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 AkshitIreddy/agent-skills --skill build-and-lookgit clone --depth 1 https://github.com/AkshitIreddy/agent-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/akshitireddy/agent-skills/build-and-look)<a href="https://agentmods.dev/skills/akshitireddy/agent-skills/build-and-look"><img src="https://agentmods.dev/badge/skills/akshitireddy/agent-skills/build-and-look/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/akshitireddy/agent-skills/build-and-look"><img src="https://agentmods.dev/badge/skills/akshitireddy/agent-skills/build-and-look.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 | $0.00057 | $0.00665 |
| Opus 5 | $0.00028 | $0.00332 |
| Sonnet 5 | $0.00011 | $0.00133 |
| Haiku 4.5 | $0.00006 | $0.00067 |
Grade A, and why
build-and-look 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build it, look at it, try another
For anything you can see or hear, judgement beats prediction. You cannot reason your way to "does this look good" — you can only look. Long deliberation before the first render is usually wasted: the answer only appears once something exists.
If you have been thinking for a while without producing an artifact, stop and build the crudest version now.
The loop
- Build the smallest real thing — not a plan, an artifact you can render.
- Look at it. Screenshot it, read the image, play the sound, watch the animation.
- Name what is wrong in concrete terms ("values are all mid-tone", "the easing lands too abruptly").
- Change one thing and look again.
Three rounds of this beat an hour of reasoning, every time.
Try variations in parallel, not in sequence
When a choice is aesthetic, do not agonise over which option is best — make several and compare them side by side. Render 4–8 variants into a single contact sheet: different palettes, spacings, easing curves, densities, light angles. Looking at them together makes the answer obvious in seconds, and often reveals a better option you would not have reasoned your way to.
This is cheap. A variant is usually a parameter change and a re-render. Generate generously.
Do not reduce motion to stills
Still frames are excellent for composition and poor proof of temporal correctness. A transition can look perfect at every chosen checkpoint and still flicker between them, reorder layers for one frame, or pop on commit. For motion, watch the real interaction repeatedly at normal and rapid input, then inspect the code's preparation/ownership/commit order. Treat automated captures as aids; a repeatable human observation on the real app wins over a headless non-reproduction.
Bias to action
- Prototype before specifying. A rough render answers questions a document cannot.
- When stuck between two approaches, build both crudely rather than debating.
- When a change is reversible and quick, just try it.
- Keep the feedback loop short: one harness you can re-run in seconds beats an elaborate pipeline.
- Do not polish an approach you have not yet validated visually.
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 · 54 lines · 57 tokens per session scan A 0f706219bc5d
build-and-look is a skill published in the GitHub repository AkshitIreddy/agent-skills (1 stars, last pushed 15d ago), licensed MIT. It adds 57 tokens to every session and 665 once invoked, about $0.0003 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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