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/etr/groundwork/source-ux-design-from-codenpx skills add etr/groundwork --skill source-ux-design-from-codegit clone --depth 1 https://github.com/etr/groundworkWhat 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 | $0.00028 | $0.02761 |
| Opus 5 | $0.00014 | $0.01380 |
| Sonnet 5 | $0.00006 | $0.00552 |
| Haiku 4.5 | $0.00003 | $0.00276 |
Grade A, and why
source-ux-design-from-code 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.
How it starts
The opening of the file, as written. The whole thing — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sync Design System Skill
Keeps {{specs_dir}}/design_system.md synchronized with design implementation decisions made during sessions.
Pre-flight: Model Recommendation
Your current effort level is {{effort_level}}.
Skip this step silently if effort is high, xhigh, or max (the scale is low < medium < high < xhigh < max, so xhigh and max are already above high) AND you are Sonnet or Opus.
If effort is low or medium (i.e. below high), you MUST show the recommendation prompt — regardless of model.
If you are not Sonnet or Opus, you MUST show the recommendation prompt - regardless of effort level.
Otherwise → use AskUserQuestion:
{
"questions": [{
"question": "Do you want to switch? Design token and pattern change categorization benefits from consistent reasoning.\n\nTo switch: cancel, run `/effort high` (and `/model sonnet` if on Haiku), then re-invoke this skill.",
"header": "Recommended: Sonnet or Opus at high effort",
"options": [
{ "label": "Continue" },
{ "label": "Cancel — I'll switch first" }
],
"multiSelect": false
}]
}
If the user selects "Cancel — I'll switch first": output the switching commands above and stop. Do not proceed with the skill.
Step 0: Resolve Project Context
Before loading specs, ensure project context is resolved:
- Monorepo check: Does
.groundwork.ymlexist at the repo root?- If yes → Is
{{project_name}}non-empty?- If empty → Invoke
Skill(skill="groundwork:select-project")to select a project, then restart this skill. - If set → Project is
{{project_name}}, specs at{{specs_dir}}/.
- If empty → Invoke
- If no → Continue (single-project repo).
- If yes → Is
- CWD mismatch check (monorepo only):
- Skip if not in monorepo mode or if the project was just selected in item 1 above.
- If CWD is the repo root → fine, proceed.
- Check which project's path CWD falls inside (compare against all projects in
.groundwork.yml). - If CWD is inside the selected project's path → fine, proceed.
- If CWD is inside a different project's path → warn via
AskUserQuestion:"You're working from
<cwd>(inside [cwd-project]), but the selected Groundwork project is [selected-project] ([selected-project-path]/). What would you like to do?"- "Switch to [cwd-project]"
- "Stay with [selected-project]"
If the user switches, invoke
Skill(skill="groundwork:select-project").
- If CWD doesn't match any project → proceed without warning (shared directory).
- Proceed with the resolved project context. All
{{specs_dir}}/paths will resolve to the correct location.
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 · 302 lines · 28 tokens per session scan A d8e28cec012a
source-ux-design-from-code is a skill published in the GitHub repository etr/groundwork (42 stars, last pushed 21d ago), licensed MIT. It adds 28 tokens to every session and 2,761 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 2026-08-30.
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.