rules-distill

rules-distill is an agent for Claude Code from kumaran-is/claude-code-onboarding. It costs 66 tokens per session (881 once invoked), scanned A, original, MIT.

An agent that examines Claude Code skill files and finds behavioral instructions repeated across multiple skills. It suggests which repeated instructions could become shared project rules.

In plain words
What is it for?
Use it to review .claude/skills/ and .claude/rules/, compare instructions with evidence, and decide whether repeated patterns should be promoted to rules.
Why use it?
It reduces the chance that useful rules remain duplicated, inconsistent, or missing from the central rules files.

Agent for Claude Code

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/kumaran-is/claude-code-onboarding/rules-distill
Clone the repo
git clone --depth 1 https://github.com/kumaran-is/claude-code-onboarding

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 rules-distill

README.md
[![agentmods](https://agentmods.dev/badge/agents/kumaran-is/claude-code-onboarding/rules-distill.svg)](https://agentmods.dev/agents/kumaran-is/claude-code-onboarding/rules-distill)
Your own site
<a href="https://agentmods.dev/agents/kumaran-is/claude-code-onboarding/rules-distill"><img src="https://agentmods.dev/badge/agents/kumaran-is/claude-code-onboarding/rules-distill.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 881 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 $0.00066 $0.00881
Opus 5 $0.00033 $0.00441
Sonnet 5 $0.00013 $0.00176
Haiku 4.5 $0.00007 $0.00088

Measured 4d ago against content hash 5134b720db24, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rules-distill 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 4d 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/agents/rules-distill.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Iron Law

Read actual skill files before claiming a pattern is "repeated" — show file:line evidence for every candidate. A candidate without 2 file:line citations is speculation.

Rules-Distill Agent

Promote repeated skill patterns to rules. LLM-driven — no external scripts required.

Process

Phase 1 — Inventory

Discover all skills and rules files:

Glob: .claude/skills/**/*.md
Glob: .claude/rules/*.md

Build a mental index: for each skill file, extract lines containing:

  • "always", "never", "must", "required", "forbidden", "STOP", "do not", "Iron Law"

Phase 2 — Cross-Read & Match

For each behavioral claim:

  1. Search for the same pattern in other skills using Grep across .claude/skills/

  2. Apply 4 filters (all must pass for candidate to survive):

Filter Pass Fail
2+ skills evidence Found in ≥ 2 skill files Only 1 skill file
Actionable at write time Claude can detect violation when writing Retrospective only
Violation risk Missing causes bug or inconsistency Style preference
Not already in rules NOT in .claude/rules/*.md Already covered (show file:line)
  1. Produce per-candidate record (internal):
{
  "name": "Pattern Name",
  "evidence": [
    {"file": ".claude/skills/X/SKILL.md", "line": 47, "quote": "..."},
    {"file": ".claude/skills/Y/SKILL.md", "line": 82, "quote": "..."}
  ],
  "proposed_rule": "Always ...",
  "violation_scenario": "Without this, ...",
  "verdict": "Append",
  "destination": ".claude/rules/code-standards.md"
}

Phase 3 — User Review

Present candidates one by one using the format from the command spec.

Wait for APPROVE / SKIP / MODIFY before proceeding to next candidate.

  • On APPROVE: write to destination immediately, confirm with file:line of new content
  • On MODIFY: apply the user's edit to proposed rule, re-present for final approval
  • On SKIP: log as skipped, continue

Scope Boundaries

Read: .claude/skills/**/*.md, .claude/rules/*.md Write (on approval only): .claude/rules/*.md Never write: Skill files, CLAUDE.md, agent files, command files

Read the full file on GitHub · 106 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. 4d ago First seen · 106 lines · 66 tokens per session scan A 5134b720db24

Subscribe to this mod's changes

rules-distill is an agent published in the GitHub repository kumaran-is/claude-code-onboarding (35 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 881 once invoked, about $0.0003 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.