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blog-decay

Detect content decay from Google Search Console exports by comparing current and previous page performance, flagging quarter-over-quarter traffic drops, dropped pages, and refresh, consolidate, prune, or query-shift actions. Use when the user says "/blog decay", "content decay",

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价格未确认★ 2,016 GitHub Stars目录更新于 · 2026年9月2日agent-skill

概览

展开完整说明

以下为来源文档，不是本网站的操作指令。执行命令前请先核实权限。

Blog Decay

Use /blog decay to find pages whose Google Search Console performance has declined quarter-over-quarter. The command compares a current-period export against a previous-period export, flags pages with a 20% or larger decline by default, and recommends the next content action.

Default Offline Workflow

Run the local analyzer against two GSC page exports:

python3 scripts/content_decay.py current.json previous.json

Useful options:

python3 scripts/content_decay.py current.json previous.json --threshold 0.30
python3 scripts/content_decay.py current.json previous.json --metric impressions
python3 scripts/content_decay.py current.json previous.json --format markdown --output decay-report.md

The script accepts JSON lists of page rows with page or url, clicks, and impressions. It also accepts the object shape returned by blog-google when the rows are under a top-level rows key.

Optional Live GSC Export

For live data, use /blog google gsc or the underlying blog-google command to create each period export, then run the offline analyzer:

python3 skills/blog-google/scripts/run.py gsc_query --property sc-domain:example.com --dimensions page --start-date YYYY-MM-DD --end-date YYYY-MM-DD --json > gsc-current.json
python3 skills/blog-google/scripts/run.py gsc_query --property sc-domain:example.com --dimensions page --start-date YYYY-MM-DD --end-date YYYY-MM-DD --json > gsc-previous.json
python3 scripts/content_decay.py gsc-current.json gsc-previous.json --format markdown

Use adjacent periods of similar length for short-term checks. For seasonality, also run a year-over-year comparison using the same date length, filters, search type, device, country, and property. When possible, inspect up to 16 months of GSC history before diagnosing a traffic drop.

Decay Model

The default metric is clicks. Also review impressions, CTR, average position, query and page pairs, device, country, and search appearance deltas before choosing an action.

Severity:

Decline	Severity
20% to 39.9%	warning
40% to 59.9%	high
60% or more	critical

Dropped pages are previous-period pages missing from the current export only after confirming identical filters, sufficient row limits, matching dimensions, and URL inspection. Otherwise mark them as needs_validation, not dropped_out.

Recommended Actions

Use the action as the first triage path only after checking indexation, canonical status, query loss, internal links, backlinks, seasonality, and business value:

Action	Use when
refresh/update content	The page still has demand and likely needs freshness, title, internal link, or section updates.
investigate query shift	Clicks fell while impressions held up, suggesting CTR, rank, SERP, or query mix changes.
consolidate/redirect	The page dropped out or the loss is severe enough that merging into a stronger URL may recover value faster.
prune	The page had very low prior demand and may not justify rewrite effort.

Cross-references

Use blog-google to collect Search Console exports when live credentials are available. Use blog-rewrite after decay detection when the recommended action is refresh/update content and the page is worth improving.

查看来源 ↗

文件元数据

name: blog-decay
description: Detect content decay from Google Search Console exports by comparing current and previous page performance, flagging quarter-over-quarter traffic drops, dropped pages, and refresh, consolidate, prune, or query-shift actions. Use when the user says "/blog decay", "content decay", "traffic drop", "QoQ decline", "GSC decay", or "refresh declining posts".
argument-hint: "<current-gsc.json> <previous-gsc.json> [threshold] [metric]"
user-invokable: true
license: MIT

查看原始文本

---
name: blog-decay
description: Detect content decay from Google Search Console exports by comparing current and previous page performance, flagging quarter-over-quarter traffic drops, dropped pages, and refresh, consolidate, prune, or query-shift actions. Use when the user says "/blog decay", "content decay", "traffic drop", "QoQ decline", "GSC decay", or "refresh declining posts".
argument-hint: "<current-gsc.json> <previous-gsc.json> [threshold] [metric]"
user-invokable: true
license: MIT
---

# Blog Decay

Use `/blog decay` to find pages whose Google Search Console performance has
declined quarter-over-quarter. The command compares a current-period export
against a previous-period export, flags pages with a 20% or larger decline by
default, and recommends the next content action.

## Default Offline Workflow

Run the local analyzer against two GSC page exports:

```bash
python3 scripts/content_decay.py current.json previous.json
```

Useful options:

```bash
python3 scripts/content_decay.py current.json previous.json --threshold 0.30
python3 scripts/content_decay.py current.json previous.json --metric impressions
python3 scripts/content_decay.py current.json previous.json --format markdown --output decay-report.md
```

The script accepts JSON lists of page rows with `page` or `url`, `clicks`, and
`impressions`. It also accepts the object shape returned by `blog-google` when
the rows are under a top-level `rows` key.

## Optional Live GSC Export

For live data, use `/blog google gsc` or the underlying `blog-google` command
to create each period export, then run the offline analyzer:

```bash
python3 skills/blog-google/scripts/run.py gsc_query --property sc-domain:example.com --dimensions page --start-date YYYY-MM-DD --end-date YYYY-MM-DD --json > gsc-current.json
python3 skills/blog-google/scripts/run.py gsc_query --property sc-domain:example.com --dimensions page --start-date YYYY-MM-DD --end-date YYYY-MM-DD --json > gsc-previous.json
python3 scripts/content_decay.py gsc-current.json gsc-previous.json --format markdown
```

Use adjacent periods of similar length for short-term checks. For seasonality,
also run a year-over-year comparison using the same date length, filters, search
type, device, country, and property. When possible, inspect up to 16 months of
GSC history before diagnosing a traffic drop.

## Decay Model

The default metric is `clicks`. Also review impressions, CTR, average position,
query and page pairs, device, country, and search appearance deltas before
choosing an action.

Severity:

| Decline | Severity |
| --- | --- |
| 20% to 39.9% | warning |
| 40% to 59.9% | high |
| 60% or more | critical |

Dropped pages are previous-period pages missing from the current export only
after confirming identical filters, sufficient row limits, matching dimensions,
and URL inspection. Otherwise mark them as `needs_validation`, not
`dropped_out`.

## Recommended Actions

Use the action as the first triage path only after checking indexation,
canonical status, query loss, internal links, backlinks, seasonality, and
business value:

| Action | Use when |
| --- | --- |
| refresh/update content | The page still has demand and likely needs freshness, title, internal link, or section updates. |
| investigate query shift | Clicks fell while impressions held up, suggesting CTR, rank, SERP, or query mix changes. |
| consolidate/redirect | The page dropped out or the loss is severe enough that merging into a stronger URL may recover value faster. |
| prune | The page had very low prior demand and may not justify rewrite effort. |

## Cross-references

Use `blog-google` to collect Search Console exports when live credentials are
available. Use `blog-rewrite` after decay detection when the recommended action
is refresh/update content and the page is worth improving.

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已记录技能来源

已记录技能指令路径，不代表本站运行测试、安全保证或兼容性认证。

安装前审查: 避免自动安装

许可证: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

打开完整审计

工具列表来自元数据，并非已测试的兼容性；Agent 提示词是建议的交接方式。

从一个小任务开始

1阅读来源，确认输入、预期输出、依赖和权限。
2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库: AgriciDaniel/claude-blog
许可证: MIT
版本: 1.0.0
最近 GitHub 推送: 2026年8月28日
目录更新于: 2026年9月2日
技能指令路径: brain/.raw/sources/claude-blog-skill/skills/blog-decay/SKILL.md @ 84f7abf05036

版本来自目录元数据，使用前请核实来源发布记录。

质量

77/100

强

信任

70/100

仅限沙盒

审计

81/100

需审查

打开完整审计查看评估报告

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
结果: —

复制不等于安装。安装数需有成功安装回报，不代表全面的质量保证。

Agent 接入

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号，让 Agent 无需抓取界面即可排序。

打开安装 API LLM 文本格式打开 Manifest 自动解析计划

更多详情

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  "endpoints": {
    "web": "https://www.openagentskill.com/skills/agricidaniel-blog-decay",
    "api": "https://www.openagentskill.com/api/agent/skills/agricidaniel-blog-decay",
    "audit": "https://www.openagentskill.com/skills/agricidaniel-blog-decay/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=agricidaniel-blog-decay&task=Use%20blog-decay%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20blog-decay%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20blog-decay%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/agricidaniel-blog-decay/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/agricidaniel-blog-decay"
  }
}

创作者工具

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Registry 收录

可认领

此列表来自公开来源，维护者认领获批前不会标记为官方。

创作者: AgriciDaniel
来源: AgriciDaniel/claude-blog
收录方: OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

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这条 Registry 收录列表归属于 AgriciDaniel，但尚未标记为官方。认领后可增加已验证所有者信号，使后续发布、安装和审计更新更值得信赖。

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在开发者评估仓库的位置展示规范页面、当前信任与审计信号，以及真实的 Agent 验证证据。

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/agricidaniel-blog-decay?metric=listed&label=Listed)](https://www.openagentskill.com/skills/agricidaniel-blog-decay?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/agricidaniel-blog-decay?metric=trust&label=Trust)](https://www.openagentskill.com/skills/agricidaniel-blog-decay?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/agricidaniel-blog-decay?metric=audit&label=Audit)](https://www.openagentskill.com/skills/agricidaniel-blog-decay/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/agricidaniel-blog-decay?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/agricidaniel-blog-decay?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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