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 velinussage/brand-gen --skill brand-content-ideationgit clone --depth 1 https://github.com/velinussage/brand-genWrote 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/velinussage/brand-gen/brand-content-ideation)<a href="https://agentmods.dev/skills/velinussage/brand-gen/brand-content-ideation"><img src="https://agentmods.dev/badge/skills/velinussage/brand-gen/brand-content-ideation/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/velinussage/brand-gen/brand-content-ideation"><img src="https://agentmods.dev/badge/skills/velinussage/brand-gen/brand-content-ideation.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 | $0.00156 | $0.01889 |
| Opus 5 | $0.00078 | $0.00945 |
| Sonnet 5 | $0.00031 | $0.00378 |
| Haiku 4.5 | $0.00016 | $0.00189 |
Grade A, and why
brand-content-ideation 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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Content Ideation
Pi / Sage full-pipeline prompt
For Sage brand work in Pi, use the paste-ready prompt at docs/prompts/pi-sage-brand-gen-full-pipeline.md. It routes Pi through the typed brand_* tools, the brand-orchestrator subagent, exact-text gates, v2/DSPy review, GEPA-ready disagreement fields, and typed mutation loops. Keep this link instead of copying the full prompt into skill bodies.
Turn brand truth into publishable content. This skill bridges the gap between "we have a brand identity" and "we have content worth posting."
The problem this solves
brand-gen generates visuals. But before generating a content card or carousel, you need to decide: what is the card about? What headline, what body text, what CTA? This skill answers that question.
Pipeline
1. Gather brand context (auto — from brand identity)
2. Ask discovery questions (interactive — 3-5 questions)
3. Generate content brief (structured — topic + angle + copy + format)
4. Map brief to material type (auto — content-card, editorial-card, carousel-slide)
5. Feed to brand-gen pipeline (auto — prompt_seed + material_type + copy)
Step 1: Gather brand context
Before asking the user anything, load stored context:
bgen show-session-summary --format json
Extract:
- Brand pillars:
identity_core.tone_words - Messaging:
messaging.tagline,messaging.elevator,messaging.value_propositions - Voice:
messaging.voice.description,messaging.voice.tone_words - Approved copy:
messaging.approved_copy_bank(headlines, subheadlines, slogans) - Product truth:
brand.summary
Step 2: Discovery questions
Ask 3-5 questions to narrow the content brief. Ask one at a time, respond, then ask next.
Question bank (pick the most relevant 3-5)
Purpose: What should the audience understand or do after seeing this? Is this awareness, consideration, or decision? Educating existing users or attracting new ones?
Audience: Who sees this? What do they already know? What's their biggest misconception or pain point?
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.
- 11d ago First seen · 206 lines · 156 tokens per session scan A 861bc1f16364
brand-content-ideation is a skill published in the GitHub repository velinussage/brand-gen (0 stars, last pushed 3mo ago), licensed MIT. It adds 156 tokens to every session and 1,889 once invoked, about $0.0008 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.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.