Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/qxbyte/pluginhubnpx agentmods add skills/qxbyte/pluginhub/wiki-orchestrateWrote 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.
[](https://agentmods.dev/skills/qxbyte/pluginhub/wiki-orchestrate)<a href="https://agentmods.dev/skills/qxbyte/pluginhub/wiki-orchestrate"><img src="https://agentmods.dev/badge/skills/qxbyte/pluginhub/wiki-orchestrate/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.
<a href="https://agentmods.dev/skills/qxbyte/pluginhub/wiki-orchestrate"><img src="https://agentmods.dev/badge/skills/qxbyte/pluginhub/wiki-orchestrate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00136 | $0.03338 |
| Opus 5.5 | $0.00054 | $0.01335 |
| Sonnet 5.5 | $0.00027 | $0.00668 |
| Haiku 4.5 | $0.00014 | $0.00334 |
Grade A, and why
wiki-orchestrate 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wiki-orchestrate
Host-tool convention 🔧: tool names in this skill —
AskUserQuestion(structured multiple-choice question) — are written for Claude-family hosts (Claude Code / CodeBuddy), where naming them directly is the most reliable. On a host that lacks one, use its nearest equivalent (a structured-question tool); with no equivalent, fall back to a plain-text question. The described behavior is what matters, not the exact tool name.
整理笔记库的统一入口。把"逐步手动判断该调哪个 skill"换成一个
模型驱动的编排 playbook：先做只读体检，再让模型依据结果决定调用
wiki-struct / wiki-curate 的哪个命令、什么参数，
按序完成整理。本入口为后期"定时启动器"铺路（定时器不在本 skill 范围）。
spec-distill（知识沉淀阶段）已于 v2.0.0 剥离并迁移到 specode 的
/specode:distill；本编排不再含「沉淀」阶段。
完整设计见 DESIGN.md。
这是一篇 playbook，不是斜杠命令调度器
两个子 skill 当前未注册为可 / 调用的命令，它们由"确定性 Python 脚本 +
LLM 驱动的 SKILL.md 流程"两部分组成。本入口因此这样执行：
- 确定性部分：直接
python3运行子脚本（struct_gen.py、lint.py）。 - LLM 流程部分：内联读取对应子 SKILL.md，按其步骤执行（拆知识点、写文档、 问用户等）；子 skill 自身的确认关卡与红线照常生效。
- 编排部分：本文件 +
references/告诉你——现在该读哪个子 SKILL.md、跑哪个 脚本、传什么参数、依据什么体检信号判断下一步。
命令
| 命令 | 行为 |
|---|---|
/wiki-orchestrate（= run） |
定位 vault → 两方只读体检 → 写 orchestrate-report → 呈现行动计划 → 用户批准后逐阶段执行 |
/wiki-orchestrate scan |
只定位 + 两方只读体检 + 写 orchestrate-report，不执行任何写阶段 |
/wiki-orchestrate set-vault [<路径>|<名>] |
重设/切换 active 库：已注册库用 registry.py set-active --name <名>，新库用 register --activate（见第 0 步）；不传则询问用户 |
/wiki-orchestrate help |
显示本命令表与两个子 skill 概览 |
未给子命令时按 run 处理。
第 0 步：定位 vault（每个命令都先做）
本套件作为插件安装、代码不在 vault 内；vault 路径与各库结构配置都登记在家目录注册表
~/.config/obsidian-wiki/（vaults.json存各库 path + active，configs/<名>.json存各库结构）。既不写插件目录（cache，更新即丢）、也不再写进 vault。注册表读写统一走registry.py。
脚本定位：本编排入口自身无脚本，它要跑的都是别处的脚本——通用库
registry.py在插件根lib/，子 skill 脚本在各自scripts/下。用本 skill 的 base directory 把相对路径拼成绝对路径来跑（不解析环境变量、不 find 缓存）：registry.py=../../lib/registry.py、config.example.json=../../config.example.json、struct 脚本 =../wiki-struct/scripts/struct_gen.py、curate 脚本 =../wiki-curate/scripts/lint.py。
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 189 lines · 136 tokens per session scan A fd8ad609035f
wiki-orchestrate is a skill published in the GitHub repository qxbyte/pluginhub (3 stars, last pushed 1mo ago), licensed MIT. It adds 136 tokens to every session and 3,338 once invoked, about $0.0005 per session on Opus 5.5. 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.
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