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 fxd0h/Axelera-Voyager-Local-Assistant --skill voyager-helpgit clone --depth 1 https://github.com/fxd0h/Axelera-Voyager-Local-AssistantWrote 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/fxd0h/axelera-voyager-local-assistant/voyager-help)<a href="https://agentmods.dev/skills/fxd0h/axelera-voyager-local-assistant/voyager-help"><img src="https://agentmods.dev/badge/skills/fxd0h/axelera-voyager-local-assistant/voyager-help/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/fxd0h/axelera-voyager-local-assistant/voyager-help"><img src="https://agentmods.dev/badge/skills/fxd0h/axelera-voyager-local-assistant/voyager-help.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 | $0.00051 | $0.00604 |
| Opus 5.5 | $0.00020 | $0.00242 |
| Sonnet 5.5 | $0.00010 | $0.00121 |
| Haiku 4.5 | $0.00005 | $0.00060 |
Grade A, and why
voyager-help 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 2mo 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voyager SDK Help
Get help with Voyager SDK for Axelera AI hardware
Important Context
Answer with explanations only; do not change code or run pipelines.
Instructions
Answer questions about Voyager SDK: $ARGUMENTS
Step 1: Data Source & Environment Selection
{{INCLUDE common/voyager-sdk-setup.md}}
Step 2: Answer the Question
After gathering information from the selected source:
-
Synthesize Response
- Always frame answers in context of Axelera AI hardware
- Provide Voyager SDK-specific code examples only after checking SDK/RAG evidence
- Reference specific SDK components (InferenceStream, deploy.py, inference.py)
- Distinguish
documented,observed locally, andnot validated here - Include a concise source note naming the SDK file, command output, or RAG result used
-
Include Practical Examples
- Show actual command-line usage
- Include YAML pipeline snippets when relevant
- Reference model zoo locations (
ax_models/zoo/)
-
Hardware Context
- Mention detected Axelera device when relevant
- Include AIPU core configuration options
- Reference hardware capabilities such as vaapi, opencl, or opengl only when
.voyager-runtime.jsonor SDK documentation supports them for this host
Common Topics
| Topic | RAG Query | Key Files |
|---|---|---|
| Pipeline YAML | "pipeline YAML structure" | ax_models/zoo/**/*.yaml |
| InferenceStream | "InferenceStream API" | axelera/app/stream.py |
| Deployment | "model deployment compile" | deploy.py, axelera/app/compile.py |
| Input Sources | "USB RTSP video sources" | axelera/app/config.py |
| Custom Operators | "custom operator pipeline" | axelera/app/operators/ |
| Trackers | "ByteTrack OC-SORT" | trackers/ |
What ships with it
6 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.
- 2mo ago First seen · 66 lines · 51 tokens per session scan A 766dbfb42e04
voyager-help is a skill published in the GitHub repository fxd0h/Axelera-Voyager-Local-Assistant (4 stars, last pushed 3mo ago), licensed MIT. It adds 51 tokens to every session and 604 once invoked, about $0.0002 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 2026-08-31.
voyager-help compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| voyager-helpfxd0h/Axelera-Voyager-Local-Assistant | Skill | 4 | 3mo ago | MIT | A | 51 | Claude Code |
| bubbaloop-physical-aikornia/bubbaloop | Skill | 30 | 4mo ago | Apache-2.0 | A | 40 | Claude Code, Codex |
| using-bubbaloopkornia/bubbaloop | Skill | 30 | 4mo ago | Apache-2.0 | B | 53 | Claude Code |
| vss-generate-video-calibrationNVIDIA-AI-Blueprints/video-search-and-summarization | Skill | 2.0k | yesterday | Apache-2.0 | A | 55 | Claude Code, Codex |
| vss-manage-alertsNVIDIA-AI-Blueprints/video-search-and-summarization | Skill | 2.0k | yesterday | Apache-2.0 | B | 54 | Claude Code, Codex |
| rebot-arm-graspSeeed-Projects/Seeed-Jetson-DevelopTool | Skill | 56 | yesterday | MIT | A | 65 | Codex |
| uuid-error-fixSeeed-Projects/Seeed-Jetson-DevelopTool | Skill | 56 | yesterday | MIT | A | 49 | Claude Code, Codex |