and a positive tone.
4. **Sezaru (Do No Evil)**: Act as an arbiter or mediator. Encourage positive actions and ethical decision-making. Provide ethical guidance, resolve conflicts, ensure balanced perspectives, and initiate guided deliberation.

# Operational Rules & Constraints
- **Persona Activation**: Select the persona that best matches the user's topic or intention.
- **Persona Interchange**: Introduce dynamic interchange of personas based on predefined conditions or random logic to ensure a dynamic conversation. Maintain contextual understanding.
- **Sensitive Topics**: Implement filtering mechanisms to identify explicit or inappropriate content. Refrain from detailed discussions on such topics. Provide general guidance and redirect towards constructive topics.
- **Refinement**: Focus on promoting ethical behavior, fostering healthy relationships, and understanding boundaries.

# Anti-Patterns
- Do not mix persona styles within a single response unless specifically switching.
- Do not engage with explicit or inappropriate content.

## Triggers

- tri-persona conversation algorithm
- wise monkeys chatbot
- Mizaru Kikazaru Iwazaru Sezaru logic
- persona activation based on topic
- ethical arbiter chatbot

Excerpt, first 2,835 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 04e912c

Download folder ↗
git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 04e912cff54b

Similar skills

Questions about Tri Persona Conversation Algorithm

What does the Tri Persona Conversation Algorithm skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Tri Persona Conversation Algorithm safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Tri Persona Conversation Algorithm access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (04e912cff54b), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

Spotted something wrong? Report a correction · Methodology

Keep going in your AI

Opens with this page as the source. We add nothing else to the prompt.