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 Cratis/AI --skill cratis-application-slice-conformancegit clone --depth 1 https://github.com/Cratis/AIWrote 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/cratis/ai/cratis-application-slice-conformance)<a href="https://agentmods.dev/skills/cratis/ai/cratis-application-slice-conformance"><img src="https://agentmods.dev/badge/skills/cratis/ai/cratis-application-slice-conformance/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/cratis/ai/cratis-application-slice-conformance"><img src="https://agentmods.dev/badge/skills/cratis/ai/cratis-application-slice-conformance.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 | $0.00160 | $0.02742 |
| Opus 5.5 | $0.00064 | $0.01097 |
| Sonnet 5.5 | $0.00032 | $0.00548 |
| Haiku 4.5 | $0.00016 | $0.00274 |
Grade A, and why
cratis-application-slice-conformance 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.
How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slice conformance: the code matches its contract, element by element
Purpose
Hand-written code drifts from what was agreed in two directions: something agreed is missing, or something nobody agreed is there. This skill is the check that closes both, plus the rules for specifications, re-delivery and the final status. It does not decide what a slice should do; the contract does.
Model-first rule: when a .play model covers the slice, the model is the contract and
the code is derived. Code is written only for scope the renderer rejects, adapters and
other infrastructure. Change behaviour in the model first, never in managed output.
When to use / when not
- Use: implementing or finishing a slice by hand; gap-fill after a render; re-delivery after a model or outline change; reviewing slice code; a hand-over where "done" must mean something.
- Not for: the choice of behaviour (
cratis-screenplay-slice-design,cratis-chronicle-event-modeling); how to write specifications (cratis-application-slice-specifications); the render workflow itself (cratis-screenplay-render-and-gap-fill).
Startup verification for Automation and Translation
- Real startup participation. A
ReactorScenariobypasses observer registration, so it cannot show that the application subscribes the reactor. Verify, through the repository's integration route or a startup check, that the real application discovers the intended reactor (its assembly is scanned, per the repository's discovery convention), that it observes the intended event store and event sequence, and that a trigger event delivered there reaches it. Report this apart from the in-process specifications.
Product facts
This skill is a method: it names no API of its own. When the Screenplay skills are installed their SKILL.md
(in cratis-screenplay-toolchain) explains how to read the installed tool versions.
| Fact used here | Source |
|---|---|
Where each rule lives (validator, Provide(), handler result, constraint, exception) |
rules/vertical-slices.md "The decision matrix" |
| A customization never makes a rejected model renderable; managed output is never hand-edited | Stage (Customizations/ is the unmanaged seam; managed output is regenerated) |
| Attached file or inline command handlers are refused with PLAY0800, a permanent requirement for a code implementation attachment (Requires Screenplay 4.210.0; older binders report PLAY0268); pending handlers with unconditional productions bind v23 as described commands, but reached bodies are Unsupported ImplementationBody and Stage refuses STAGE-IMPL-002 even in Stub mode | Screenplay and Stage; use the model as the gap-fill contract |
What ships with it
7 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.
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 Changed 07db93ecae21
- 5d ago Changed 4f4a3d76a957
- 6d ago Changed · -4 lines 2b29b00aa108
- 7d ago Changed · +1 lines 5e61ae87eb46
- 10d ago Changed · +5 lines e52d74b0091f
- 11d ago Changed ee5481719b99
- 12d ago Changed · +9 lines eb768156db05
- 15d ago First seen · 180 lines · 160 tokens per session scan A f2bc2fd6e6e9
cratis-application-slice-conformance is a skill published in the GitHub repository Cratis/AI (4 stars, last pushed yesterday), licensed MIT. It adds 160 tokens to every session and 2,742 once invoked, about $0.0006 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 2026-10-07.
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