Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ZTE-AICloud/Co-OmniSpec/plugin install omni-dsddWrote 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/agents/zte-aicloud/co-omnispec/constitution)<a href="https://agentmods.dev/agents/zte-aicloud/co-omnispec/constitution"><img src="https://agentmods.dev/badge/agents/zte-aicloud/co-omnispec/constitution/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/agents/zte-aicloud/co-omnispec/constitution"><img src="https://agentmods.dev/badge/agents/zte-aicloud/co-omnispec/constitution.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 | $0.00034 | $0.04269 |
| Opus 5.5 | $0.00014 | $0.01708 |
| Sonnet 5.5 | $0.00007 | $0.00854 |
| Haiku 4.5 | $0.00003 | $0.00427 |
Grade A, and why
constitution 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 — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
项目章程创建与更新
用户输入
$ARGUMENTS
在继续之前, 你必须考虑用户的消息内容(如果不为空).
环境初始化
本技能所有读写路径均基于以下变量。后续步骤不得用裸相对路径 .omni-infra/... 绕过它们。
| 变量 | 含义 | 用途 |
|---|---|---|
CLAUDE_PLUGIN_ROOT |
Omni 插件安装根目录 | 定位插件内 omni-infra/ 种子、init_omni_infra.sh 等 |
CLAUDE_WORKING_DIR |
用户当前工作区目录（可为 Git 仓库子目录） | 定位工作区 .omni-infra/ 下章程与模板 |
KNOWLEDGE_DIR |
私域知识库根目录（私域知识检索用，与反构文档库独立） | 定位知识源目录与 knowledge.config.yaml；由 Step 0.2 解析（读 .omni-infra/knowledge.path，缺失回退 omni-doc） |
工作区路径约定（全文统一使用）
| 符号 | 展开路径 |
|---|---|
| 章程文件 | ${CLAUDE_WORKING_DIR}/.omni-infra/memory/constitution.md |
| 设计模板 | ${CLAUDE_WORKING_DIR}/.omni-infra/templates/design-template.md |
| 任务模板 | ${CLAUDE_WORKING_DIR}/.omni-infra/templates/tasks-template.md |
| 规范模板 | ${CLAUDE_WORKING_DIR}/.omni-infra/templates/spec-template.md |
| 知识库路径标记 | ${CLAUDE_WORKING_DIR}/.omni-infra/knowledge.path（init 脚本写入的生效 KNOWLEDGE_DIR 绝对路径，constitution 读取） |
| 知识源检查路径 | ${KNOWLEDGE_DIR}（读 knowledge.path；缺失回退 ${CLAUDE_WORKING_DIR}/omni-doc） |
| 知识检索配置 | ${KNOWLEDGE_DIR}/knowledge.config.yaml（由 sdd 初始化脚本 init_omni_infra.sh 生成，非本技能职责） |
| 插件 omni-infra 种子 | ${CLAUDE_PLUGIN_ROOT}/omni-infra/（仅 .omni-infra 尚未存在时参考） |
| 插件 knowledge 配置模板 | ${CLAUDE_PLUGIN_ROOT}/skills/knowledge-retrieval/knowledge.config.yaml（init_omni_infra.sh 拷贝源） |
Step 0.1 检查变量是否已存在
test -n "${CLAUDE_PLUGIN_ROOT:-}" && test -d "${CLAUDE_PLUGIN_ROOT}"
test -n "${CLAUDE_WORKING_DIR:-}" && test -d "${CLAUDE_WORKING_DIR}"
test -n "${KNOWLEDGE_DIR:-}" # 仅判非空；不要求目录必须存在（私域知识库为可选）
CLAUDE_PLUGIN_ROOT / CLAUDE_WORKING_DIR 两项均通过 → 进入 Step 0.3。
任一项失败 → 执行 Step 0.2。
KNOWLEDGE_DIR 仅为空时参与 Step 0.2 补全（已非空则沿用，不强制目录存在）。
Step 0.2 补全缺失变量（仅 Agent 层执行一次）
CLAUDE_PLUGIN_ROOT
- 若 Claude Code 已注入且目录存在：沿用。
- 若仍缺失，按顺序降级（须验证
${路径}/skills/constitution/SKILL.md存在）：- Skill 加载上下文中的插件安装根；
- 在
${CLAUDE_WORKING_DIR}或其上级查找含.claude-plugin/plugin.json的目录；
export CLAUDE_PLUGIN_ROOT="<绝对路径>"- 失败 → 终止并提示配置插件。
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 · 240 lines · 34 tokens per session scan A c7150c1d0a54
constitution is an agent published in the GitHub repository ZTE-AICloud/Co-OmniSpec (57 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 4,269 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.