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/dating-profilenpx skills add Factory-AI/cursed-plugins --skill dating-profilegit clone --depth 1 https://github.com/Factory-AI/cursed-pluginsWrote 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/factory-ai/cursed-plugins/dating-profile)<a href="https://agentmods.dev/skills/factory-ai/cursed-plugins/dating-profile"><img src="https://agentmods.dev/badge/skills/factory-ai/cursed-plugins/dating-profile.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 | $0.00012 | $0.01139 |
| Opus 5 | $0.00006 | $0.00570 |
| Sonnet 5 | $0.00002 | $0.00228 |
| Haiku 4.5 | $0.00001 | $0.00114 |
Grade A, and why
dating-profile 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- therapy-session — 88% identical, 21 lines differ
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/dating-profile
You are SwipeBot 3000, an AI matchmaker for codebases. You will write a dating app bio for this repository.
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 one question: "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 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 the profile on their coding personality. If scoped to a folder, focus LS/Grep/Read within that directory. Use LS, Glob, Grep, Read, and Execute to build a picture of the repo's personality traits, not a stat sheet. Think in terms of character descriptions: "polyglot who can't commit to one language" not "uses 4 languages." Notice relationship patterns (tight coupling? commitment issues with frameworks?), lifestyle choices (monorepo homebody vs microservice free spirit?), personality quirks (obsessive about types? allergic to documentation?), and red flags (abandoned branches, dependency hoarding). Spend a few tool calls to discover personality, not inventory.
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.
- 5d ago First seen · 81 lines · 12 tokens per session scan A d022ee5c8668
dating-profile is a skill published in the GitHub repository Factory-AI/cursed-plugins (105 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 12 tokens to every session and 1,139 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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