bench-compare

bench-compare is a skill for Claude Code, Codex from afx-team/hebb-mind. It costs 18 tokens per session (297 once invoked), scanned A, original, MIT.

A comparison workflow for agent memory systems, which are tools that store and retrieve information for AI agents.

In plain words
What is it for?
Use it to compare memory types, retrieval methods, scaling, APIs, integrations, available performance data, and community activity, then produce a comparison table and recommendation.
Why use it?
It gathers technical and community evidence in one comparison so you can judge differences instead of inspecting each project separately.

Skill for Claude CodeCodex

Part of the hebb-mind plugin — 6 skills, 3 agents shipped together

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 skills/afx-team/hebb-mind/bench-compare
Any agent
npx skills add afx-team/hebb-mind --skill bench-compare
Clone the repo
git clone --depth 1 https://github.com/afx-team/hebb-mind

Made for: Claude Code, Codex.

Or install hebb-mind, the plugin that ships this one along with the rest of its 6 skills, 3 agents.

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 bench-compare

README.md
[![agentmods](https://agentmods.dev/badge/skills/afx-team/hebb-mind/bench-compare.svg)](https://agentmods.dev/skills/afx-team/hebb-mind/bench-compare)
Your own site
<a href="https://agentmods.dev/skills/afx-team/hebb-mind/bench-compare"><img src="https://agentmods.dev/badge/skills/afx-team/hebb-mind/bench-compare.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 297 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 $0.00018 $0.00297
Opus 5 $0.00009 $0.00148
Sonnet 5 $0.00004 $0.00059
Haiku 4.5 $0.00002 $0.00030

Measured 5d ago against content hash 8af4129653f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

bench-compare 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.

.agents/skills/bench-compare/SKILL.md · 34 lines

What it actually says

Benchmark & Compare

Compare multiple agent memory projects across key dimensions.

Instructions

  1. For each project in ${projects}:
    • Search for benchmarks, performance reports, and comparisons
    • Analyze the architecture and API design
    • Check community feedback (GitHub issues, discussions, Reddit, HN)
  2. Compare across these default criteria (override with ${criteria} if provided):
    • Memory Types: What types of memory are supported
    • Retrieval Strategy: How memories are retrieved (vector, graph, hybrid)
    • Scalability: How it handles large memory stores
    • API Design: Ease of integration
    • Ecosystem: Integrations with LLM frameworks
    • Performance: Latency, throughput if data available
    • Community: Stars, contributors, activity
  3. Output a comparison matrix (markdown table)
  4. Provide a recommendation summary with trade-offs
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. 5d ago First seen · 34 lines · 18 tokens per session scan A 8af4129653f4

Subscribe to this mod's changes

bench-compare is a skill published in the GitHub repository afx-team/hebb-mind (51 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 297 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.

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