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 skillmds/skillmd --skill ifq-design-skillsgit clone --depth 1 https://github.com/skillmds/skillmdWrote 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/skillmds/skillmd/ifq-design-skills)<a href="https://agentmods.dev/skills/skillmds/skillmd/ifq-design-skills"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/ifq-design-skills/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/skillmds/skillmd/ifq-design-skills"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/ifq-design-skills.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 | $0.00127 | $0.03772 |
| Opus 5.5 | $0.00051 | $0.01509 |
| Sonnet 5 | $0.00025 | $0.00754 |
| Haiku 4.5 | $0.00013 | $0.00377 |
Grade A, and why
ifq-design-skills 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 4d 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IFQ Design Skills
One prompt in -> shippable HTML out, with optional MP4 / GIF / PPTX / PDF / SVG export. This root file is a short router for OpenClaw, ClawHub, skills.sh, Hermes, Codex, Claude Code, Cursor, OpenCode, and other AgentSkills-compatible hosts. Load deeper files only when the task requires them.
30-Second Load Path
- Confirm the request is a visual deliverable built from HTML. If it is not, exit this skill.
- Pick the mode from references/modes.md, then read assets/templates/INDEX.json.
- Fork a listed template into the user's workspace. Never start from a blank HTML file.
- Inline assets/ifq-brand/ifq-tokens.css and weave at least 3 IFQ ambient marks from references/ifq-brand-spec.md.
- Verify with
npm run verify:lite -- <file.html>, thennpm run preview -- <file.html>.
Human + Agent Promise
- Humans get a finished artifact path: HTML first, optional export only when requested, and no hidden setup.
- Agents get a short route: mode, template, must-read references, tier policy, and verification command.
- Maintainers get regression pressure: 12 mode evals, scanner-clean scripts, and marketplace metadata checks.
- Marketplaces get a readable package: one-line install, zero required env vars, explicit permissions, and no silent installs.
First-Run Success Path
After install, make the first interaction produce a visible artifact in one turn:
- Accept a natural-language visual request without turning it into setup work.
- Route it to one mode and one template; name both in the final evidence.
- Write the HTML file into the user's workspace with labeled assumptions for unresolved facts.
- Run
npm run verify:lite -- <file.html>when shell is available, then preview or screenshot with host browser tooling when available. - Report the file path, route, template, verification result, and only caveats that affect use.
What ships with it
12 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.
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.
- 4d ago First seen · 187 lines · 127 tokens per session scan A b169fa71a733
ifq-design-skills is a skill published in the GitHub repository skillmds/skillmd (1 stars, last pushed yesterday), licensed MIT. It adds 127 tokens to every session and 3,772 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-19.
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