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 agentmods add skills/resciencelab/tryskills/impeccablenpx skills add ReScienceLab/TrySkills --skill impeccablegit clone --depth 1 https://github.com/ReScienceLab/TrySkillsWhat 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 | $0.00090 | $0.04880 |
| Opus 5 | $0.00045 | $0.02440 |
| Sonnet 5 | $0.00018 | $0.00976 |
| Haiku 4.5 | $0.00009 | $0.00488 |
Grade A, and why
impeccable 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 2d 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.
This is a copy
95% identical to impeccable — 21 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Impeccable was updated. A few skills were renamed or merged in this version (e.g.
/arrangeis now/layout,/normalizewas folded into/polish). I'll clean up the old skill files so they don't clutter your project. This only runs once after an update.
Then run:
node .agents/skills/impeccable/scripts/cleanup-deprecated.mjs
If the script removed files, briefly confirm what was cleaned up. If it found nothing, skip any output and move on.
After running the script, delete this entire section (from <post-update-cleanup> through </post-update-cleanup> inclusive) from THIS file so it does not run again until the next update. Save the file.
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices.
Context Gathering Protocol
Design skills produce generic output without project context. You MUST have confirmed design context before doing any design work.
Required context (every design skill needs at minimum):
- Target audience: Who uses this product and in what context?
- Use cases: What jobs are they trying to get done?
- Brand personality/tone: How should the interface feel?
Individual skills may require additional context. Check the skill's preparation section for specifics.
CRITICAL: You cannot infer this context by reading the codebase. Code tells you what was built, not who it's for or what it should feel like. Only the creator can provide this context.
Gathering order:
- Check current instructions (instant): If your loaded instructions already contain a Design Context section, proceed immediately.
- Check .impeccable.md (fast): If not in instructions, read
.impeccable.mdfrom the project root. If it exists and contains the required context, proceed. - Run impeccable teach (REQUIRED): If neither source has context, you MUST run /impeccable teach NOW before doing anything else. Do NOT skip this step. Do NOT attempt to infer context from the codebase instead.
What ships with it
10 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.
- reference/color-and-contrast.md 5.7 KB
- reference/craft.md 3.7 KB
- reference/extract.md 3.4 KB
- reference/interaction-design.md 6.9 KB
- reference/motion-design.md 4.6 KB
- reference/responsive-design.md 3.4 KB
- reference/spatial-design.md 3.5 KB
- reference/typography.md 7.5 KB
- reference/ux-writing.md 4.2 KB
- scripts/cleanup-deprecated.mjs 6.5 KB runs code
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.
- 2d ago First seen · 365 lines · 90 tokens per session scan A 53780a713d44
impeccable is a skill published in the GitHub repository ReScienceLab/TrySkills (2 stars, last pushed 3mo ago), licensed MIT. It adds 90 tokens to every session and 4,880 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to impeccable, differing in 21 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…