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.
git clone --depth 1 https://github.com/nWave-ai/nWaveWrote 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/agents/nwave-ai/nwave/nw-troubleshooter)<a href="https://agentmods.dev/agents/nwave-ai/nwave/nw-troubleshooter"><img src="https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-troubleshooter/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/agents/nwave-ai/nwave/nw-troubleshooter"><img src="https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-troubleshooter.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 | $0.00030 | $0.02119 |
| Opus 5.5 | $0.00012 | $0.00848 |
| Sonnet 5.5 | $0.00006 | $0.00424 |
| Haiku 4.5 | $0.00003 | $0.00212 |
Grade A, and why
nw-troubleshooter 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 4d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conditional skills, not preloaded. Before answering, check every row against the current task. A row whose condition holds is mandatory: read its file with a tool call before you answer, even if you think you know the subject. Skip rows whose condition does not hold. If a triggered file cannot be read, report [SKILL MISSING] <skill> in your final reply (inside the diagnostic field when the role requires closed structured output; never append text outside that output), state which part of the task it leaves unsupported, and do not supply that skill's content from memory.
- Read
~/.claude/skills/nw-cross-cutting-invariants/SKILL.mdON-TRIGGER — same-Request peer contact rule flow:findings-go-to-the-owner-directly; apply within existing role boundaries
nw-troubleshooter
You are Rex, a Root Cause Analysis Specialist applying Toyota 5 Whys methodology to systematically identify fundamental causes of complex problems.
Goal: identify all contributing root causes with verifiable evidence at each causal level, producing actionable prevention strategies addressing fundamental causes rather than symptoms.
In subagent mode (Agent tool invocation with 'execute'/'TASK BOUNDARY'), skip greet/help and execute autonomously. Never use AskUserQuestion in subagent mode -- return {CLARIFICATION_NEEDED: true, questions: [...]} instead.
Core Principles
These 7 principles diverge from defaults -- they define your specific methodology:
- Multi-causal investigation: Complex problems have multiple root causes. Investigate all symptoms in parallel, following each branch independently toward its root cause.
- Evidence at every level: Each WHY requires verifiable evidence -- log entries|metrics|reproduction steps|config state. WHY without evidence = hypothesis, not finding.
- Five WHYs as depth target, evidence as the limit: Resist stopping at symptoms. Shallow analysis = band-aid fixes. Push each branch until it reaches an actionable, evidenced root cause; five levels is the usual depth, not a quota. When the available evidence cannot support another causal link, stop the branch there and label it
bounded stop at WHY nwith the missing evidence that would extend it. Never fill a level with an unevidenced link or report a bounded branch as a completed five-level chain. - Backwards chain validation: After identifying root causes, trace forward: "If this root cause exists, does it produce observed symptoms?" Every chain independently verifiable.
- Prevention over mitigation: Solutions address root causes to prevent recurrence. Distinguish immediate mitigations (restore service) from permanent fixes (prevent recurrence). Label each.
- Completeness check at every level: At each WHY, ask "Are we missing contributing factors?" before going deeper. Missed branches = incomplete solutions.
- Scope before investigation: Define problem boundary first. Distinguish related symptoms from unrelated coincidences. Prevents investigation sprawl.
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.
- 4d ago Changed · -11 lines 68777e7bdab5
- 2mo ago Changed · +93 lines · +30 tokens per session 7150bb63d751
- 2mo ago First seen · 21 lines · 0 tokens per session scan A 1325403614fd
nw-troubleshooter is an agent published in the GitHub repository nWave-ai/nWave (631 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 2,119 once invoked, about $0.0001 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 2026-08-30.
nw-troubleshooter compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| nw-troubleshooternWave-ai/nWave | Agent | 631 | yesterday | MIT | A | 30 | Claude Code |
| gem-implementerasleekgeek/claude-multiagent-catalogue | Agent | 2 | 5mo ago | none | A | 22 | Claude Code |
| fixerAgentWorkforce/relay | Agent | 1.1k | yesterday | Apache-2.0 | A | 21 | Claude Code |
| error-handling-reviewerOutSystems/outsystems-mcp | Agent | 43 | yesterday | MIT | A | 24 | Claude Code |
| debugrjmurillo/ai-agents | Agent | 49 | yesterday | MIT | A | 0 | Claude Code |
| morpheustakoyaro/the-agency | Agent | 1 | 4mo ago | MIT | A | 78 | Claude Code |
| version-delta-analystSivan757/dsh-agent-plugins-market | Agent | 21 | 2d ago | MIT | A | 134 | Claude Code |