voyager-debug

voyager-debug is a skill for Claude Code from fxd0h/Axelera-Voyager-Local-Assistant. It costs 103 tokens per session (2,122 once invoked), scanned A, original, MIT.

A research helper for developing a well-sourced video dossier. It gathers verified facts, background, existing coverage, possible gaps, current discussion, timing opportunities, and usable visual sources.

In plain words
What is it for?
Use it to research a video topic, check what is known and already covered, identify missing perspectives, and collect evidence and visual references.
Why use it?
It reduces the risk of relying on incorrect facts or repeating coverage that already exists without finding a distinct angle.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to research a video topic, check what is known and already covered, identify missing perspectives, and collect evidence and visual references.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fxd0h/axelera-voyager-local-assistant/voyager-debug
Install

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.

Any agent
npx skills add fxd0h/Axelera-Voyager-Local-Assistant --skill voyager-debug
Clone the repo
git clone --depth 1 https://github.com/fxd0h/Axelera-Voyager-Local-Assistant

Made for: Claude Code.

Wrote 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.

agentmods badge for voyager-debug

README.md
[![agentmods](https://agentmods.dev/badge/skills/fxd0h/axelera-voyager-local-assistant/voyager-debug/github.svg)](https://agentmods.dev/skills/fxd0h/axelera-voyager-local-assistant/voyager-debug)
Your own site
<a href="https://agentmods.dev/skills/fxd0h/axelera-voyager-local-assistant/voyager-debug"><img src="https://agentmods.dev/badge/skills/fxd0h/axelera-voyager-local-assistant/voyager-debug/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.

agentmods 80×15 button for voyager-debug

Your own site · 80×15
<a href="https://agentmods.dev/skills/fxd0h/axelera-voyager-local-assistant/voyager-debug"><img src="https://agentmods.dev/badge/skills/fxd0h/axelera-voyager-local-assistant/voyager-debug.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,122 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00103 $0.02122
Opus 5 $0.00051 $0.01061
Sonnet 5 $0.00021 $0.00424
Haiku 4.5 $0.00010 $0.00212

Measured 12d ago against content hash 69c7a2a77c65, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

voyager-debug 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 12d 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.

skills/voyager-debug/SKILL.md · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Debug Pipeline or Model

Systematically debug and fix issues with Axelera AI pipelines, models, or inference

Use This Skill When / Not When

  • Use when: the user brings an existing error, crash, log, regression, or wrong output.
  • Use when: the SDK install is missing, broken, or old, the driver/firmware mismatch, or the Metis board is not detected -- follow references/install-and-board-health.md.
  • Not when: debugging is part of building a brand-new pipeline -- route to voyager-launch.
  • Not when: they want pure performance measurement of a working pipeline -- route to voyager-bench.
  • Process precedence: when a failure is on the table, this skill runs before any domain skill changes code or config.

Instructions

Debug the specified issue: $ARGUMENTS

{{INCLUDE common/voyager-sdk-setup.md}}

{{INCLUDE common/voyager-task-integration.md}}

Step 1: Issue Classification

Identify the type of issue:

  • Deployment Error: Model fails to compile/deploy
  • Runtime Error: Inference fails or crashes
  • Accuracy Issue: Model produces incorrect results
  • Performance Issue: Low throughput or high latency
  • Display Issue: Visualization problems

Step 2: Environment Diagnostics

Run initial diagnostics. Only probe hardware directly when .voyager-runtime.json says execution.mode is execute_on_device.

# Check environment
echo "AXELERA_FRAMEWORK: $AXELERA_FRAMEWORK"
echo "AXELERA_RUNTIME_DIR: $AXELERA_RUNTIME_DIR"
echo "PYTHONPATH: $PYTHONPATH"

# Check hardware on a Voyager SDK host
axdevice

# Check Python environment
python --version
pip list | grep axelera

# Version evidence for install/driver/firmware problems
axversion            # SDK version
axversion --driver   # driver version
axdevice -v          # firmware + board controller

If the problem is the environment itself (SDK missing or old, driver or firmware mismatch, board not detected, ENOTTY/AXL_IOCTL errors), follow references/install-and-board-health.md: it carries the fresh-install commands, the v1.7.0 compatibility matrix, the upgrade path including the post-upgrade driver/model-recompile trap, and the board-not-detected ladder. Firmware flashing, device reboots, and system package installs always need explicit user confirmation first.

Read the full file on GitHub · 330 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 330 lines · 103 tokens per session scan A 69c7a2a77c65

Subscribe to this mod's changes

voyager-debug is a skill published in the GitHub repository fxd0h/Axelera-Voyager-Local-Assistant (4 stars, last pushed 1mo ago), licensed MIT. It adds 103 tokens to every session and 2,122 once invoked, about $0.0005 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 2026-08-31.