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 T4wroot/agentic-seo --skill research-sourcesgit clone --depth 1 https://github.com/T4wroot/agentic-seoWrote 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/t4wroot/agentic-seo/research-sources)<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/research-sources"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/research-sources/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/t4wroot/agentic-seo/research-sources"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/research-sources.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00073 | $0.00888 |
| Opus 5 | $0.00036 | $0.00444 |
| Sonnet 5 | $0.00015 | $0.00178 |
| Haiku 4.5 | $0.00007 | $0.00089 |
Grade A, and why
research-sources 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 7d 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.
This is a copy
100% identical to research-sources — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategies: Research Sources
Guides selecting and organizing information sources for marketing research: content ideation, competitor monitoring, and industry tracking. Use this skill when planning where to gather signals for content, competitive intelligence, or market trends.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Use Cases
| Use case | Purpose |
|---|---|
| Content ideation | Topic ideas, trends, gaps for blog, newsletter, social |
| Competitor monitoring | Product updates, positioning, pricing, reviews |
| Industry tracking | Market shifts, funding, layoffs, regulatory changes |
Source Categories
| Category | Format | Use |
|---|---|---|
| News | Real-time, daily | Breaking news, announcements |
| Blogs | Company, analyst | Deep dives, product updates |
| Newsletters | Curated, weekly/daily | Trends, summaries; low effort |
| Events | Conferences, webinars | Industry pulse, networking |
| Data | Layoffs, market cap, funding | Quantitative signals |
| Community | Forums, Q&A | Real questions, pain points |
| Archives | Wayback, Internet Archive | Historical content, competitor changes |
Selection criteria: Authority, freshness, coverage, language/locale. Prefer 10–15 high-quality sources over 50+ low-signal ones.
Example Sources (Generic)
| Category | Examples |
|---|---|
| News | TechCrunch, VentureBeat, MIT Technology Review |
| Blogs | Google AI Blog, OpenAI Blog, company blogs |
| Newsletters | TLDR AI, Ben's Bites, The Batch (DeepLearning.AI) |
| Data | Layoffs.fyi, Crunchbase, Companies Market Cap |
| Archives | Internet Archive, Wayback Machine |
| Community | Reddit, Quora, Stack Overflow; regional (e.g. Qiita for Japan) |
Note: Add locale-specific sources via localization-strategy; avoid long URL lists.
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.
- 7d ago First seen · 81 lines · 73 tokens per session scan A 72da654afeed
research-sources is a skill published in the GitHub repository T4wroot/agentic-seo (15 stars, last pushed 8d ago), licensed MIT. It adds 73 tokens to every session and 888 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to research-sources, differing in 0 lines, and is treated as a copy.
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