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-buildgit 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-build)<a href="https://agentmods.dev/skills/fxd0h/axelera-voyager-local-assistant/voyager-build"><img src="https://agentmods.dev/badge/skills/fxd0h/axelera-voyager-local-assistant/voyager-build/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-build"><img src="https://agentmods.dev/badge/skills/fxd0h/axelera-voyager-local-assistant/voyager-build.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 | $0.00034 | $0.01384 |
| Opus 5.5 | $0.00014 | $0.00554 |
| Sonnet 5.5 | $0.00007 | $0.00277 |
| Haiku 4.5 | $0.00003 | $0.00138 |
Grade B, and why
voyager-build scanned grade B with 1 finding 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt install build-essential cmake How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build Native Components
Build GStreamer operators, trackers, and C/C++ examples for Axelera AI hardware
Instructions
Build the specified components: $ARGUMENTS
Step 0: Data Source & Environment Selection
{{INCLUDE common/voyager-sdk-setup.md}}
Step 0.5: Axelera Voyager Project & Task Integration
{{INCLUDE common/voyager-task-integration.md}}
Step 1: Environment Verification
- Read
.voyager-runtime.json. Native component builds require a supported Linux Voyager SDK host. Inpackage_for_linuxmode, provide build commands and caveats instead of claiming the build ran. - Verify Axelera environment is activated:
if [ -z "$AXELERA_RUNTIME_DIR" ]; then echo "Please activate environment: source venv/bin/activate" exit 1 fi
Step 2: Component Identification
Parse build target from arguments:
all: Build everything (operators, trackers, examples)operators: Build GStreamer pipeline operatorstrackers: Build object tracking algorithmsexamples: Build C/C++ example applicationsclean: Clean all build artifacts
Step 3: Build Operators
GStreamer operators provide pipeline processing capabilities:
# Build all operators
make operators
# Or build directly from operators directory
cd operators && make
# Clear CMake cache if needed (target lives in operators/)
make -C operators clear-cmake-cache
Operators built:
axstreamer: Core streaming operatorgstaxstreamer: GStreamer integrationPillowResize: Image resizing operator
Step 4: Build Trackers
Object tracking algorithms:
# Build all trackers
make trackers
# Or build directly
cd trackers && make
Trackers built:
ByteTrack: Fast multi-object trackerOC-SORT: Observation-centric SORT trackerTrackTrack: Tracker undertrackers/algorithms/tracktrack
Step 5: Build Examples
C/C++ example applications:
# Build all examples
make examples
# Requires operators to be built first
make operators && make examples
# Or build directly
cd examples && make
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 · 251 lines · 34 tokens per session scan B 246d3a816e4e
voyager-build is a skill published in the GitHub repository fxd0h/Axelera-Voyager-Local-Assistant (4 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 1,384 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
voyager-build compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| voyager-buildfxd0h/Axelera-Voyager-Local-Assistant | Skill | 4 | 3mo ago | MIT | B | 34 | Claude Code |
| doca-argpNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 277 | Claude Code, Codex |
| holoscan-module-lifecycleNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 47 | Claude Code, Codex |
| embedded-stm32Mindrally/skills | Skill | 297 | 29d ago | Apache-2.0 | A | 87 | Claude Code |
| embedded-firmware-devAmethystLuna/embedded-workbench | Skill | 30 | yesterday | MIT | A | 59 | Claude Code |
| hls-c2rtlvibeic/vibe-ic | Skill | 32 | today | Apache-2.0 | A | 79 | Claude Code |
| hip-kernel-optimizationAMD-AGI/Apex | Skill | 78 | 1mo ago | MIT | A | 56 | Claude Code, Codex |