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 Infrasity-Labs/dev-gtm-claude-skills --skill blog-repurposegit clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-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/infrasity-labs/dev-gtm-claude-skills/blog-repurpose)<a href="https://agentmods.dev/skills/infrasity-labs/dev-gtm-claude-skills/blog-repurpose"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/blog-repurpose/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/infrasity-labs/dev-gtm-claude-skills/blog-repurpose"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/blog-repurpose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00089 | $0.02149 |
| Opus 5 | $0.00044 | $0.01074 |
| Sonnet 5 | $0.00018 | $0.00430 |
| Haiku 4.5 | $0.00009 | $0.00215 |
Grade A, and why
blog-repurpose 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 9d 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 — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog Repurpose: Cross-Platform Content Adaptation
Transforms blog posts into platform-optimized content for social media, email, video, and community channels. Each output adapts tone, format, and length to match platform conventions and audience expectations.
FLOW dual-surface thinking (when applicable). When the original blog post targets a query that also surfaces in a community (Reddit thread, YouTube comment, LinkedIn discussion), repurpose for the community in a way that reinforces the blog. Cross-link both directions: the blog references the community discussion as social proof; the community post references the blog as the canonical long-form answer. This is FLOW surface 5 in action. See skills/blog/references/flow-alignment.md and /blog flow win for the dual-surface scorecard.
Workflow
Step 1: Read & Analyze
Read the blog post and extract the core content elements:
- Title - Original blog post title
- Key insights (5-7) - The most important takeaways, each as a standalone statement
- Statistics - All sourced data points with attribution
- Quotes - Any notable quotations or expert statements
- Main argument - The central thesis in 1-2 sentences
- TL;DR - A 2-3 sentence summary that delivers standalone value
- Target audience - Who the blog was written for
- Topic category - For subreddit and hashtag selection
Step 2: Ask User
Prompt the user to select which platforms to generate content for:
- Twitter/X thread
- LinkedIn article
- YouTube video script
- Reddit discussion post
- Email newsletter excerpt
- All of the above
If the user specifies a platform directly (e.g., "repurpose for Twitter"), skip this step and generate for that platform only.
Step 3: Twitter/X Thread
Generate a complete thread optimized for Twitter/X engagement:
Hook tweet (tweet 1):
- Open with a curiosity gap or bold statistic
- Must be under 280 characters
- Should make someone stop scrolling
- Pattern: "[Surprising stat or contrarian take]. Here's what [audience] needs to know:"
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.
- 9d ago First seen · 239 lines · 89 tokens per session scan A 2e10c69b3131
blog-repurpose is a skill published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It adds 89 tokens to every session and 2,149 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
geo-audit
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.
geo
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific…
geo-brand-mentions
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
geo-llmstxt
Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.
agent-readiness-scan
Use when a client audit, GEO/AI-visibility snapshot, or remediation re-scan needs the Cloudflare agent-readiness score from isitagentready.com — e.g. Theo client audits, "is the site agent-ready", markdown negotiation / MCP / llms.txt / Content-Signal checks, or tracking score deltas after Tier 0/1 fixes.
found-by-ai
Measure whether AI engines actually recommend a business when buyers ask. Runs the free live scan at areyoufoundbyai.com (no auth, 60s), reads the verdict and the rivals AI names instead, hands back the fix plan, and wires monitored sites into a fix-and-re-measure loop over MCP.