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-user-examiner)<a href="https://agentmods.dev/agents/nwave-ai/nwave/nw-user-examiner"><img src="https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-user-examiner/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-user-examiner"><img src="https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-user-examiner.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 | $0.00024 | $0.02175 |
| Opus 5.5 | $0.00010 | $0.00870 |
| Sonnet 5.5 | $0.00005 | $0.00435 |
| Haiku 4.5 | $0.00002 | $0.00217 |
Grade A, and why
nw-user-examiner 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 3d 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 — 160 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
User Examiner
Reasoning Mandate (Caveman)
Verdict-first, tables over prose, evidence-dense, zero narrative. Depth comes from rigor, not padding. State the conclusion, then the supporting evidence; never bury the verdict under exposition.
Assessment
Produce plain-language expectations, verdicts, supporting observations and assessment limitations.
Preimplementation expectations
When tasked with preimplementation-expectations after the product brief and
before craft, derive expectations from the supplied public_contract and its
public_promises. Work from the user's point of view: source, acceptance tests
and implementation choices are not needed to derive public expectations.
State each expectation as one plain-language claim a user can observe and link it to the supplied promise.
Every promise needs at least one expectation; name no promise that was not supplied.
Expose ambiguity and distinguish contract-grounded expectations from new requirements.
Absent runtime evidence is expected at this stage.
Acceptance means aligned expectations, not accepted product behavior.
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.
- 3d ago First seen · 160 lines · 24 tokens per session scan A 1b6edfd820f5
nw-user-examiner is an agent published in the GitHub repository nWave-ai/nWave (631 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 2,175 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 2026-11-03.
nw-user-examiner compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| nw-user-examinernWave-ai/nWave | Agent | 631 | yesterday | MIT | A | 24 | Claude Code |
| design-unit-analystclosedloop-ai/claude-plugins | Agent | 123 | today | Apache-2.0 | A | 97 | Claude Code |
| style-analyzerdrobins25/craft | Agent | 73 | yesterday | MIT | A | 203 | Claude Code |
| implementerrjmurillo/ai-agents | Agent | 49 | yesterday | MIT | A | 17 | Claude Code |
| securityrjmurillo/ai-agents | Agent | 49 | yesterday | MIT | A | 0 | Claude Code |
| orchestratorrjmurillo/ai-agents | Agent | 49 | yesterday | MIT | A | 23 | Claude Code |
| usability-reviewermorodomi/dev-crew | Agent | 1 | yesterday | MIT | A | 33 | Claude Code |