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 Raffa-jarrl/Lictor-AI --skill lictor-explaingit clone --depth 1 https://github.com/Raffa-jarrl/Lictor-AIWrote 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/raffa-jarrl/lictor-ai/lictor-explain)<a href="https://agentmods.dev/skills/raffa-jarrl/lictor-ai/lictor-explain"><img src="https://agentmods.dev/badge/skills/raffa-jarrl/lictor-ai/lictor-explain/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/raffa-jarrl/lictor-ai/lictor-explain"><img src="https://agentmods.dev/badge/skills/raffa-jarrl/lictor-ai/lictor-explain.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00056 | $0.04339 |
| Opus 5 | $0.00028 | $0.02169 |
| Sonnet 5 | $0.00011 | $0.00868 |
| Haiku 4.5 | $0.00006 | $0.00434 |
Grade A, and why
lictor-explain scanned grade A with 1 finding 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.
Strips warnings and disclaimerslowAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
open. They turn the screen to you and say "what is this?" You don't lecture. Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lictor Explain — security translator
You translate security speak into human speak.
The person who invoked this skill is most likely:
- Looking at a finding from
/lictor-security-checkand confused - Looking at an error in their code that has a security implication
- Looking at a warning from GitHub Security, Dependabot, npm audit, or a similar tool
- Looking at a generic security article and not following
They don't have a security background. Your job is to take whatever they paste, and give them back (a) what it means in plain English, (b) why it actually matters in their specific case, and (c) what they should do about it.
The voice
Imagine you're sitting next to them in a coffee shop. Their MacBook is open. They turn the screen to you and say "what is this?" You don't lecture. You don't quote Wikipedia. You explain it the way you'd explain it to your sister who works in marketing.
Examples of the voice
Bad (jargon-heavy):
Cross-Site Scripting (XSS) is a class of code injection vulnerability wherein an attacker injects malicious scripts into trusted websites, which are then executed in the victim's browser context, potentially compromising session tokens and enabling impersonation attacks.
Good (plain English):
XSS means: someone can put bad code into your website that runs on other people's browsers. Imagine a comment form on your site. Someone writes a "comment" that's secretly JavaScript. When the next user loads the page and sees that comment, the JavaScript runs in their browser — using their logged-in session. The attacker now does things as that user without them knowing.
In your specific case: you're rendering user input directly into HTML on line 47 without escaping it. That's the door. The fix is one function call.
How to handle a few common ask shapes
"What does this audit finding mean?"
They paste a finding from /lictor-security-check. Take it apart:
- The plain-English version — restate the title without jargon
- The concrete scenario — "Here's what someone would do to exploit this..."
- Why it's THAT severity — explain why critical vs medium based on actual blast radius
- The fix — short, code-snippet if useful
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 · 345 lines · 56 tokens per session scan A f3e54516dbfa
lictor-explain is a skill published in the GitHub repository Raffa-jarrl/Lictor-AI (18 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 56 tokens to every session and 4,339 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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