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 agentmods add skills/mihaipora/zorya/debugnpx skills add mihaipora/zorya --skill debuggit clone --depth 1 https://github.com/mihaipora/zoryaWhat 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 | $0.00040 | $0.02933 |
| Opus 5 | $0.00020 | $0.01466 |
| Sonnet 5 | $0.00008 | $0.00587 |
| Haiku 4.5 | $0.00004 | $0.00293 |
Grade D, and why
debug scanned grade D with 2 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 2d 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.
--dangerously-skip-permissions cannot be used with root/sudo privileges Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf data/sessions/ This is a copy
92% identical to debug — 32 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NanoClaw Container Debugging
This guide covers debugging the containerized agent execution system.
Architecture Overview
Host (macOS) Container (Linux VM)
─────────────────────────────────────────────────────────────
src/container-runner.ts container/agent-runner/
│ │
│ spawns container │ runs Claude Agent SDK
│ with volume mounts │ with MCP servers
│ │
├── data/env/env ──────────────> /workspace/env-dir/env
├── groups/{folder} ───────────> /workspace/group
├── data/ipc/{folder} ────────> /workspace/ipc
├── data/sessions/{folder}/.claude/ ──> /home/node/.claude/ (isolated per-group)
└── (main only) project root ──> /workspace/project
Important: The container runs as user node with HOME=/home/node. Session files must be mounted to /home/node/.claude/ (not /root/.claude/) for session resumption to work.
Log Locations
| Log | Location | Content |
|---|---|---|
| Main app logs | logs/nanoclaw.log |
Host-side WhatsApp, routing, container spawning |
| Main app errors | logs/nanoclaw.error.log |
Host-side errors |
| Container run logs | groups/{folder}/logs/container-*.log |
Per-run: input, mounts, stderr, stdout |
| Claude sessions | ~/.claude/projects/ |
Claude Code session history |
Enabling Debug Logging
Set LOG_LEVEL=debug for verbose output:
# For development
LOG_LEVEL=debug npm run dev
# For launchd service (macOS), add to plist EnvironmentVariables:
<key>LOG_LEVEL</key>
<string>debug</string>
# For systemd service (Linux), add to unit [Service] section:
# Environment=LOG_LEVEL=debug
Debug level shows:
- Full mount configurations
- Container command arguments
- Real-time container stderr
Common Issues
1. "Claude Code process exited with code 1"
Check the container log file in groups/{folder}/logs/container-*.log
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.
- 2d ago First seen · 350 lines · 40 tokens per session scan D d774a2bc45d6
debug is a skill published in the GitHub repository mihaipora/zorya (5 stars, last pushed 6mo ago), licensed MIT. It adds 40 tokens to every session and 2,933 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it D with 2 findings (asks for root, recursive force delete). It is 92% identical to debug, differing in 32 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…