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 RamonBedin/mcp-game-deck --skill playtest-reportgit clone --depth 1 https://github.com/RamonBedin/mcp-game-deckWrote 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/ramonbedin/mcp-game-deck/playtest-report)<a href="https://agentmods.dev/skills/ramonbedin/mcp-game-deck/playtest-report"><img src="https://agentmods.dev/badge/skills/ramonbedin/mcp-game-deck/playtest-report/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/ramonbedin/mcp-game-deck/playtest-report"><img src="https://agentmods.dev/badge/skills/ramonbedin/mcp-game-deck/playtest-report.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 | $0.00020 | $0.00329 |
| Opus 5 | $0.00010 | $0.00164 |
| Sonnet 5 | $0.00004 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
playtest-report 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 9d 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.
What it actually says
When this skill is invoked:
-
Determine mode:
new: Generate blank templateanalyze [path]: Parse raw notes into structured format
-
Template structure:
## Playtest Report — [Date]
### Session Info
- Build: [version]
- Duration: [minutes]
- Platform: [target]
- Tester: [name/anonymous]
### First Impressions (0-5 min)
[Initial reactions, onboarding clarity, first confusion points]
### Gameplay Flow
**What Worked:**
- ...
**Pain Points:**
- ...
**Confusion Points:**
- ...
**Delight Moments:**
- ...
### Bugs Encountered
| Bug | Severity | Reproducible? |
|-----|----------|---------------|
### Feature-Specific Feedback
[Per-feature observations]
### Performance Notes
[Frame drops, loading times, visual glitches]
### Overall Assessment
- Fun Factor: [1-5]
- Polish Level: [1-5]
- Would Play Again: [Yes/No/Maybe]
### Priority Actions
1. [Most impactful change to make]
- For
analyzemode: Parse raw notes and categorize into the structured format above, extracting bugs, pain points, and priority actions.
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.
- 9d ago First seen · 61 lines · 20 tokens per session scan A 2baa6827c996
playtest-report is a skill published in the GitHub repository RamonBedin/mcp-game-deck (6 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 329 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 2026-08-31.
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