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-screenplay-model-reviewgit 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-screenplay-model-review)<a href="https://agentmods.dev/skills/cratis/ai/cratis-screenplay-model-review"><img src="https://agentmods.dev/badge/skills/cratis/ai/cratis-screenplay-model-review/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-screenplay-model-review"><img src="https://agentmods.dev/badge/skills/cratis/ai/cratis-screenplay-model-review.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 | $0.00148 | $0.03744 |
| Opus 5.5 | $0.00059 | $0.01498 |
| Sonnet 5.5 | $0.00030 | $0.00749 |
| Haiku 4.5 | $0.00015 | $0.00374 |
Grade A, and why
cratis-screenplay-model-review 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 2d 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Screenplay model review
Purpose
Judge a model strictly and report; never fix it. Structure first (tools), then meaning (people
and reviewers). Every finding names where it is, which rule it breaks, what goes wrong for the
business if it stays, and a fix. Defects are kept apart from business questions. The same skill
gives the modeler a quick self-check (P4), a reviewer the full audit (P5) and an explainer the
business-question pass. The method follows the phased TrogonStack validation checklist,
adapted to .play declarations (references/provenance.md).
When / when not
- Use: P4 self-check; P5 independent review; auditing an existing or extracted model; reviewing a
proposal or edit request before it is applied; checking a model before rendering; checking a
code diff in a repository with a model for model-first drift (checklist R1;
conformis structural only). - Use: explaining a feature or a planned change slice by slice, read-only (
references/walkthrough.md). - Not for: changing the model (return findings; the modeler or the main session edits); writing
missing specs (
cratis-screenplay-scenario-coverage); designing slices (cratis-screenplay-slice-design); stream and invariant redesign (cratis-screenplay-streams-and-consistency); reviewing C# or rendered code (cratis-code-review,cratis-application-slice-conformance); diagnosing a running system (cratis-chronicle-cli-operations). - Code: none, except evidence files a legacy packet cites by file:line.
Interview phase
Skip if the brief names the scope, the mode and the review kind; otherwise ask about scope and mode, review kind and independence, delivery (decides whether V2 to V5 are required) and known intent. Read references/interview-batch.md for the four questions and follow-ups. Unattended: assume visibly, write each assumption in the report header, and lower confidence.
Procedure
Hold the stance: critic. Apply every check; do not soften a finding because the model "mostly works" or its fix is large. Flag, never repair: do not quietly add missing structure on the model's behalf.
What ships with it
19 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.
- LICENSE 2.4 KB
- references/anti-patterns.md 13 KB
- references/baseline-comparison.md 946 B
- references/business-questions.md 13 KB
- references/checklist.md 26 KB
- references/interview-batch.md 867 B
- references/mode-compliance.md 600 B
- references/model-inventory-report.md 6.8 KB
- references/neighbouring-skills.md 712 B
- references/provenance.md 7.3 KB
- references/public-keys-and-routes.md 2.3 KB
- references/quick-self-check.md 1.5 KB
- references/report-template.md 12 KB
- references/review-questions.md 4.7 KB
- references/stressor-analysis.md 4.5 KB
- references/verified-sources.md 1.7 KB
- references/walkthrough.md 6.9 KB
- references/worked-example.md 12 KB
- verification.json 1.8 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.
- 2d ago Changed · +3 lines cd16ca8ab859
- 5d ago Changed · -3 lines 22a15858a184
- 6d ago Changed b755c3532cb8
- 7d ago Changed · -54 lines · +14 tokens per session 4049232dac9a
- 9d ago Changed · -17 lines 78ac24a66615
- 10d ago Changed · +23 lines 9fce12c33388
- 11d ago Changed · +21 lines 63e23422f3d1
- 12d ago Changed 6ed5ce7a72f7
- 15d ago First seen · 222 lines · 134 tokens per session scan A abdbaba7cb08
cratis-screenplay-model-review is a skill published in the GitHub repository Cratis/AI (4 stars, last pushed yesterday), licensed MIT. It adds 148 tokens to every session and 3,744 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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