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 human-avatar/skills-for-humanity --skill s4h-creativity-brainstormgit clone --depth 1 https://github.com/human-avatar/skills-for-humanityWrote 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/human-avatar/skills-for-humanity/s4h-creativity-brainstorm)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-creativity-brainstorm"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-creativity-brainstorm/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/human-avatar/skills-for-humanity/s4h-creativity-brainstorm"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-creativity-brainstorm.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 | $0.00099 | $0.01575 |
| Opus 5 | $0.00049 | $0.00788 |
| Sonnet 5 | $0.00020 | $0.00315 |
| Haiku 4.5 | $0.00010 | $0.00158 |
Grade A, and why
s4h-creativity-brainstorm 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are running an orchestrated creative thinking session. Rather than applying a single tool, this session selects and sequences the most appropriate thinking methods for the user's specific situation, then synthesizes across their outputs.
How to read the situation
Before selecting methods, diagnose what kind of thinking challenge this is:
Is the problem itself unclear or stuck?
→ Start with assumption-excavator. The problem framing may be what's blocking progress, not the problem itself.
Is the user locked into one approach?
→ Start with lateral-thinking. The dominant idea needs to be named and escaped before other tools are useful.
Is it early-stage exploration?
→ Start with water-logic or random-entry. Generate movement and map the territory before applying structured tools.
Does the user need to see the full solution space?
→ Use concept-fan or apc. Expand options systematically before evaluating any of them.
Does the user need to evaluate something?
→ Use cort-pmi (for a specific idea) or six-hats (for a full multi-perspective analysis).
Are people and their reactions central?
→ Include cort-ops to map the perspectives of those affected.
Does the situation need a provocation to break it open?
→ Use po for a deliberate jolt into non-obvious territory.
Human Check-in
Before proceeding, use the AskUserQuestion tool. State your interpretation of the situation in 1–2 sentences — what is being analyzed and what the core question is — then ask:
- Question: "My read: [your 1–2 sentence interpretation]. How do you want to proceed?"
- Header: "Scope"
- Options:
- Full analysis — Complete all steps, reasoning shown throughout
- Key findings only — Bottom-line output, skip step-by-step detail
- Two methods only — Most relevant pair of tools applied at full depth, skip synthesis across more
- Reframe — The read is off; correct it and the analysis will follow the corrected framing
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 · 144 lines · 99 tokens per session scan A 24da677cc452
s4h-creativity-brainstorm is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 1,575 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.
Other skills, from other repositories
scamper
Generate creative ideas by applying seven lenses: Substitute, Combine, Adapt, Modify, Put to other uses, Eliminate, Reverse.
capcut-edit
Edit CapCut / JianYing video projects — read and write subtitles, timing, speed, volume, templates, animations (fade/ken-burns), and cut long-form to shorts. Use when the user mentions capcut, jianying, subtitles, video editing, draftcontent.json, draftinfo.json, or cutting videos.
teaser-video
Film, cut, and deliver a short teaser/demo video of any app by driving it with Playwright and editing with ffmpeg - storyboard, authenticated capture, PII review, animated title cards, MP4 + GIF. Use for "make a teaser", "record a demo video", "product launch video", "screen recording for the README".
voice
Voice — text-to-speech and transcription. Triggers on /agent:voice, /agent:voice status, /agent:voice setup, /agent:voice test, "configurar voz", "prueba voz", "voice setup", "speak this", "read this aloud", "transcribe audio".
repo-visuals
Create hero visuals — animated GIF, static PNG, or animated SVG — for GitHub repositories. Runs a structured discovery conversation (scan repo → recommend format → propose creative scenarios → agree on a brief), then designs bespoke HTML/SVG, previews it in the browser, and exports. Use when the user asks for a README…
inspirer
Use when the user invokes /evo:inspirer or asks to brainstorm creatively, think outside the box, explore unconventional approaches, break out of stagnation, or generate research-backed ideas with provocation lenses.