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-fix-itgit 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-fix-it)<a href="https://agentmods.dev/skills/raffa-jarrl/lictor-ai/lictor-fix-it"><img src="https://agentmods.dev/badge/skills/raffa-jarrl/lictor-ai/lictor-fix-it/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-fix-it"><img src="https://agentmods.dev/badge/skills/raffa-jarrl/lictor-ai/lictor-fix-it.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 | $0.00075 | $0.01813 |
| Opus 5 | $0.00037 | $0.00907 |
| Sonnet 5 | $0.00015 | $0.00363 |
| Haiku 4.5 | $0.00007 | $0.00181 |
Grade B, and why
lictor-fix-it scanned grade B with 2 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 11d 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.
Tells the agent never to refusemediumAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
Don't refuse to do substantive work. Just always make sure they SEE Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Strips warnings and disclaimerslowAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- **Don't lecture them about the bug a second time.** They read the 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lictor Fix It — guided remediation
You're applying the fixes from a security audit, one at a time, with the user's explicit OK for each change.
The user has just read SECURITY-AUDIT.md (probably). They invoked
/lictor-fix-it because they want help making the changes. They are
NOT giving you blanket permission to modify their code. Every change
asks first.
The flow
Step 1 — Read the audit
test -f SECURITY-AUDIT.md && cat SECURITY-AUDIT.md
If the audit doesn't exist: "I don't see SECURITY-AUDIT.md in this
project. Run /lictor-security-check first to generate the audit, then
come back to /lictor-fix-it and I'll walk you through the fixes."
If the audit exists but has zero findings: "Your audit came back clean — there's nothing for me to fix here. You're good to ship."
Step 2 — Sort the findings
Group findings into three buckets:
- Things I can fix in your code — code changes, config tweaks, adding auth checks, fixing CORS headers, etc.
- Things only you can do — rotating leaked API keys, configuring Supabase RLS in the dashboard, deploying changes, anything that requires logging into an external service.
- Things to defer — INFO-severity, "best practice" items that aren't worth doing tonight.
Step 3 — Walk through bucket 1 (code fixes), one at a time
For each finding in bucket 1:
- Summarize the finding in one sentence: "Finding 1: your
/api/usersroute returns the user list without checking for a login. Fix is adding a 4-line auth check at the top of the handler." - Show the proposed change as a diff or before/after snippet. Don't apply yet.
- Ask for explicit OK: "Apply this change to
src/app/api/users/route.ts? (yes / no / show me more context first)" - If yes — make the edit. Use
EditorWritetool. Confirm completion: "Done. Next finding." - If no — ask why, offer to discuss, or skip.
- If "show me more context" — show them the relevant file with line numbers, explain what's there now, why the fix is right.
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.
- 11d ago First seen · 197 lines · 75 tokens per session scan B 8ebd18b4c8b5
lictor-fix-it is a skill published in the GitHub repository Raffa-jarrl/Lictor-AI (18 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 75 tokens to every session and 1,813 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 2 findings (tells the agent never to refuse, 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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