Borrowing it
Nothing to install: this file belongs to Synerise/synerise-design. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Synerise/synerise-design/master/.claude/skills/component-claude-md/SKILL.mdgit clone --depth 1 https://github.com/Synerise/synerise-designWrote 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/synerise/synerise-design/component-claude-md)<a href="https://agentmods.dev/skills/synerise/synerise-design/component-claude-md"><img src="https://agentmods.dev/badge/skills/synerise/synerise-design/component-claude-md/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/synerise/synerise-design/component-claude-md"><img src="https://agentmods.dev/badge/skills/synerise/synerise-design/component-claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00037 | $0.02074 |
| Opus 5 | $0.00018 | $0.01037 |
| Sonnet 5 | $0.00007 | $0.00415 |
| Haiku 4.5 | $0.00004 | $0.00207 |
Grade A, and why
component-claude-md 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 5d 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Analyse a single component package and write a CLAUDE.md file inside it (packages/components/<package-name>/CLAUDE.md). The file gives Claude (and other AI tools) a concise, accurate mental model of the component so future tasks — bug fixes, new features, audits, Code Connect — can be completed without re-reading every source file each time.
Arguments
The user must provide:
- Package name — e.g.,
modal,button,popover(kebab-case directory name underpackages/components/)
If the package name was not provided, ask: "Which package would you like to document? (e.g. modal, button, popover)"
Workflow
Step 1 — Read all source files
Locate and read every relevant file in the package. Do NOT skip files — the quality of the CLAUDE.md depends on reading the actual code.
packages/components/<package-name>/
src/
<Name>.tsx ← main component
<Name>.types.ts(x) ← prop interfaces
<Name>.styles.tsx ← styled-components
index.ts(x) ← public exports
<SubName>/ ← sub-components (recurse into each)
use*.ts(x) ← custom hooks
*utils*, *helpers*, *constants* ← utilities
__specs__/ or *.test.tsx ← tests (scan but don't read in full)
package.json
README.md (if present)
Also check for stories (used to understand usage patterns, not documented in full):
packages/storybook/stories/components/<PascalName>/*.stories.tsx
Step 2 — Analyse the component
Extract the following information from the source files:
2.1 Purpose
What does this component do? One or two sentences. Derive from component name, JSDoc, README, and actual render output.
2.2 Public API
For each exported symbol from index.ts:
- Component name
- Props interface (all props with types and defaults — read from
.types.tsanddefaultProps/ default parameter values) - Whether it has a
ref/forwardRef - Imperative handles (
useImperativeHandle)
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.
- 5d ago First seen · 232 lines · 37 tokens per session scan A 24970f45d415
component-claude-md is a skill published in the GitHub repository Synerise/synerise-design (96 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 2,074 once invoked, about $0.0002 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 2026-09-04.
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