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/zai-org/synapse/impeccablenpx skills add zai-org/Synapse --skill impeccablegit clone --depth 1 https://github.com/zai-org/SynapseWhat 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 | $0.00189 | $0.05153 |
| Opus 5 | $0.00095 | $0.02576 |
| Sonnet 5 | $0.00038 | $0.01031 |
| Haiku 4.5 | $0.00019 | $0.00515 |
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
86% identical to impeccable — 55 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Designs and iterates production-grade frontend interfaces. Real working code, committed design choices, exceptional craft.
Setup
You MUST do these steps before proceeding:
- Run
node .agents/skills/impeccable/scripts/context.mjsonce per session. If the request names or implies a file, route, or app inside a monorepo, infer the concrete path and runnode .agents/skills/impeccable/scripts/context.mjs --target <path>instead. If you've already seen its output in this conversation, do not re-run it. The script either prints the project's PRODUCT.md (and DESIGN.md when present) as a markdown block, or tells you it's missing. Follow whatever it prints. If it reportsNO_PRODUCT_MD, stop and followreference/init.mdbefore doing anything else. If the output ends with anUPDATE_AVAILABLEdirective, follow it (ask the user once about updating, then continue). It never blocks the current task. - If the user invoked a sub-command (
craft,shape,audit,polish, ...), you MUST readreference/<command>.mdnext. Non-optional. The reference defines the command's flow; without it you will skip steps the user expects. - Familiarize yourself with any existing design system, conventions, and components in the code. Read at least one project file (CSS / tokens / theme / a representative component or page). Required even when you've loaded a sub-command reference in step 2. Don't reinvent the wheel; use what's there when it works, branch out when the UX wins.
- Read the matching register reference. This is non-optional; skipping it produces generic output. If the project is marketing, a landing page, a campaign, long-form content, or a portfolio (design IS the product), read
reference/brand.md. If it is app UI, admin, a dashboard, or a tool (design SERVES the product), readreference/product.md. Pick by first match: (1) task cue ("landing page" vs "dashboard"); (2) surface in focus (the page, file, or route being worked on); (3)registerfield in PRODUCT.md. - If the project is brand-new (no existing CSS tokens / theme / committed brand colors found in step 3), run
node .agents/skills/impeccable/scripts/palette.mjsto receive a brand seed color and composition guidance. This is the anchor for your primary brand color. Compose the rest of the palette (bg, surface, ink, accent, muted) around it per the script's instructions. Use OKLCH throughout. Skip this step only if step 3 found committed brand colors in existing tokens; in that case identity-preservation wins.
What ships with it
60 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.
- agents/impeccable_asset_producer.toml 8.1 KB
- agents/impeccable_manual_edit_applier.toml 6.9 KB
- agents/openai.yaml 235 B
- reference/adapt.md 9.9 KB
- reference/animate.md 10 KB
- reference/audit.md 7.1 KB
- reference/bolder.md 6.9 KB
- reference/brand.md 10 KB
- reference/clarify.md 10 KB
- reference/codex.md 6.8 KB
- reference/colorize.md 13 KB
- reference/craft.md 12 KB
- reference/critique.md 40 KB
- reference/delight.md 9.6 KB
- reference/distill.md 5.6 KB
- reference/document.md 27 KB
- reference/extract.md 3.4 KB
- reference/harden.md 8.4 KB
- reference/hooks.md 8.3 KB
- reference/init.md 13 KB
- reference/interaction-design.md 6.4 KB
- reference/layout.md 8.5 KB
- reference/live.md 59 KB
- reference/onboard.md 7.6 KB
- reference/optimize.md 7.4 KB
- reference/overdrive.md 8.9 KB
- reference/polish.md 13 KB
- reference/product.md 3.7 KB
- reference/quieter.md 4.8 KB
- reference/shape.md 11 KB
- reference/typeset.md 14 KB
- scripts/command-metadata.json 7.8 KB
- scripts/context-signals.mjs 7.9 KB runs code
- scripts/context.mjs 34 KB runs code
- scripts/critique-storage.mjs 8.8 KB runs code
- scripts/detect-csp.mjs 6.6 KB runs code
- scripts/detect.mjs 620 B runs code
- scripts/detector/browser/injected/index.mjs 75 KB runs code
- scripts/detector/cli/main.mjs 12 KB runs code
- scripts/detector/design-system.mjs 24 KB runs code
- scripts/detector/detect-antipatterns-browser.js 214 KB runs code
- scripts/detector/detect-antipatterns.mjs 1.8 KB runs code
- scripts/detector/engines/browser/detect-url.mjs 9.7 KB runs code
- scripts/detector/engines/regex/detect-text.mjs 24 KB runs code
- scripts/detector/engines/static-html/css-cascade.mjs 34 KB runs code
- scripts/detector/engines/static-html/detect-html.mjs 10 KB runs code
- scripts/detector/engines/visual/screenshot-contrast.mjs 6.4 KB runs code
- scripts/detector/findings.mjs 363 B runs code
- scripts/detector/node/file-system.mjs 6.7 KB runs code
- scripts/detector/profile/profiler.mjs 4.4 KB runs code
- scripts/detector/registry/antipatterns.mjs 19 KB runs code
- scripts/detector/rules/checks.mjs 115 KB runs code
- scripts/detector/shared/color.mjs 4.4 KB runs code
- scripts/detector/shared/constants.mjs 4.1 KB runs code
- scripts/detector/shared/inline-ignores.mjs 6.0 KB runs code
- scripts/detector/shared/page.mjs 252 B runs code
- scripts/hook-admin.mjs 24 KB runs code
- scripts/hook-before-edit.mjs 16 KB runs code
- scripts/hook-lib.mjs 59 KB runs code
- scripts/hook.mjs 2.0 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 · 175 lines · 189 tokens per session scan A c06283d40a4d
impeccable is a skill published in the GitHub repository zai-org/Synapse (438 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 189 tokens to every session and 5,153 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to impeccable, differing in 55 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.
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…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
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.