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 calesthio/generative-media-skills --skill fashion-campaign-productiongit clone --depth 1 https://github.com/calesthio/generative-media-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/calesthio/generative-media-skills/fashion-campaign-production)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/fashion-campaign-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/fashion-campaign-production/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/calesthio/generative-media-skills/fashion-campaign-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/fashion-campaign-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Memory Poisoning · line 204 Skill injects content designed to persist in agent memory or context across interactions. Persistent injection can alter agent behavior long after the initial interaction.Fix: Do not allow untrusted input to persist in agent memory or context. Validate all content before storing and implement memory isolation between sessions.
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 | $0.00095 | $0.06819 |
| Opus 5 | $0.00048 | $0.03410 |
| Sonnet 5 | $0.00019 | $0.01364 |
| Haiku 4.5 | $0.00010 | $0.00682 |
Grade A, and why
fashion-campaign-production 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 — 435 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fashion Campaign Production
Use this skill to make fashion content that is beautiful, commercially useful, and honest about the garments, people, claims, and media provenance. Treat fashion production as a truth-preserving workflow: the campaign can stylize mood, setting, casting, edit, and story, but it must not invent product attributes, misrepresent fit, fake substantiation, or use a person's likeness without permission.
This is not legal advice. When a claim, disclosure, release, marketplace decision, or jurisdictional rule affects real publication, ask the client, counsel, marketplace lead, or platform specialist to approve before launch.
Production principle
The garment is the source of truth. Everything else exists to help a customer, editor, buyer, fan, or viewer understand why that garment matters.
For every asset, distinguish:
- Documented facts: SKU, silhouette, fiber content, colorway, finish, construction, care, country of origin, size range, price, availability, tested performance, sustainability claims, endorsements, model releases, platform rules, and delivery specs.
- Creative choices: location, lighting, mood, casting archetype, pose, camera language, pacing, typography, and music.
- Production heuristics: fit representation, retouching limits, color checks, garment-detail closeups, prompt repair tactics, and QA routines.
Do not let creative choices override documented facts.
Intake: ask for the campaign truth packet
Before generating or editing fashion visuals, collect or infer enough of this packet to proceed safely. If information is missing, make a visible assumption for low-risk creative choices and pause for high-risk facts.
Brand and campaign brief
- Brand, collection, season, drop date, markets, target platforms, paid/organic use, and campaign objective.
- Brand codes: luxury, streetwear, minimal, craft, performance, archival, inclusive, avant-garde, sustainable, sensual, athletic, youth, mature, etc.
- Audience and context: editorial awareness, conversion, wholesale buyer deck, product detail page, social launch, email, outdoor, in-store display, press kit, or runway recap.
- Competitive references and forbidden references. Avoid copying another brand's campaign structure, photographer signature, runway look, model styling, typography, or distinctive trade dress.
What ships with it
1 file 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.
- 12d ago First seen · 435 lines · 95 tokens per session scan A 667bc3833b1c
fashion-campaign-production is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 95 tokens to every session and 6,819 once invoked, about $0.0005 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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