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 liqiongyu/lenny_skills_plus --skill running-design-reviewsgit clone --depth 1 https://github.com/liqiongyu/lenny_skills_plusWrote 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/liqiongyu/lenny_skills_plus/running-design-reviews)<a href="https://agentmods.dev/skills/liqiongyu/lenny_skills_plus/running-design-reviews"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/running-design-reviews/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/liqiongyu/lenny_skills_plus/running-design-reviews"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/running-design-reviews.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 | $0.00024 | $0.01873 |
| Opus 5 | $0.00012 | $0.00937 |
| Sonnet 5 | $0.00005 | $0.00375 |
| Haiku 4.5 | $0.00002 | $0.00187 |
Grade A, and why
running-design-reviews 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 9d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Running Design Reviews
Scope
Covers
- Planning a design review with a clear decision and requested feedback type(s)
- Running a live demo–centered critique (or async review when needed)
- Capturing feedback without “design-by-committee”
- Synthesizing feedback using Value → Ease of Use → Delight prioritization
- Recording decisions, tradeoffs, and follow-ups so the review changes the work
When to use
- “Prepare and run a design critique for this Figma prototype.”
- “We need a structured design review agenda and feedback log.”
- “Help us review this flow and decide what to change before we ship.”
- “Turn messy comments into prioritized feedback + next steps.”
When NOT to use
- You don’t have a defined problem, target user, or goal yet (use
problem-definitionfirst). - You need build-ready interaction specs / acceptance criteria (use
writing-specs-designs). - You need evidence from users rather than expert critique -> use
usability-testing. - You’re doing launch planning, comms, rollout/rollback (use
shipping-products). - You need a general meeting facilitation framework, not a design-specific critique -> use
running-effective-meetings. - You need to establish or audit design system components/tokens -> use
design-systems. - You need to improve the design-to-engineering handoff process -> use
design-engineering.
Inputs
Minimum required
- Design artifact(s): link(s) or screenshots (e.g., Figma/prototype) + what parts are in scope
- The decision needed (what will change after the review)
- Target user + job-to-be-done (1–2 sentences)
- Success criteria (1–3) and constraints (time, platform, accessibility, tech)
- Review format + logistics: live vs async, time box, attendees/roles
Missing-info strategy
- Ask up to 5 questions from references/INTAKE.md, then proceed.
- If answers aren’t available, make explicit assumptions and clearly label them.
- Do not request secrets or credentials.
Outputs (deliverables)
What ships with it
13 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.
- eval/eval_config.json 863 B
- eval/SHOWCASE.md 5.2 KB
- eval/with_skill.md 28 KB
- eval/without_skill.md 17 KB
- README.md 1020 B
- references/CHECKLISTS.md 1.5 KB
- references/EXAMPLES.md 1.5 KB
- references/INTAKE.md 1.8 KB
- references/RUBRIC.md 2.6 KB
- references/SOURCE_SUMMARY.md 2.1 KB
- references/TEMPLATES.md 2.8 KB
- references/WORKFLOW.md 2.4 KB
- skillpack.json 378 B
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.
- 9d ago First seen · 134 lines · 24 tokens per session scan A e12452a94161
running-design-reviews is a skill published in the GitHub repository liqiongyu/lenny_skills_plus (52 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 1,873 once invoked, about $0.0001 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 2026-09-03.
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