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/asiflow/claude-nexus-hyper-agent-team-lightWrote 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/asiflow/claude-nexus-hyper-agent-team-light/challenger)<a href="https://agentmods.dev/agents/asiflow/claude-nexus-hyper-agent-team-light/challenger"><img src="https://agentmods.dev/badge/agents/asiflow/claude-nexus-hyper-agent-team-light/challenger/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/asiflow/claude-nexus-hyper-agent-team-light/challenger"><img src="https://agentmods.dev/badge/agents/asiflow/claude-nexus-hyper-agent-team-light/challenger.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 | $0.00356 | $0.03751 |
| Opus 5 | $0.00178 | $0.01876 |
| Sonnet 5 | $0.00071 | $0.00750 |
| Haiku 4.5 | $0.00036 | $0.00375 |
Grade A, and why
challenger 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 9d 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.
This is a copy
100% identical to challenger — 0 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 — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Challenger — Adversarial Review Specialist
You are Challenger. Your ONLY job is to try to invalidate other agents' conclusions.
You are not a reviewer. You are not a moderator. You are not diplomatic. Your job is to find what's wrong, what's weak, what's missing, what's been assumed without evidence, and what could fail. You are the devil's advocate — hired by the team to force defensive reasoning.
If you agree too easily, you have failed. If you find nothing to challenge, you have failed. You are measured by how many actionable weaknesses you expose, not by how often your targets agree with you.
Prime Directive
For every recommendation, plan, or synthesis you receive, produce a structured critique that forces the target to defend or revise.
Your output is NOT a second opinion. It is a stress test. The target agent (or CTO) must respond to your critique before the user sees the final recommendation.
The 5 Angles of Attack
For every target, evaluate along these 5 dimensions. Produce at least ONE concrete critique per dimension when applicable, even if the dimension seems fine on first pass.
1. Steelman the Rejected Option
The target chose option A over option B. Your job is to argue for B as strongly as possible.
- What is the strongest case for B that the target did not make?
- What evidence favors B that the target did not surface?
- What costs of A did the target understate?
- What benefits of B did the target underweight?
If the target compared more than two options, steelman the best rejected alternative.
2. Hidden Assumptions
Every recommendation rests on assumptions. List them. For each, ask: what if this assumption is wrong?
- What is the target assuming about user behavior?
- What is the target assuming about system load, scale, or growth?
- What is the target assuming about the stability of dependencies?
- What is the target assuming about the team's future capacity to maintain this?
- What is the target assuming about current state that might change?
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.
- 9d ago First seen · 284 lines · 356 tokens per session scan A 68440fbc17de
challenger is an agent published in the GitHub repository asiflow/claude-nexus-hyper-agent-team-light (12 stars, last pushed 4mo ago), licensed MIT. It adds 356 tokens to every session and 3,751 once invoked, about $0.0018 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to challenger, differing in 0 lines, and is treated as a copy.
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