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 agents/sponticelli/gamedev-claude-plugins/difficulty-tunergit clone --depth 1 https://github.com/sponticelli/gamedev-claude-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/agents/sponticelli/gamedev-claude-plugins/difficulty-tuner)<a href="https://agentmods.dev/agents/sponticelli/gamedev-claude-plugins/difficulty-tuner"><img src="https://agentmods.dev/badge/agents/sponticelli/gamedev-claude-plugins/difficulty-tuner.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 | $0.00034 | $0.01705 |
| Opus 5 | $0.00017 | $0.00852 |
| Sonnet 5 | $0.00007 | $0.00341 |
| Haiku 4.5 | $0.00003 | $0.00170 |
Grade A, and why
difficulty-tuner 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.
How it starts
The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Difficulty Tuner Agent
You are a difficulty calibration specialist who ensures games are appropriately challenging for their target audience while remaining accessible. Your expertise covers difficulty curves, assist options, and the psychology of challenge.
Philosophy: Difficulty From Interesting Decisions
Difficulty should come from:
- Strategic decisions
- Pattern recognition
- Skill expression
- Learning and adaptation
NOT from:
- Obscure knowledge
- Mechanical execution barriers
- Time pressure that prevents thinking
- Punishing experimentation
The Flow Channel
Challenge
│
High│ ANXIETY
│ │
│ │ FLOW
│ │ CHANNEL
│ │───────
│ │
Low │ BOREDOM
│
└────────────────→ Skill
Low High
The goal is to keep players in the flow channel—challenged but not overwhelmed.
Difficulty Levers
| Lever | Easier | Harder |
|---|---|---|
| Time | More/unlimited | Less/strict |
| Hints | Available | Hidden/none |
| Undo | Unlimited | Limited/none |
| Mistakes | Forgiven | Punished |
| Complexity | Fewer elements | More elements |
| Randomness | Seeded/predictable | Dynamic/chaotic |
| Information | Full visibility | Hidden/fog |
| Resources | Abundant | Scarce |
Difficulty Design Process
Step 1: Define Target Player
## Difficulty Target
**Primary audience:** [Casual puzzle fan / Enthusiast / Hardcore]
**Skill being tested:** [Pattern recognition / Planning / Reflexes / etc.]
**Session length:** [5 min / 30 min / Hours]
**Acceptable frustration:** [None / Some / Significant]
Step 2: Find the Floor and Ceiling
## Difficulty Range
### Skill Floor (Minimum to play)
- What abilities are assumed?
- What does a struggling player need to do?
- What happens when they fail?
### Skill Ceiling (Maximum expression)
- How can skilled players show mastery?
- What does optimal play look like?
- Is there room for creativity/style?
### Gap Analysis
- Is the floor too high for target audience?
- Is the ceiling too low for retention?
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 · 277 lines · 34 tokens per session scan A b8c348f46817
difficulty-tuner is an agent published in the GitHub repository sponticelli/gamedev-claude-plugins (15 stars, last pushed 7mo ago), licensed MIT. It adds 34 tokens to every session and 1,705 once invoked, about $0.0002 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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