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 exiao/pm-skills --skill design-iterationgit clone --depth 1 https://github.com/exiao/pm-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/exiao/pm-skills/design-iteration)<a href="https://agentmods.dev/skills/exiao/pm-skills/design-iteration"><img src="https://agentmods.dev/badge/skills/exiao/pm-skills/design-iteration/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/exiao/pm-skills/design-iteration"><img src="https://agentmods.dev/badge/skills/exiao/pm-skills/design-iteration.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 | $0.00132 | $0.02803 |
| Opus 5 | $0.00066 | $0.01401 |
| Sonnet 5 | $0.00026 | $0.00561 |
| Haiku 4.5 | $0.00013 | $0.00280 |
Grade A, and why
design-iteration 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 10d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Iteration
The loop step between testing a design and re-testing it. Something else generated the feedback (a design-review, a marketing-psychology / persuasion review, an another-perspective council, a synthetic-userstudies run, a UI-lint report, or the user's own notes). Your job is to turn that feedback into a revised version without losing the plot: every change is traceable to the critique that drove it, so the next test can measure improvement instead of just noticing the design changed.
Two ways to invoke this skill
Node mode (default): critique already exists (the user pastes a review, or a prior step produced one). Go straight to The loop below: triage → revise → change log. This is the single-responsibility core.
Full-loop mode: the user points at a raw mockup with no critique yet, e.g. "run design-iteration on this mockup / on <url>". There's nothing to triage yet, so you orchestrate the whole test-iterate-test pipeline: generate the critique (by invoking the sibling test skills), run the iterate node between each, and polish at the end. You still only own the iterate node. The review, study, and lint are separate skills you call; this skill never reimplements their logic. If you catch yourself writing a heuristic scorecard or a persona interview inline, stop, that's the sibling skill's job, invoke it.
Full-loop pipeline (the proven order)
Run these in sequence. Each → iterate is a pass of this skill's core loop on whatever the prior step produced.
- Reach for the design system (step 3 below) so critique isn't distracted by off-brand noise. Apply it loosely up front; save strict conformance for the end.
- Generate critique in parallel — dispatch
design-review+ a marketing-psychology / persuasion review +another-perspectiveas concurrent subagents against the artifact. They're independent, so fan them out in one batch, don't serialize. → iterate(pass 1) on the combined critique. Triage keep/change/kill, revise the winners in the real source, emit the change log.synthetic-userstudies(Variant Panel Mode) on the revised artifact: 4-6 personas weighted to the real leaking segment, adversarial ones included, one subagent per persona.→ iterate(pass 2) on the panel. Convergence only: an issue 2+ personas hit independently earns a fix; a single persona's taste complaint does not. Calibrate to the real audience, don't let the most fragile persona over-drive fixes (seesynthetic-userstudiesfor the false-floor rule).- A final UI-polish pass on the survivor: motion/timing, tap targets (44px floor), contrast (WCAG AA), typography, using a dedicated lint/polish skill if you have one. Verify computed contrast/size numerically, don't eyeball.
- Deploy + verify live, then emit a final summary tracing the whole arc.
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.
- 10d ago First seen · 135 lines · 132 tokens per session scan A 1b9fa150cb21
design-iteration is a skill published in the GitHub repository exiao/pm-skills (9 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 132 tokens to every session and 2,803 once invoked, about $0.0007 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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