Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/wanshuiyin/ARIS-Movie-Directornpx agentmods add skills/wanshuiyin/aris-movie-director/movie-pipelineWrote 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/wanshuiyin/aris-movie-director/movie-pipeline)<a href="https://agentmods.dev/skills/wanshuiyin/aris-movie-director/movie-pipeline"><img src="https://agentmods.dev/badge/skills/wanshuiyin/aris-movie-director/movie-pipeline/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/wanshuiyin/aris-movie-director/movie-pipeline"><img src="https://agentmods.dev/badge/skills/wanshuiyin/aris-movie-director/movie-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00210 | $0.03593 |
| Opus 5 | $0.00105 | $0.01796 |
| Sonnet 5 | $0.00042 | $0.00719 |
| Haiku 4.5 | $0.00021 | $0.00359 |
Grade A, and why
movie-pipeline 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 12d 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
movie-pipeline — Pipeline A, end-to-end (one slash-command)
1 · Scope
The whole of Figure 1 as ONE agent workflow: a fuzzy idea → a cross-model-audited, image-based movie + a
clickable viewer. /movie-pipeline "«your fuzzy idea»" — and your coding agent (Claude, Codex, …) drives the
chain below, pausing only at the two human story gates. "One command" = one slash-command an agent RUNS —
not a deterministic shell binary (the /research-pipeline paradigm): it needs a coding-agent runtime, it is
non-deterministic, and a skipped step is safe because each layer consumes the prior locked artifact — a
missed step leaves the next gate's input unresolved and it fails closed, never ships something wrong.
2 · Who does what (roles / boundary)
| Actor | Does | Never does |
|---|---|---|
| Human | approves intent + outline; adjudicates needs_human/flagged panels |
per-panel retries (the spiral's job) |
| Agent (Claude runtime) | authors Phase 1; runs the P0 fan-out reviews; services the bake sidecar; iterates pages | acquits its own layer (author family can't self-acquit) |
mcp__codex__codex sidecar |
the ONLY real bake primitive (Codex native image tool) | judge its own output |
| Deterministic CLIs | run_p0_proof.py (mints the P0 cert), run_comic.py (orchestrates; verdict math is deterministic; gates shell the codex/gemini CLIs), validate_wiki.py, build_comic.py |
bake (that's delegated to the agent sidecar) |
| CI | --dry-run + validate_wiki + build_comic re-render + tests/ (see §11) |
bake, or acquit quality |
3 · Phase contract
| Phase | Entry artifact | Exit artifact | Consumer | Gate |
|---|---|---|---|---|
| 1 author | fuzzy idea | schema-valid comic.json + locked wiki nodes |
P0 gate | per-layer cross-model --gate + 2 human gates |
| P0 proof | compiled comic.json |
digest-bound decision:p0_proof_* node |
run_comic.py preflight |
run_p0_proof.py quorum (§6) |
| 2 bake | comic.json + current P0 cert |
KEEP'd panels, wiki trace, updated comic.json |
assembly / viewer | panel_gate + assembly_gate |
| 3 ship | shippable run report | outputs/index.html |
human | --finalize viewer build rc=0 (exit 4 on fail) |
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.
- 12d ago First seen · 161 lines · 210 tokens per session scan A 0f9ee55f83c5
movie-pipeline is a skill published in the GitHub repository wanshuiyin/ARIS-Movie-Director (61 stars, last pushed 3d ago), licensed MIT. It adds 210 tokens to every session and 3,593 once invoked, about $0.0011 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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Design characters as integrated wholes — dramatic function, psychology, biography, visual identity, costume, props, casting profile, and FACS-coded expressions. Use when the user needs character development, character sheets, costume design, casting briefs, or AI-ready character references for an AI film project.
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creator-prompt-engineer
Convert creative-department outputs (script, vision, cinematography, characters, sets, storyboards, shots) into producible, consistent AI image/video prompts — with tool-specific optimization, locked anchors, negative prompts, and safe alternatives. Default image tool priority for storyboard/character sheets is GPT…
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creator-storyboard-artist
Translate scenes into storyboard panels — shot scales, angles, character blocking, movement direction, composition, and AI image/video prompts. Use when the user needs to visualize a scene panel by panel before production.