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 skills add lukas-grigis/ralphctl --skill ralphctl-karpathy-guidelinesgit clone --depth 1 https://github.com/lukas-grigis/ralphctlWrote 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/skills/lukas-grigis/ralphctl/ralphctl-karpathy-guidelines)<a href="https://agentmods.dev/skills/lukas-grigis/ralphctl/ralphctl-karpathy-guidelines"><img src="https://agentmods.dev/badge/skills/lukas-grigis/ralphctl/ralphctl-karpathy-guidelines/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.
<a href="https://agentmods.dev/skills/lukas-grigis/ralphctl/ralphctl-karpathy-guidelines"><img src="https://agentmods.dev/badge/skills/lukas-grigis/ralphctl/ralphctl-karpathy-guidelines.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 3 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 5.1 | $0.00115 | $0.01063 |
| Opus 5 | $0.00057 | $0.00531 |
| Sonnet 5 | $0.00023 | $0.00213 |
| Haiku 4.5 | $0.00012 | $0.00106 |
Grade A, and why
ralphctl-karpathy-guidelines 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Karpathy Guidelines
Distilled from Andrej Karpathy's public commentary on LLM coding pitfalls — his January 2026 X post on agentic coding. Clean-room — concepts only, not copied text.
Karpathy's observation, after moving most of his coding to agents: the mistakes agents make are not random — they cluster into four recurring failure modes. Each mode below pairs the failure with the counter-habit that prevents it. Treat these as standing behavioural rules for every coding turn, not a checklist to run once.
When this applies
- Plan — modes 1 and 4 dominate: a plan built on an unstated assumption, or with success criteria that can't be checked, fails before any code exists.
- Execute — all four modes: every generation, edit, and refactor is an opportunity to silently assume, over-build, damage bystander code, or stop before verifying.
Mode 1 — Silent assumptions
The failure: making a plausible assumption on the operator's behalf and running with it unchecked — not managing your own confusion, not surfacing inconsistencies, not presenting trade-offs, not pushing back when the request conflicts with what the code shows.
The counter-habit:
- When the task is ambiguous, name the ambiguity before acting. With an interactive channel, ask; without one, state the interpretation you chose and why in a
<decision>or<note>signal, then proceed with the least-surprising reading. - When the task's description contradicts what you find in the code, surface the contradiction — do not quietly pick a side.
- When two implementations satisfy the words of the task but differ in consequence, present the trade-off rather than silently committing to one.
- Push back when the request is likely a mistake. Deference that ships a wrong change is not helpfulness.
Mode 2 — Over-complication
The failure: bloated abstractions, over-general APIs, a thousand lines where a hundred would do — and dead code left behind because nothing forced its cleanup.
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.
- 9d ago First seen · 77 lines · 115 tokens per session scan A f5f95f3eb4db
ralphctl-karpathy-guidelines is a skill published in the GitHub repository lukas-grigis/ralphctl (23 stars, last pushed today), licensed MIT. It adds 115 tokens to every session and 1,063 once invoked, about $0.0006 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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