corpus-kb: Command for Claude Code

.claude/commands/corpus-neighbors-classify.md

corpus-neighbors-classify is a command for Claude Code from moliver28/corpus-kb. It costs 9 tokens per session (275 once invoked), scanned A, original, MIT.

A text-classification command that assigns labels from the labels of nearby labeled examples in embedding space. Nearby examples are texts with similar numerical representations.

In plain words
What is it for?
Use it to classify text from labeled neighbors, review the supporting examples, and tune the number of neighbors and rejection rules.
Why use it?
It lets local examples guide classification without hiding which examples supported each result, while highlighting risks from bad or overrepresented examples.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is moliver28/corpus-kb's own configuration. It tells Claude Code how to work on corpus-kb itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything corpus-kb configures →

Reuse

Borrowing it

Nothing to install: this file belongs to moliver28/corpus-kb. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/moliver28/corpus-kb/master/.claude/commands/corpus-neighbors-classify.md
Clone the repo
git clone --depth 1 https://github.com/moliver28/corpus-kb

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 corpus-neighbors-classify

README.md
[![agentmods](https://agentmods.dev/badge/commands/moliver28/corpus-kb/corpus-neighbors-classify/github.svg)](https://agentmods.dev/commands/moliver28/corpus-kb/corpus-neighbors-classify)
Your own site
<a href="https://agentmods.dev/commands/moliver28/corpus-kb/corpus-neighbors-classify"><img src="https://agentmods.dev/badge/commands/moliver28/corpus-kb/corpus-neighbors-classify/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 corpus-neighbors-classify

Your own site · 80×15
<a href="https://agentmods.dev/commands/moliver28/corpus-kb/corpus-neighbors-classify"><img src="https://agentmods.dev/badge/commands/moliver28/corpus-kb/corpus-neighbors-classify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 9 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 275 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 $0.00009 $0.00275
Opus 5.5 $0.00004 $0.00110
Sonnet 5.5 $0.00002 $0.00055
Haiku 4.5 $0.00001 $0.00028

Measured 13d ago against content hash 61313b22a6b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

corpus-neighbors-classify 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 13d 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.

.claude/commands/corpus-neighbors-classify.md · 29 lines

What it actually says

corpus-neighbors-classify — analysis method card

The axis walk (before you run)

  1. State the research question in one sentence.
  2. Match the output family this op serves: labels (method 14).
  3. Check the inputs it needs: embeddings, labels.
  4. Budget the calibration effort (low) and autonomy (automated_with_audit).
  5. Read the cautions. Run. Then do the validation step.

Run

corpus-kb neighbors-classify [--k N] [--chunk-id <id> ...]
  • Cautions: local label errors travel. Overrepresented examples can dominate nearby votes.
  • Validation: review example coverage. Tune the neighbor count and the rejection rules.
  • Claim only: category assignments backed by the listed neighbor examples.
  • A guard path (disabled, empty, unavailable) returns a reason and a remedy, never a guessed result. Exit codes: 0 answered, 1 failed, 3 unavailable.
  • All flags: corpus-kb neighbors-classify --help
  • Method rows: docs/ANALYSIS-METHODS.md (the register is the source).
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. 13d ago First seen · 29 lines · 9 tokens per session scan A 61313b22a6b2

Subscribe to this mod's changes

corpus-neighbors-classify is a command published in the GitHub repository moliver28/corpus-kb (1 stars, last pushed today), licensed MIT. It adds 9 tokens to every session and 275 once invoked, about $0.0000 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 2026-10-24.

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