Cross-Encoder Reranking

Cross-Encoder Reranking is a skill for Claude Code, Codex from Raidriar7170/hermes-skilleval. It costs 20 tokens per session (66 once invoked), scanned A, original, MIT.

A ranking step that compares a search query with each retrieved result to judge which matches are most relevant.

In plain words
What is it for?
Use it to resolve similar skill descriptions and improve the ordering of retrieved results.
Why use it?
It helps sort similar candidates more accurately after an initial meaning-based search.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to resolve similar skill descriptions and improve the ordering of retrieved results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/raidriar7170/hermes-skilleval/cross-encoder-reranking
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.

Any agent
npx skills add Raidriar7170/hermes-skilleval --skill cross-encoder-reranking
Clone the repo
git clone --depth 1 https://github.com/Raidriar7170/hermes-skilleval

Made for: Claude Code, Codex.

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 Cross-Encoder Reranking

README.md
[![agentmods](https://agentmods.dev/badge/skills/raidriar7170/hermes-skilleval/cross-encoder-reranking/github.svg)](https://agentmods.dev/skills/raidriar7170/hermes-skilleval/cross-encoder-reranking)
Your own site
<a href="https://agentmods.dev/skills/raidriar7170/hermes-skilleval/cross-encoder-reranking"><img src="https://agentmods.dev/badge/skills/raidriar7170/hermes-skilleval/cross-encoder-reranking/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.

agentmods 80×15 button for Cross-Encoder Reranking

Your own site · 80×15
<a href="https://agentmods.dev/skills/raidriar7170/hermes-skilleval/cross-encoder-reranking"><img src="https://agentmods.dev/badge/skills/raidriar7170/hermes-skilleval/cross-encoder-reranking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 66 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00020 $0.00066
Opus 5 $0.00010 $0.00033
Sonnet 5 $0.00004 $0.00013
Haiku 4.5 $0.00002 $0.00007

Measured 9d ago against content hash 81322f750971, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

Cross-Encoder Reranking 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.

benchmarks/skills/retrieval/cross-encoder-reranking/SKILL.md · 13 lines

What it actually says

Cross-Encoder Reranking

Rerank retrieved candidates with a pairwise neural relevance model.

Use Cases

  • Resolve similar skill descriptions.
  • Improve top-choice ranking after embedding retrieval.
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. 9d ago First seen · 13 lines · 20 tokens per session scan A 81322f750971

Subscribe to this mod's changes

Cross-Encoder Reranking is a skill published in the GitHub repository Raidriar7170/hermes-skilleval (123 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 66 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 2026-09-03.

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