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 j4flmao/agent-skills --skill playgit clone --depth 1 https://github.com/j4flmao/agent-skillsWrote 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/j4flmao/agent-skills/play)<a href="https://agentmods.dev/skills/j4flmao/agent-skills/play"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/play.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 464 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00103 | $0.04195 |
| Opus 5 | $0.00051 | $0.02098 |
| Sonnet 5 | $0.00021 | $0.00839 |
| Haiku 4.5 | $0.00010 | $0.00419 |
Grade A, and why
scala-play 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 8d 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 — 567 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scala Play Framework
Purpose
Build Play Framework applications with clean MVC architecture, Slick database access, Play JSON serialization, async actions, and comprehensive testing.
Agent Protocol
Trigger
User request includes: Play Framework, Play Scala, Play controller, Play Slick, Play JSON, Play action, Play test, Play routes.
Input Context
- Scala version (2.13, 3)
- Play version (3.x)
- Database (PostgreSQL via Slick)
- JSON library (Play JSON, Circe)
- Testing (ScalaTest, Specs2)
Output Artifact
Controller, model, Slick table definition, JSON reads/writes, routes, test.
Response Format
Produce artifact directly. No preamble, no postamble, no explanations.
Completion Criteria
- Controller action returns Future[Result]
- Slick table mapped to case class
- JSON Format (Reads/Writes/OFormat) defined
- Routes file with HTTP method binding
- Service layer for business logic
Max Response Length
4096 tokens
Architecture Decision Trees
Play vs Akka HTTP vs http4s vs ZIO HTTP
| Criterion | Play | Akka HTTP | http4s | ZIO HTTP |
|---|---|---|---|---|
| Ecosystem | Full (MVC, Slick, JSON) | HTTP + Akka ecosystem | Functional + Cats | ZIO ecosystem |
| Async | Future-based | Akka Streams | IO/Cats Effect | ZIO |
| Type level | Moderate | Moderate | High (functional) | High |
| Learning curve | Low-Moderate | Moderate | High (FP concepts) | High (ZIO) |
| Community | Large (Scala standard) | Medium | Medium | Growing |
Decision: Full framework (MVC, DB, JSON) → Play. Lightweight HTTP → http4s. Streaming/Akka → Akka HTTP. ZIO stack → ZIO HTTP.
Slick vs Doobie vs Quill
| Criterion | Slick | Doobie | Quill |
|---|---|---|---|
| Approach | Scala query DSL | Free monad (SQL strings) | Macro-based Quill DSL |
| Type safety | High | High | High |
| SQL control | Medium (DSL maps to SQL) | Full (raw SQL) | Medium (Quill DSL) |
| Migration | Play Evolutions + Flyway | Flyway/Liquibase | Manual |
| Learning curve | Moderate | High (Free monad) | Moderate |
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/play-architecture.md 3.8 KB
- references/play-framework-rest-api.md 76 KB
- references/play-performance.md 1.6 KB
- references/play-rest-api.md 5.0 KB
- references/play-security.md 4.9 KB
- references/play-setup.md 2.6 KB
- references/play-testing.md 1.8 KB
- references/scala-concurrent-streaming.md 55 KB
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.
- 8d ago First seen · 567 lines · 103 tokens per session scan A dac15baecc20
scala-play is a skill published in the GitHub repository j4flmao/agent-skills (22 stars, last pushed 2d ago), licensed MIT. It adds 103 tokens to every session and 4,195 once invoked, about $0.0005 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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