claude-blog is a Claude Code skill suite for planning, writing, optimizing, auditing, localizing, and refreshing blog content. It is for content and SEO workflows that produce articles and related publishing artifacts while checking drafts against defined delivery criteria. The catalogue entries provide the skills, agents, plugins, and instruction used by this workflow.
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 skills add AgriciDaniel/claude-blog --skill blog-cannibalizationgit clone --depth 1 https://github.com/AgriciDaniel/claude-blogWrote 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/agricidaniel/claude-blog/blog-cannibalization)<a href="https://agentmods.dev/skills/agricidaniel/claude-blog/blog-cannibalization"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-blog/blog-cannibalization/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/agricidaniel/claude-blog/blog-cannibalization"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-blog/blog-cannibalization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium Data Exfiltration · line 92 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 107 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00106 | $0.02026 |
| Opus 5 | $0.00053 | $0.01013 |
| Sonnet 5 | $0.00021 | $0.00405 |
| Haiku 4.5 | $0.00011 | $0.00203 |
Grade A, and why
blog-cannibalization 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 13d 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 — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog Cannibalization - Keyword Overlap Detection
Detect when multiple blog posts compete for the same search keywords. Two modes: local-only analysis (default) and DataForSEO API mode for SERP-level data.
Two Modes
| Mode | Flag | Cost | Data Source |
|---|---|---|---|
| Local | (default) | Free | File content analysis via Grep/Read |
| API | --api |
~$0.01/call | DataForSEO Page Intersection + Ranked Keywords |
Local mode works without any API keys. API mode requires DataForSEO credentials
set as environment variables: DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD.
Local Mode Workflow
Step 1: Scan Blog Files
Use Glob to find all content files in the target directory:
- Patterns:
**/*.md,**/*.mdx,**/*.html - Skip files in
node_modules/,.git/,drafts/
Step 2: Extract Primary Keywords
For each file, read and extract keyword signals from:
- Title tag or H1 heading (highest weight)
- H2 headings (medium weight)
- First paragraph (supporting signal)
- Meta description if present in frontmatter
Primary keyword extraction method:
- Tokenize title, H1, H2s, meta description, and first paragraph into 1-gram, 2-gram, and 3-gram phrases.
- Normalize deterministically: lowercase, remove locale-aware stop words, lemmatize or stem consistently, preserve product names, and keep intent modifiers such as "best", "pricing", "vs", "review", "template", and year.
- Score sections separately: title/H1 highest, meta description and H2s medium, first paragraph supporting.
- Select the top-scoring 2-3 word phrase as the primary keyword and record secondary keywords from H2 headings.
Step 3: Cluster by Similarity
Group posts into clusters using these matching rules (in priority order):
- Exact match - identical primary keyword across 2+ posts
- Stem match - same root word (e.g., "optimize" vs "optimization")
- Semantic overlap - Assign explicit intent labels such as informational, commercial, transactional, comparison, or troubleshooting. Include confidence and a one-sentence rationale, or use an embeddings workflow with a documented threshold.
- Subset match - one keyword contains another (e.g., "email marketing" vs "email marketing for startups")
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.
- 13d ago First seen · 224 lines · 106 tokens per session scan A f9b73ebc79dd
blog-cannibalization is a skill published in the GitHub repository AgriciDaniel/claude-blog (2,125 stars, last pushed yesterday), licensed MIT. It adds 106 tokens to every session and 2,026 once invoked, about $0.0005 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.
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