SKILLS & AGENTS/Skill 与 Agent
FastLED/FastLED
The FastLED library for colored LED animation on Arduino. Please direct questions/requests for help to the FastLED Reddit community: http://fastled.io/r We'd like to use github "issues" just for tracking library bugs / enhancements.
怎么装：Install: git clone https://github.com/fastled/fastled
02 / 现在的位置02 / Why now
首次发现FIRST SEEN
03 OCT 202603 OCT 2026
增长GROWTH
+0.0%+0.0%
7.5k → 7.5k stars · 2 个快照7.5k → 7.5k stars · 2 snapshots
讨论DISCUSSION
1 SOURCES1 SOURCES
1 条外部提及1 external mentions
状态STATUS
持续活跃Active
HN_STORY · 2 points · 0 comments
03 / 它能帮你做什么03 / What it helps you do
04 / 安装04 / Install
$ README 里给出的安装方式。The installation method given in the README.
$ README 里给出的安装方式。The installation method given in the README.
两种装法选一个即可 —— 上面那条给命令行用户，下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.
05 / 限制与风险05 / Limits and risk
风险不是警告，是可信度的一部分。以下结论只基于文档静态扫描，我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.
限制LIMITS
未知Unknown
静态扫描STATIC SCAN
在 README、SKILL.md 和依赖清单中没有匹配到已知风险模式。No known risk patterns matched in the README, SKILL.md or dependency list.这不等于安全that does not mean it is safe，只能说明文档里没写。 — only that the docs do not mention it.
这里只做静态扫描：读 README、SKILL.md 和依赖清单，不执行代码。没有命中不代表安全。This is static scanning only: we read the README, SKILL.md and dependency list, and never execute code. No findings does not mean safe.
{
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"evidence": "tree: .claude/"
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{
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"apiKey": null,
"docker": null,
"taxonomy": {
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},
"primary": "skill-agent",
"secondary": null
},
"localRuntime": "install: git-clone",
"skillMdTotal": 25,
"skillMdErrors": [
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"path": ".claude/skills/ci-fix/SKILL.md",
"error": "Unexpected flow-seq-start at node end at line 3, column 33:"
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{
"path": ".claude/skills/gh-healthcheck/SKILL.md",
"error": "Unexpected flow-seq-start at node end at line 3, column 39:"
},
{
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"error": "Unexpected flow-seq-start at node end at line 3, column 28:"
}
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"treeTruncated": false,
"categoryScores": {
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},
"classification": [
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