xmind-orchestrated

xmind-orchestrated is a skill for Claude Code, Codex from FirenzeClaw/kimi-session-orchestrator. It costs 76 tokens per session (1,743 once invoked), scanned A, original, MIT.

A troubleshooting skill that asks for concrete facts, then obtains an independent second analysis when a complex problem or bug investigation is stuck.

In plain words
What is it for?
Analysing architecture dead ends, recurring bugs, attempted fixes, project constraints, and possible next solutions.
Why use it?
It helps break repeated unproductive debugging by separating observed facts from guesses and bringing in a fresh view of the project.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

Good fit Analysing architecture dead ends, recurring bugs, attempted fixes, project constraints, and possible next solutions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/firenzeclaw/kimi-session-orchestrator/xmind-orchestrated
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add FirenzeClaw/kimi-session-orchestrator --skill xmind-orchestrated
Clone the repo
git clone --depth 1 https://github.com/FirenzeClaw/kimi-session-orchestrator

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for xmind-orchestrated

README.md
[![agentmods](https://agentmods.dev/badge/skills/firenzeclaw/kimi-session-orchestrator/xmind-orchestrated/github.svg)](https://agentmods.dev/skills/firenzeclaw/kimi-session-orchestrator/xmind-orchestrated)
Your own site
<a href="https://agentmods.dev/skills/firenzeclaw/kimi-session-orchestrator/xmind-orchestrated"><img src="https://agentmods.dev/badge/skills/firenzeclaw/kimi-session-orchestrator/xmind-orchestrated/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for xmind-orchestrated

Your own site · 80×15
<a href="https://agentmods.dev/skills/firenzeclaw/kimi-session-orchestrator/xmind-orchestrated"><img src="https://agentmods.dev/badge/skills/firenzeclaw/kimi-session-orchestrator/xmind-orchestrated.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,743 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00076 $0.01743
Opus 5 $0.00038 $0.00872
Sonnet 5 $0.00015 $0.00349
Haiku 4.5 $0.00008 $0.00174

Measured 10d ago against content hash 85e5772858e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

xmind-orchestrated scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/xmind-orchestrated/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

XMIND Orchestrated — 困境分析 + 独立上下文求解

⛔ 加载即执行

Auto 检测

若 auto permission mode → 纯文本提问,不用 AskUserQuestion。

Phase 0: 收集事实(三问)

Q1: 问题描述? 现象 + 发生时机 + 影响范围(必须具体) Q2: 相关文档与日志? 文件路径 + 关键日志/文档原文摘要(至少1个;路径必须可访问) Q3: 已尝试方案? 每次尝试的方案描述 + 可观测结果(可无;有则必写失败原因)

每问验证非空(Q3 可为空)。禁止在收集事实前开始分析。

Phase 1: 认知过滤

扫描 Q1-Q3 回答,移除含以下词的全句: 我觉得|可能是|怀疑|应该不是|好像|大概|估计|我认为|不太可能

转换示例:

  • "之前试过改 timeout,好像没效果" → "已尝试增加 timeout 参数(无效果)"
  • "我怀疑是 A 模块的问题" → 整句删除

过滤后的内容 = 纯事实包。

Phase 2: 路由

调用 get_tunnel_status

  • wireConnected: true → Phase 3A(task session 主路径)
  • wireConnected: false 或工具不可用 → Phase 3B(子 Agent 降级)
  • 3 秒内未确定 → 降级

Phase 3A: task session 路径

前提: memory_get(namespace="project/decisions") → 已知约束

① create_session(cwd, permission_mode="auto")
   → 失败 → 降级 Phase 3B

② execute_prompt(sid, prompt)  → 注入模板:

[系统注入] 你是独立的问题分析 session。
以下均为客观事实,不含任何主观判断。

## 问题描述
<Q1 过滤后>

## 相关文档与日志
<Q2 原文>

## 已尝试方案
<Q3 过滤后,仅保留方案描述+可观测结果>

## 已知约束
<project/decisions 条目,仅事实型决策>

---
请按以下步骤分析:
1. 读取上述文档和日志,理解项目上下文
2. 调用 zoom-out(可用时)或手动绘制模块关系图:用项目术语描述全局架构,标注模块间依赖
   - 若 zoom-out skill 不可用:手动绘制模块依赖图,用项目术语描述全局
3. 基于宏观理解,提出 1-3 个新方案
4. 每个方案标注: 可行性(高/中/低)+理由+风险+与已尝试方案的本质区别

⛔ 若缺少关键信息,列出需补充的内容。

③ Bash(run_in_background=true, command=poll_command)
④ 等 <notification> → list_io_records → 提取方案
⑤ 若空返回 → 降级 Phase 3B 重试一次

Phase 3B: 子 Agent 降级

Agent(subagent_type="coder", prompt=
  "## 问题\n<Q1 过滤后>\n\n## 文档\n<Q2>\n\n## 已尝试\n<Q3>\n\n
   请阅读文档理解项目架构,分析问题,提出 1-3 个新方案。"
)

保留原 xmind zoom-out 流程:读文档 → 分析 → 宏观视角 → 方案。


Phase 4: 迭代

用户决策 行为
接受 结束。方案交付。
拒绝(< 3轮) 路径 A: memory_set 记拒绝原因 → 新 session;路径 B: 拒绝原因写入下轮 prompt 前缀 → 新子 Agent
拒绝(≥ 3轮) 输出 3 轮完整记录,标记"需人工决策"

拒绝原因也需过滤主观词。


工具规范

工具 路径 用途
get_tunnel_status A+B 路由检测
create_session A 创建独立 session
execute_prompt A 下发分析任务
Bash(poll_command) A 后台等结果
list_io_records A 回收结果
memory_get A 读取已知约束
memory_set A 记录拒绝原因
Agent B 降级子 Agent
AskUserQuestion A+B 三问(非 auto)

Read the full file on GitHub · 162 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 162 lines · 76 tokens per session scan A 85e5772858e3

Subscribe to this mod's changes

xmind-orchestrated is a skill published in the GitHub repository FirenzeClaw/kimi-session-orchestrator (0 stars, last pushed 14d ago), licensed MIT. It adds 76 tokens to every session and 1,743 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.