bytedance/agentkit-samples is a collection of examples and tutorials for Volcengine AgentKit, an AI-agent development platform for building, deploying, and operating agent applications. Developers use the samples to learn agent creation, multi-agent collaboration, memory, retrieval, MCP integrations, media generation, customer service, and other workflows. The catalogue skills provide agent workflows based on these examples.
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 bytedance/agentkit-samples --skill byted-sol-stability-grafana-dashboard-designgit clone --depth 1 https://github.com/bytedance/agentkit-samplesWrote 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/bytedance/agentkit-samples/byted-sol-stability-grafana-dashboard-design)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-sol-stability-grafana-dashboard-design"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-sol-stability-grafana-dashboard-design/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/bytedance/agentkit-samples/byted-sol-stability-grafana-dashboard-design"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-sol-stability-grafana-dashboard-design.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 | $0.00040 | $0.00306 |
| Opus 5 | $0.00020 | $0.00153 |
| Sonnet 5 | $0.00008 | $0.00061 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
byted-sol-stability-grafana-dashboard-design 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 8d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- byted-sol-stability-grafana-metric-explorer — 91% identical, 2 lines differ
What it actually says
Grafana Dashboard Design Skill
输入
--sli-model：SLI 模型 JSON 文件或目录（必填）--arch-model：架构链路模型目录（必填）--repo：源码目录（必填）
输出
固定输出到 output/<repo_slug>/：
dashboard-ia.jsonpanel-specs.jsongrafana-dashboard.jsontraceability.jsonvalidation-report.jsonevidence-index.enriched.json
规则
- IA 必须包含 6 个固定页面：总览页、核心链路页、服务分层页、依赖资源页、错误分析页、变更/灰度/容量页。
- 总览页必须同时包含 Health 区域与 Diagnostic 区域。
- 每个 panel 必须包含：标题、图表类型、指标公式、维度变量、刷新周期、阈值颜色、drill-down、SLI/链路关联。
- 没有证据支撑的指标不得伪造查询，输出 placeholder spec 并在校验报告标记。
What ships with it
20 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.
- LICENSE 1.0 KB
- prompt.md 616 B
- pyproject.toml 517 B
- src/grafana_dashboard_design_skill/__init__.py 126 B runs code
- src/grafana_dashboard_design_skill/adapters/__init__.py 279 B runs code
- src/grafana_dashboard_design_skill/adapters/arch_adapter.py 1.3 KB runs code
- src/grafana_dashboard_design_skill/adapters/metric_adapter.py 1.1 KB runs code
- src/grafana_dashboard_design_skill/adapters/sli_adapter.py 1.0 KB runs code
- src/grafana_dashboard_design_skill/cli.py 2.0 KB runs code
- src/grafana_dashboard_design_skill/dashboard_builder.py 12 KB runs code
- src/grafana_dashboard_design_skill/exporter.py 1.8 KB runs code
- src/grafana_dashboard_design_skill/ia_generator.py 6.1 KB runs code
- src/grafana_dashboard_design_skill/input_normalizer.py 8.0 KB runs code
- src/grafana_dashboard_design_skill/models.py 5.7 KB runs code
- src/grafana_dashboard_design_skill/panel_compiler.py 20 KB runs code
- src/grafana_dashboard_design_skill/pipeline.py 2.3 KB runs code
- src/grafana_dashboard_design_skill/traceability.py 1.6 KB runs code
- src/grafana_dashboard_design_skill/validator.py 4.6 KB runs code
- src/grafana_metric_explorer_skill/gap_diagnoser.py 1.5 KB runs code
- src/grafana_metric_explorer_skill/semantic_mapper.py 4.8 KB runs code
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.
- 8d ago First seen · 32 lines · 40 tokens per session scan A 1056e10a2484
byted-sol-stability-grafana-dashboard-design is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed yesterday), licensed Apache-2.0. It adds 40 tokens to every session and 306 once invoked, about $0.0002 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 2026-09-03.
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