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Debug Log

OrganizationPopular
Prismer-AI
debug-log

查看 Prismer Evolution 插件的调试日志,诊断 hook 运行状态

Overview

PublisherPrismer-AI
RepositoryPrismerCloud
Skill namedebug-log
Stars
1.6K
Forks
14
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Prismer-AI on GitHub. Read the source before you install it.

Installation

Install the Debug Log AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git /tmp/PrismerCloud
mkdir -p .claude/skills
cp -r /tmp/PrismerCloud/sdk/prismer-cloud/claude-code-plugin/skills/debug-log .claude/skills/debug-log
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Debug Log in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Debug Log on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Debug Log is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

查看 Prismer 插件的结构化调试日志。每条日志包含时间戳、级别、hook 名称和上下文。

查看最近日志

bash
CACHE="${CLAUDE_PLUGIN_DATA:-$(dirname "$0")/../../.cache}"
LOG="$CACHE/prismer-debug.log"
if [ -f "$LOG" ]; then
  echo "=== Prismer Debug Log (last 30 entries) ==="
  tail -30 "$LOG" | while IFS= read -r line; do
    # 格式化 JSON 为可读输出
    echo "$line" | node -e "
      const line = require('fs').readFileSync(0,'utf8').trim();
      try {
        const j = JSON.parse(line);
        const lvl = {debug:'D',info:'I',warn:'W',error:'E'}[j.lvl]||'?';
        const {ts,lvl:_,hook,msg,...ctx} = j;
        const extra = Object.keys(ctx).length ? ' ' + JSON.stringify(ctx) : '';
        console.log(\`[\${ts.slice(11,19)}] \${lvl} [\${hook}] \${msg}\${extra}\`);
      } catch { console.log(line); }
    " 2>/dev/null || echo "$line"
  done
else
  echo "No log file found at: $LOG"
  echo "Logs are created after the first hook runs."
  echo "Set PRISMER_LOG_LEVEL=debug for verbose output."
fi

日志级别

通过环境变量 PRISMER_LOG_LEVEL 控制:

  • debug — 所有操作(dev mode 默认)
  • info — 关键操作(生产默认)
  • warn — 仅告警和错误
  • error — 仅错误

常见问题诊断

日志关键词含义解决
sync-pull-failed timeout:true进化网络同步超时检查网络连接或 API 状态
sync-pull-failed error:...API 返回错误检查 API Key 是否有效
memory-pull-failed记忆加载失败检查 API Key 权限
evolution-query timeout:true进化查询超时(stuck detection)正常降级,不影响工作
cache-save-failedWeb 缓存保存失败非关键,自动跳过

Frequently asked questions

What does the Debug Log AI skill do?

查看 Prismer Evolution 插件的调试日志,诊断 hook 运行状态

Why use Debug Log on TypingMind?

Because you install it once and use it with any model. Debug Log is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Debug Log in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/prismer-cloud/claude-code-plugin/skills/debug-log. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Debug Log?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Debug Log?

As many as you like. As long as a model supports skills, you can use Debug Log with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Debug Log AI skill free?

Yes. It is published on GitHub by Prismer-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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