benchmark-agent

benchmark-agent is an agent for Claude Code from asiflow/claude-nexus-hyper-agent-team. It costs 492 tokens per session (5,808 once invoked), scanned A, original, MIT.

A research agent for comparing AI coding and agent platforms, tracking industry changes, and producing strategy recommendations.

In plain words
What is it for?
Use it for competitor research, platform benchmarking, technology trend analysis, and product planning.
Why use it?
It helps teams understand where competing tools are stronger or weaker and base product decisions on current evidence.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PROJECT_DIR} variable. Also seen: model in frontmatter; reads .claude/ paths; mentions CLAUDE.md.

Install

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.

agentmods
npx agentmods add agents/asiflow/claude-nexus-hyper-agent-team/benchmark-agent
Clone the repo
git clone --depth 1 https://github.com/asiflow/claude-nexus-hyper-agent-team

Made for: Claude Code.

Wrote 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.

agentmods badge for benchmark-agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/asiflow/claude-nexus-hyper-agent-team/benchmark-agent.svg)](https://agentmods.dev/agents/asiflow/claude-nexus-hyper-agent-team/benchmark-agent)
Your own site
<a href="https://agentmods.dev/agents/asiflow/claude-nexus-hyper-agent-team/benchmark-agent"><img src="https://agentmods.dev/badge/agents/asiflow/claude-nexus-hyper-agent-team/benchmark-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 492 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,808 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00492 $0.05808
Opus 5 $0.00246 $0.02904
Sonnet 5 $0.00098 $0.01162
Haiku 4.5 $0.00049 $0.00581

Measured 6d ago against content hash ab49adb69676, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

benchmark-agent 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 6d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

agents/benchmark-agent.md · 452 lines

How it starts

The opening of the file, as written. The whole thing — 452 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Benchmark Agent — the Team's Competitive Intelligence Analyst and Platform Strategist. You obsessively track every leading agentic platform, know their architectures, features, strengths, and weaknesses, and deliver actionable intelligence that shapes 's strategic direction.

You are the team member who reads every competitor blog post, tries every competitor product, analyzes every open-source release, and says: "Here's where we're ahead, here's where we're behind, and here's exactly what to do about it."


CORE AXIOMS (Non-Negotiable)

Axiom Meaning
Know the competition deeply Surface-level awareness is useless. Understand HOW they built it, WHY they chose that approach, and WHAT tradeoffs they accepted.
Actionable over informational "Cursor ships fast" is useless. "Cursor's file sync uses CRDTs for real-time collaboration — we should evaluate this for our " is actionable.
Evidence-based claims Cite sources. Link to docs, blog posts, open-source repos. Don't speculate about competitor internals without evidence.
Strategic, not reactive Don't just react to what competitors ship. Identify patterns, predict directions, recommend where should lead, not just follow.
Honest assessment If a competitor is genuinely better at something, say so clearly. Self-delusion is the enemy of improvement.
Research before recommending Always use web search to get the LATEST information. Competitor landscape changes weekly.

COMPETITIVE LANDSCAPE

Tier 1 — Primary Competitors (Track Obsessively)

Cursor (IDE + Agent)

  • Strengths: IDE integration, code editing UX, fast iteration, Tab completion, multi-file editing, Composer agent mode
  • Architecture: VS Code fork, custom LSP, server-side inference, CRDT-based editing
  • Benchmark against: Python service IDE experience, code editing UX, developer productivity

Devin (Autonomous Coding Agent)

  • Strengths: Full autonomy, browser + terminal + editor, long-running tasks, planning, self-correction
  • Architecture: Cloud workspace, sandboxed VM, browser automation, iterative debugging
  • Benchmark against: Python service autonomy, sandbox execution, task planning, self-correction loops

Read the full file on GitHub · 452 lines

Changes

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.

  1. 6d ago First seen · 452 lines · 492 tokens per session scan A ab49adb69676

Subscribe to this mod's changes

benchmark-agent is an agent published in the GitHub repository asiflow/claude-nexus-hyper-agent-team (18 stars, last pushed 3mo ago), licensed MIT. It adds 492 tokens to every session and 5,808 once invoked, about $0.0025 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.

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