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.
npx skills add nexus-research-lab/nexus --skill execution-orchestratorgit clone --depth 1 https://github.com/nexus-research-lab/nexusWrote 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/nexus-research-lab/nexus/execution-orchestrator)<a href="https://agentmods.dev/skills/nexus-research-lab/nexus/execution-orchestrator"><img src="https://agentmods.dev/badge/skills/nexus-research-lab/nexus/execution-orchestrator/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/nexus-research-lab/nexus/execution-orchestrator"><img src="https://agentmods.dev/badge/skills/nexus-research-lab/nexus/execution-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.01198 |
| Opus 5.5 | $0.00014 | $0.00479 |
| Sonnet 5.5 | $0.00007 | $0.00240 |
| Haiku 4.5 | $0.00004 | $0.00120 |
Grade A, and why
execution-orchestrator 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execution Orchestrator
Execution 管理当前责任交付;Goal 管理跨轮目标。按需独立选择或显式绑定,不按任务长度或人数推断。
入口与命令协议
-
substantial execution 前先判断直接执行、局部 Task、Subagent、WorkGraph、Room Assignment、Gate/Loop 或 Goal 中哪些结构真的降低风险;简单原子任务直接完成。 子任务使用
nexus.command/subagent,按下方参考操作;不要求先创建工作图。 -
执行当前任务的责任图时,先调用宿主提供的
nexus.command:{"domain":"execution","action":"inspect"}明确读取同一可信 scope 的历史图时才传
input.execution_id。 inspect 不回放成功工具历史;恢复优先使用交付、验收与产物证据,避免重做。 查询、提取、编辑、选择或保存模板草图则直接走 WorkGraph authoring 参考;这些操作不要求 active Execution,也不先运行 execution inspect。 -
执行图从
data.execution_contextXML 的<allowed_actions>、lane 和 binding 判断权限;模板草图使用 authoring 目录。mutation 前读取 fresh exact contract:{"domain":"execution","action":"contract","operation":"<operation>"}字段、identity、authority 和 revision 以本轮 contract 为准。
-
业务输入是
additionalProperties=false的 closed object,直接放在工具的input字段中。只提交 freshinput_schema.properties中属于当前意图的字段;opaque locator 来自 inspect/receipt,不从标题或正文猜。相同语义重试复用request_id,operation、目标或输入变化时换新 ID。 -
先检查
is_error;Execution 操作再按 operation 解读data.outcome:applied表示已应用;no_op无新增变更,结合 message 区分重放与 Plan Mode 校验;prepare 成功为prepared,草图提取为ready,版本选择为selected。rejected/superseded不能当成功。next_actions是建议,不授权,始终服从同一结果里的最新 lane、binding 和allowed_actions。
get_execution 只用 action=inspect,省略 operation/request_id,不走 invoke。Room 当前负责人自行 inspect 恢复协调权限,成员只获得观察。lane/background 不是界面模式;不要让用户切模式或再发“开始”。
context_status=refresh_required 时 inspect;round_refresh_required 结束旧轮。DM/Room 共用 Execution 但 session 独立;DM continuation 仅宿主 claim 后有 exact authority。
按当前动作读取参考
- 选择直接执行、Task、Subagent、Room 或 WorkGraph:references/structure-selection.md
- 派生、读取、等待、续聊或停止子智能体:references/subagents.md
- Plan 创建、替换、放弃或提交:references/graph-control.md
- assign、submit、review 或 takeover:references/responsibility-and-delivery.md
- 恢复、审计与 Goal 跨域收口:references/recovery-and-alignment.md
- 工作图查询、草图编辑与模板复用:references/workgraph-distillation.md
- Room/父子 Agent 的内容传递、并行与连续执行:references/communication-and-continuity.md
What ships with it
7 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 Changed 75b7e0244087
- 1mo ago Changed · +4 lines · -36 tokens per session 681178a06b10
- 1mo ago First seen · 53 lines · 72 tokens per session scan A b526c137e523
execution-orchestrator is a skill published in the GitHub repository nexus-research-lab/nexus (153 stars, last pushed today), licensed Apache-2.0. It adds 36 tokens to every session and 1,198 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.
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