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/schalkneethling/webdev-agent-skills/component-usage-analysisnpx skills add schalkneethling/webdev-agent-skills --skill component-usage-analysisgit clone --depth 1 https://github.com/schalkneethling/webdev-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/schalkneethling/webdev-agent-skills/component-usage-analysis)<a href="https://agentmods.dev/skills/schalkneethling/webdev-agent-skills/component-usage-analysis"><img src="https://agentmods.dev/badge/skills/schalkneethling/webdev-agent-skills/component-usage-analysis.svg" alt="Measured on agentmods" 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 | $0.00059 | $0.01314 |
| Opus 5 | $0.00030 | $0.00657 |
| Sonnet 5 | $0.00012 | $0.00263 |
| Haiku 4.5 | $0.00006 | $0.00131 |
Grade A, and why
component-usage-analysis 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 3d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Component Usage Analysis
Analyse component dependencies and usage patterns to support safe refactoring and removal.
Trigger Phrases
- "Find all usages of
<component>" - "Which components use
<component>?" - "Check if
<component>can be safely removed" - "Find components using
<component>with property X" - "Audit dependencies for
<component>" - "What would break if I change
<component>?"
Configuration
This skill assumes the component library structure:
apps/component-library/
├── src/components/
│ ├── elements/
│ ├── patterns/
│ ├── template-components/
│ └── templates/
Analysis Methodology
Step 1: Identify the Target
Clarify with the user:
- Target component: Which component to analyse (e.g.,
elements/image) - Properties of interest: Specific properties to filter by (optional)
- Analysis goal: Usage audit, removal check, or refactoring impact
Step 2: Twig Include Analysis
Find all components that include the target via Twig.
Search pattern:
grep -rn "{% include \"@<tier>/<component>" src/components/
Example for elements/image:
grep -rn '{% include "@elements/image' src/components/
For each match:
- Note the file path (consuming component)
- Extract the
with {}block to identify which properties are passed - Record whether target properties are present
Extracting the with block:
Twig includes may span multiple lines:
{% include "@elements/image/image.twig" with {
src: item.image.src,
alt: item.image.alt,
description: item.image.description
} %}
Use multi-line search or examine files directly when the with block is complex.
See references/search-patterns.md for detailed patterns.
Step 3: Mock Reference Analysis
Find all components whose mocks reference the target component.
Search pattern:
grep -rn '\$ref: <tier>/<component>#' src/components/
Example for elements/image:
What ships with it
1 file 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.
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.
- 3d ago First seen · 211 lines · 59 tokens per session scan A a29a019e45d6
component-usage-analysis is a skill published in the GitHub repository schalkneethling/webdev-agent-skills (7 stars, last pushed 4mo ago), licensed MIT. It adds 59 tokens to every session and 1,314 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.
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…