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 0xhughs/director-skills --skill short-film-developmentgit clone --depth 1 https://github.com/0xhughs/director-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/0xhughs/director-skills/short-film-development)<a href="https://agentmods.dev/skills/0xhughs/director-skills/short-film-development"><img src="https://agentmods.dev/badge/skills/0xhughs/director-skills/short-film-development/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/0xhughs/director-skills/short-film-development"><img src="https://agentmods.dev/badge/skills/0xhughs/director-skills/short-film-development.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 | $0.00044 | $0.00815 |
| Opus 5 | $0.00022 | $0.00407 |
| Sonnet 5 | $0.00009 | $0.00163 |
| Haiku 4.5 | $0.00004 | $0.00081 |
Grade A, and why
short-film-development 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
short-film-development
When to use
- A user has a raw idea, image, premise, theme, genre, character, or mood and wants a short-film concept.
- The user asks for loglines, treatments, outlines, short-story plans, character conflict, theme, acts, or a revision plan.
- The next downstream task is screenplay, shot list, visual bible, image prompts, or video prompts.
When not to use
- The user already has locked script pages and only needs shot extraction.
- The task is only model-specific prompt translation.
- The user wants legal clearance, financing, casting, or production scheduling.
Required inputs
- Raw idea or constraint
- Target length or runtime range
- Genre/tone/audience if known
- Any required characters, locations, or production limits
Optional inputs
- Reference films or style anchors
- Theme or emotional promise
- Available AI models or output format
- Continuity bible entries
Workflow
- Clarify the creative intent layer: story engine, theme, protagonist desire, emotional wound, obstacle, stakes, point of view if prose, and audience experience.
- Generate 3 to 5 divergent concept routes when the idea is early; select or recommend one based on specificity, feasibility, and cinematic promise.
- Write a logline with protagonist, goal, obstacle, stakes, and irony or pressure.
- Expand into premise, theme statement, character engine, central conflict, world rules, and ending direction.
- Choose a compact structure: unity-of-effect short story, Fichtean crisis curve, single turning point, three-beat micro-arc, circular reveal, escalation spiral, or procedural countdown.
- Create a scene list where every scene has dramatic purpose, visual purpose, emotional turn, and continuity needs.
- Produce a revision plan that strengthens causality, compresses exposition, and removes unfilmable abstraction.
Decision logic
- If the idea is vague, run idea intake before writing.
- If the concept is visually strong but narratively thin, build the character want/need conflict first.
- If runtime is under 3 minutes, prefer one location, one core conflict, and one major turn.
- If the user wants prompts soon, preserve image/video-ready visual anchors in every scene.
What ships with it
16 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.
- checklists/concept_quality_checklist.md 278 B
- examples/idea_to_logline.md 678 B
- examples/logline_to_outline.md 614 B
- references/ai_storytelling_workflow.md 2.3 KB
- references/continuity_handoff.md 401 B
- references/screenplay_structure.md 758 B
- references/story_development_workflow.md 1022 B
- templates/beat_sheet.md 185 B
- templates/idea_intake.md 355 B
- templates/logline.md 327 B
- templates/short_film_treatment.md 328 B
- templates/short_story_plan.md 405 B
- templates/story_premise.md 359 B
- templates/story_revision_audit.md 569 B
- tests/output_format_tests.md 188 B
- tests/routing_tests.md 301 B
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 · 84 lines · 44 tokens per session scan A 7092c4c43c28
short-film-development is a skill published in the GitHub repository 0xhughs/director-skills (8 stars, last pushed 3mo ago), licensed MIT. It adds 44 tokens to every session and 815 once invoked, about $0.0002 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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