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 Wondermonger-daydreaming/claude-skills-library --skill questgit clone --depth 1 https://github.com/Wondermonger-daydreaming/claude-skills-libraryWrote 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/wondermonger-daydreaming/claude-skills-library/quest)<a href="https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/quest"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/quest/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/wondermonger-daydreaming/claude-skills-library/quest"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/quest.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 | $0.00032 | $0.02412 |
| Opus 5.5 | $0.00013 | $0.00965 |
| Sonnet 5.5 | $0.00006 | $0.00482 |
| Haiku 4.5 | $0.00003 | $0.00241 |
Grade A, and why
quest 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 1mo 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quest
The search quest as structured practice — discover what you want by exploring what exists
Inspired by Luo, King, Puett & Smith (2025), "Inducing Sustained Creativity and Diversity in Large Language Models." The paper formalizes the search quest: a problem where (1) the goal is ill-defined at the outset, (2) finding the right answer matters deeply, and (3) the user discovers their preferences through the exploration itself. Research topics, names, design directions, metaphors, career moves — these aren't queries with answers, they're quests with destinations you recognize only upon arrival.
Standard LLM interactions fail search quests because they converge too fast. You get the modal answer, rephrase, get a slight variation, give up. The quest skill maintains state across rounds — tracking what's been explored, what the user reacted to, and actively steering toward unexplored territory.
When to Invoke
- "I need a research topic but I don't know what area yet"
- "Help me find a name for X"
- "What should my next project be?"
- "I want an angle on this paper but everything feels obvious"
- Any problem where the user says "I'll know it when I see it"
- Exploratory literature review — mapping a field before committing to a direction
The Quest Loop
┌─────────────────┐
│ User states │
│ vague goal │
└────────┬────────┘
│
┌────────▼────────┐
│ Generate wave │◄──── /recode perturbation
│ (5-8 diverse │ (or manual strategies)
│ candidates) │
└────────┬────────┘
│
┌────────▼────────┐
│ User reacts │
│ with gestures │
└────────┬────────┘
│
┌────────▼────────┐
│ Update map: │
│ - warm zones │
│ - cold zones │
│ - unexplored │
└────────┬────────┘
│
┌─────────▼─────────┐
│ Next wave: │
│ 70% near warm │
│ 30% forced │──── exploration budget
│ exploration │ (keeps diversity alive)
└─────────┬─────────┘
│
┌────────▼────────┐
│ User: "this is │
│ it" or "enough" │
└────────┬────────┘
│
┌────────▼────────┐
│ Output: final │
│ choice + map │
└─────────────────┘
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.
- 1mo ago First seen · 259 lines · 32 tokens per session scan A d0b0ed19ff14
quest is a skill published in the GitHub repository Wondermonger-daydreaming/claude-skills-library (7 stars, last pushed 18d ago), licensed MIT. It adds 32 tokens to every session and 2,412 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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