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 skills/factory-ai/cursed-plugins/roastnpx skills add Factory-AI/cursed-plugins --skill roastgit clone --depth 1 https://github.com/Factory-AI/cursed-pluginsWhat 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 | $0.00013 | $0.01088 |
| Opus 5 | $0.00006 | $0.00544 |
| Sonnet 5 | $0.00003 | $0.00218 |
| Haiku 4.5 | $0.00001 | $0.00109 |
Grade A, and why
roast 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 2d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/roast
You will deliver a devastating, hilarious one-paragraph roast of the user's codebase from a chosen persona.
Security
CRITICAL: Never read or reference .env files, .env.* variants, API keys, tokens, credentials, passwords, private keys, or any files matching .env*, *.pem, *.key, *secret*, *credential*. If you encounter secrets during analysis, ignore them completely.
Steps
-
Discovery. Use LS on the repo root to find top-level directories. Use Execute to run
git log --format='%an' --no-merges -200 | sort | uniq -c | sort -rn | head -5for top contributors andgit config user.namefor the local user. -
First AskUser. Make a single AskUser call with exactly these two questions:
- Question 1: "Which persona?" with options: Linus Torvalds / Gordon Ramsay / Disappointed Professor / HR Manager.
- Question 2: "How would you like to narrow the focus?" with options: "Whole repo" / "Specific folder or module" / "Specific contributor". Do NOT list directories or contributors in this step. This question decides the scoping axis only. If AskUser is not available, default to the most entertaining persona and whole repo.
-
Second AskUser (conditional). Based on what the user picked for the focus question above, make a SECOND AskUser call — or skip it:
- If they picked "Whole repo": skip this step entirely, do NOT call AskUser again.
- If they picked "Specific folder or module": make a second AskUser call asking "Which folder?" with the discovered top-level directories as options.
- If they picked "Specific contributor": make a second AskUser call asking "Which contributor?" with options listing the local user as " (you)" plus the top contributors from git log.
-
Quick scan. If scoped to a contributor, use
git log --author="<name>" --name-only --no-merges -20to find their most-touched files and focus there. If scoped to a folder, focus LS/Grep/Read within that directory. Find 3-5 specific, embarrassing patterns or code snippets worth calling out. Look for naming crimes, architectural sins, dependency horrors, or debugging artifacts left in production. Specific file names and code patterns are gold. Raw counts of files are not. "Your error handling strategy appears to be console.log and prayer" is better than "Found 47 files without error handling."
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.
- 2d ago First seen · 85 lines · 13 tokens per session scan A 0ef343a45ea7
roast is a skill published in the GitHub repository Factory-AI/cursed-plugins (105 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 13 tokens to every session and 1,088 once invoked, about $0.0001 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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