Nexent is a zero-code platform for creating AI agents from natural-language instructions, combining tools, skills, memory, orchestration, constraints, feedback loops, and control planes. It is intended for people who need to build and deploy agents without writing orchestration code. The catalogue entries are rules and skills for working with Nexent.
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 ModelEngine-Group/nexent --skill skillsgit clone --depth 1 https://github.com/ModelEngine-Group/nexentWrote 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/modelengine-group/nexent/skills)<a href="https://agentmods.dev/skills/modelengine-group/nexent/skills"><img src="https://agentmods.dev/badge/skills/modelengine-group/nexent/skills/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/modelengine-group/nexent/skills"><img src="https://agentmods.dev/badge/skills/modelengine-group/nexent/skills.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 | $0.00078 | $0.00771 |
| Opus 5.5 | $0.00031 | $0.00308 |
| Sonnet 5.5 | $0.00016 | $0.00154 |
| Haiku 4.5 | $0.00008 | $0.00077 |
Grade A, and why
nexent-daily-test 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 3d 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.
What it actually says
Nexent Daily Test
以 config/test-policy.yaml 和本批 agent-input/execution-plan.json 为执行事实源。测试必须按最低有效层验证：单元/组件、服务/协议、真实 AI Runtime、浏览器 Journey、专项测试不能相互冒充。
开始前
确认环境变量 TEST_ROOT、NEXENT_REPO、BASE_SHA、HEAD_SHA、RESULT_DIR 和 TEST_BATCH 均存在。完整读取：
- 需要选择执行层和工具时读 references/execution-matrix.md。
- 写检查点、报告或判断退出状态时读 references/result-contract.md。
- 分析 Git diff、维护测试用例或 P0 Playwright 时读 references/maintenance-policy.md。
部署由外层入口调用 nexent-deploy 完成。部署证据不存在或站点未就绪时停止功能测试，记录基础设施阻塞；不要把所有用例批量写成产品失败。
不可破坏的边界
- 不把测试结果、Excel、截图、Trace、视频、Prompt、模型响应上传 GitHub，不写
GITHUB_STEP_SUMMARY，不创建 Issue/PR。 - 不修改 Nexent 业务代码。允许的持久维护目标只有本地测试资产；OpenCode 本批只能向
RESULT_DIR写候选内容，由外层脚本校验后再提升。 - 产品模型、Embedding、Rerank、VLM、STT、TTS 必须使用
config/models.yaml与config/secrets.env中启用的真实配置；故障注入可以使用本地受控端点。 - OAuth、CAS、外部 A2A/Nacos 的专用 Playwright Journey 服从
test-policy.yaml。标记为SKIPPED_BY_POLICY的项不得启动外部服务、不得改记为 PASS。 - Playwright 只用于
PW-E2EJourney；BE-UT、SDK-UT、FE-COMP、API-IT、CONTRACT、AGENT-IT、DEPLOY、SEC、REL 使用各自最低验证层。 - 只清理带本批
TEST_BATCH/run_id且能确认由本批创建的数据，不删除共享数据、Docker volume 或历史结果。
完成条件
execution-plan.json中每个活动项恰有一条本批结果；策略排除项保留预置的SKIPPED_BY_POLICY。- 每条执行结果在完成后立即追加到
checkpoints/results.jsonl，失败或阻塞附可定位证据。 agent-output/change-set.json、case-maintenance.json、playwright-maintenance.json均存在且符合参考文件约定。- 详细日志与证据只在
RESULT_DIR；标准输出保持最小且不含 secret、用例详情或模型回答。 - 不因为后续层失败丢弃前面层的真实结果；最终状态由 D6 汇总确定。
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.
- 3d ago First seen · 36 lines · 78 tokens per session scan A 85e7b979a593
nexent-daily-test is a skill published in the GitHub repository ModelEngine-Group/nexent (5,949 stars, last pushed today), licensed MIT. It adds 78 tokens to every session and 771 once invoked, about $0.0003 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 2026-10-13.
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