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/nwave-ai/nwave/nw-bugfixnpx skills add nWave-ai/nWave --skill nw-bugfixgit 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/skills/nwave-ai/nwave/nw-bugfix)<a href="https://agentmods.dev/skills/nwave-ai/nwave/nw-bugfix"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-bugfix.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.01466 |
| Opus 5 | $0.00012 | $0.00733 |
| Sonnet 5 | $0.00005 | $0.00293 |
| Haiku 4.5 | $0.00002 | $0.00147 |
Grade A, and why
nw-bugfix 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 5d 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NW-BUGFIX: Defect Resolution Workflow
Wave: CROSS_WAVE Agents: Rex (nw-troubleshooter) → selected crafter (OOP or FP per project paradigm)
Overview
End-to-end bug fix pipeline: diagnose root cause, review findings with user, then deliver regression tests that fail with the bug and pass with the fix. Ensures every defect produces a test that prevents recurrence.
Flow
INPUT: "{bug-description}"
│
├─ Phase 1: Root Cause Analysis (@nw-troubleshooter)
│ └─ /nw-root-why "{bug-description}"
│ └─ Output: RCA document with root cause chain + fix proposal
│
├─ Phase 2: User Review (INTERACTIVE — STOP here)
│ └─ Present RCA findings to user
│ └─ User confirms root cause + approves fix direction
│ └─ If user rejects → refine RCA or stop
│
└─ Phase 3: Regression Test + Fix
└─ /nw-deliver "fix-{bug-id}" — roadmap-based bugfix flow
└─ Paradigm detection determines crafter (OOP or FP)
└─ Regression test (RED) → fix (GREEN) → verify (COMMIT)
Execution Steps
Phase 1: Root Cause Analysis
Skill loading: The troubleshooter loads its skills from ~/.claude/skills/nw-{skill}/SKILL.md:
nw-five-whys-methodology— core investigation methodologynw-investigation-techniques— systematic debugging patternsnw-post-mortem-framework— structured incident analysis
Invoke @nw-troubleshooter via Agent tool:
Execute *investigate-root-cause for the following defect:
{bug-description}
Configuration:
- investigation_depth: 5
- multi_causal: true
- evidence_required: true
Produce:
1. Root cause chain (5 Whys with evidence at each level)
2. Contributing factors
3. Proposed fix with specific code changes
4. Files affected
5. Risk assessment of the fix
After the troubleshooter returns, present findings to the user. Include:
- Root cause summary (1-2 sentences)
- Evidence chain
- Proposed fix
- Files to modify
- Risk level
STOP and wait for user confirmation before proceeding to Phase 3.
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.
- 5d ago First seen · 166 lines · 23 tokens per session scan A 3c64388ea528
nw-bugfix is a skill published in the GitHub repository nWave-ai/nWave (604 stars, last pushed 5d ago), licensed MIT. It adds 23 tokens to every session and 1,466 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
agent-implementer-sparc-coder
Agent skill for implementer-sparc-coder - invoke with $agent-implementer-sparc-coder.
implement
Use in the Implement phase whenever writing or editing production Java code, or fixing a bug, in a Spring/Spring Boot project. Enforces test-first (red-green-refactor), executes the approved plan step by step, and honors the project's path-scoped tech-stack rules and the task's enforcement set. Preloaded into…
agent-tdd-london-swarm
Agent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm.
Pair Programming
AI-assisted pair programming with multiple modes (driver$navigator$switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with…
V3 Security Overhaul
Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.
moai-workflow-tdd
Test-Driven Development workflow specialist using RED-GREEN-REFACTOR cycle for test-first software development. Use when developing new features from scratch or when behavior specification drives implementation.