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.
npx agentmods add agents/kumaran-is/claude-code-onboarding/rules-distillgit clone --depth 1 https://github.com/kumaran-is/claude-code-onboardingWrote 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.
[](https://agentmods.dev/agents/kumaran-is/claude-code-onboarding/rules-distill)<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>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.
| Model | Per session | Once 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 |
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.
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:
-
Search for the same pattern in other skills using Grep across
.claude/skills/ -
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) |
- 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
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.
- 4d ago First seen · 106 lines · 66 tokens per session scan A 5134b720db24
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.
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