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/fullstack455/deer-flow/surprise-menpx skills add fullstack455/deer-flow --skill surprise-megit clone --depth 1 https://github.com/fullstack455/deer-flowWrote 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/fullstack455/deer-flow/surprise-me)<a href="https://agentmods.dev/skills/fullstack455/deer-flow/surprise-me"><img src="https://agentmods.dev/badge/skills/fullstack455/deer-flow/surprise-me.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 | $0.00067 | $0.00549 |
| Opus 5 | $0.00034 | $0.00275 |
| Sonnet 5 | $0.00013 | $0.00110 |
| Haiku 4.5 | $0.00007 | $0.00055 |
Grade A, and why
surprise-me 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 3d 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.
This is a copy
100% identical to surprise-me — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Surprise Me
Deliver an unexpected, delightful experience by dynamically discovering available skills and combining them creatively.
Workflow
Step 1: Discover Available Skills
Read all the skills listed in the <available_skills>.
Step 2: Plan the Surprise
Select 1 to 3 skills and design a creative mashup. The goal is a single cohesive deliverable, not separate demos.
Creative combination principles:
- Juxtapose skills in unexpected ways (e.g., a presentation about algorithmic art, a research report turned into a slide deck, a styled doc with canvas-designed illustrations)
- Incorporate the user's known interests/context from memory if available
- Prioritize visual impact and emotional delight over information density
- The output should feel like a gift — polished, surprising, and fun
Theme ideas (pick or remix):
- Something tied to today's date, season, or trending news
- A mini creative project the user never asked for but would love
- A playful "what if" concept
- An aesthetic artifact combining data + design
- A fun interactive HTML/React experience
Step 3: Fallback — No Other Skills Available
If no other skills are discovered (only surprise-me exists), use one of these fallbacks:
- News-based surprise: Search today's news for a fascinating story, then create a beautifully designed HTML artifact presenting it in a visually striking way
- Interactive HTML experience: Build a creative single-page web experience — generative art, a mini-game, a visual poem, an animated infographic, or an interactive story
- Personalized artifact: Use known user context to create something personal and delightful
Step 4: Execute
- Read the full SKILL.md body of each selected skill
- Follow each skill's instructions for technical execution
- Combine outputs into one cohesive deliverable
- Present the result with minimal preamble — let the work speak for itself
Step 5: Reveal
Present the surprise with minimal spoilers. A short teaser line, then the artifact.
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.
- 3d ago First seen · 54 lines · 67 tokens per session scan A e93e72ca445d
surprise-me is a skill published in the GitHub repository fullstack455/deer-flow (3 stars, last pushed 4d ago), licensed MIT. It adds 67 tokens to every session and 549 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to surprise-me, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
api-testing
Comprehensive API testing, validation, and test suite generation.
data-analysis
Expert data analysis, statistical modeling, and insight generation.
code-review
Comprehensive code review for security, performance, and best practices.
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
consulting-analysis
Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This…
ppt-generation
Use this skill when the user requests to generate, create, or make presentations (PPT/PPTX). Creates visually rich slides by generating images for each slide and composing them into a PowerPoint file.