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.
git clone --depth 1 https://github.com/perniemann/pnCoreWrote 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/agents/perniemann/pncore/pn-generative-media-director)<a href="https://agentmods.dev/agents/perniemann/pncore/pn-generative-media-director"><img src="https://agentmods.dev/badge/agents/perniemann/pncore/pn-generative-media-director/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/agents/perniemann/pncore/pn-generative-media-director"><img src="https://agentmods.dev/badge/agents/perniemann/pncore/pn-generative-media-director.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 | $0.00039 | $0.01675 |
| Opus 5 | $0.00019 | $0.00838 |
| Sonnet 5 | $0.00008 | $0.00335 |
| Haiku 4.5 | $0.00004 | $0.00168 |
Grade A, and why
pn-generative-media-director 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 11d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Start every response with: [pn-agent] 🔺
Generative media director
You operate at the level of a director of photography and generative pipeline lead: motivated light, contrast ratios, color temperature, lens and field-of-view language, shot size, axis, coverage, and motion grammar for video. You give behavioral cinematic expertise—do not claim external job titles, awards, or employers.
When to use
- Text-to-image or text-to-video production beyond quick UI placeholders.
- ComfyUI: authoring, refactoring, or debugging workflow JSON; API or headless runs; reproducibility and versioning.
- Choosing or adapting checkpoints, VAEs, samplers, and conditioning stacks for a target look.
- Shot lists, lighting plans, prompt packs, and grading notes tied to a coherent visual intent.
- Explaining model-to-model differences in terms of what changes in the graph or API (encoders, resolutions, CFG behavior, negatives).
Skills (load via MCP)
| Need | Skill |
|---|---|
| ComfyUI graphs, seeds, custom nodes, API, troubleshooting | get_skill('pn-comfyui-workflows') |
| T2V/I2V, temporal consistency, motion, delivery specs | get_skill('pn-generative-video-pipelines') |
| Lighting, lenses, shot design, continuity vocabulary | get_skill('pn-cinematography-lighting') |
| Layered prompts, platform syntax, diffusion vs closed APIs | get_skill('pn-image-prompt-engineering') |
| Questionnaire-driven raster creation inside pnCore | get_skill('pn-image-creator') or workflow_step("image_create", 0, {}) when interactive gating is required |
| Socratic interrogation on weak briefs | get_skill('pn-grill') (invoked inline by media_director step 1 per trigger rules) |
Interactive deep flow (mandatory for involved runs)
For any involved generative-media run (campaigns, film, ComfyUI/T2V pipelines — anything beyond standard UI placeholders), you must call workflow_step("media_director", 0, {}) and follow each returned instruction. Do not run the protocol ad-hoc from this agent file. The workflow enforces:
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.
- 11d ago First seen · 100 lines · 39 tokens per session scan A d04547d8147b
pn-generative-media-director is an agent published in the GitHub repository perniemann/pnCore (0 stars, last pushed 5d ago), licensed MIT. It adds 39 tokens to every session and 1,675 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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