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 HorizonRobotics/OE-Skills --skill hb-analyzer-performancegit clone --depth 1 https://github.com/HorizonRobotics/OE-SkillsWrote 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/horizonrobotics/oe-skills/hb-analyzer-performance)<a href="https://agentmods.dev/skills/horizonrobotics/oe-skills/hb-analyzer-performance"><img src="https://agentmods.dev/badge/skills/horizonrobotics/oe-skills/hb-analyzer-performance/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/horizonrobotics/oe-skills/hb-analyzer-performance"><img src="https://agentmods.dev/badge/skills/horizonrobotics/oe-skills/hb-analyzer-performance.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 | $0.00163 | $0.00587 |
| Opus 5 | $0.00081 | $0.00293 |
| Sonnet 5 | $0.00033 | $0.00117 |
| Haiku 4.5 | $0.00016 | $0.00059 |
Grade A, and why
hb-analyzer-performance 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 11d 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
HB Analyzer 模型性能分析
当用户需要在 Horizon Robotics J5/J6 平台上使用 hb_analyzer 工具分析模型性能时，使用此技能。
何时使用
- 用户要求分析模型性能
- 用户想检查模型带宽或延时
- 用户提到 "hb_analyzer" 或性能评测
- 用户需要性能报告或瓶颈分析
- 用户想评估浮点/量化模型
工作流程
按照以下步骤执行性能分析。详细说明请参考 references/ 目录中的文档。
第 1 步：理解需求
参考：references/step1-requirements.md
第 2 步：运行分析
参考：references/step2-run-analysis.md
第 3 步：检查结果
参考：references/step3-check-results.md
第 4 步：解读报告
参考：references/step4-interpret-results.md
重要：对于包含 Transformer/Attention 结构的模型，或延时不达标需要深入分析的场景，必须执行 step4 中的进阶分析（§F Block 级深度分析、§G 量化配置精度审计、§H 模型结构与硬件匹配分析），不能仅停留在算子类型聚合（
hbm_op_time_by_type）层面。
第 5 步：提供建议
参考：references/step5-recommendations.md
快速参考
支持的模型格式：
- ONNX (.onnx)
- HBIR (.bc)
- HBM (.hbm)
关键输出文件：
hb_analyzer_report.html- 交互式性能报告analysis_summary.json- 详细分析数据hb_analyzer*.log- 执行日志
常见问题：参考 references/troubleshooting.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.
- 11d ago First seen · 57 lines · 163 tokens per session scan A 1bd4924497d5
hb-analyzer-performance is a skill published in the GitHub repository HorizonRobotics/OE-Skills (19 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 163 tokens to every session and 587 once invoked, about $0.0008 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 2026-08-30.
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