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 agentmods add commands/seite-sh/seite/researchgit clone --depth 1 https://github.com/seite-sh/seiteWhat 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 | $0.00000 | $0.01263 |
| Opus 5 | $0.00000 | $0.00632 |
| Sonnet 5 | $0.00000 | $0.00253 |
| Haiku 4.5 | $0.00000 | $0.00126 |
Grade A, and why
research 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 3d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Command
Use this command to conduct comprehensive SEO keyword research and competitive analysis before writing new content.
Usage
/research [topic]
What This Command Does
- Performs keyword research for static site generator and developer tool topics
- Analyzes top-ranking competitor content
- Identifies content gaps and opportunities
- Develops unique angle for seite perspective
- Creates detailed research brief for writing
Process
Keyword Research
- Primary Keyword: Identify main target keyword for the topic
- Search Volume & Difficulty: Research estimated monthly searches and competition level
- Keyword Variations: Find semantic variations and long-tail opportunities
- Related Questions: Discover what people are actually asking (People Also Ask, forums, Reddit)
- Search Intent: Determine if intent is informational, navigational, commercial, or transactional
- Topic Cluster: Identify how this topic fits into seite content clusters
Competitive Analysis
- Top 10 SERP Review: Analyze the top 10 ranking articles for target keyword
- Content Length: Note word count of top-performing articles (benchmark target)
- Common Themes: What topics/sections do all top articles cover?
- Content Gaps: What's missing from competitor coverage?
- Unique Angles: What perspectives or insights are underexplored?
- Featured Snippets: Identify if there's a featured snippet opportunity
- Domain Authority: Note which competitors rank (indie blogs vs. major publications)
Context Integration
- seite Advantage: How can seite product features naturally enhance this content?
- Brand Alignment: Check @context/brand-voice.md for messaging fit
- Existing Content: Review @context/internal-links-map.md for related seite articles
- Target Keywords: Cross-reference with @context/target-keywords.md priority list
- SEO Guidelines: Ensure research aligns with @context/seo-guidelines.md requirements
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.
- 3d ago First seen · 131 lines · 0 tokens per session scan A b32c8315783b
research is a command published in the GitHub repository seite-sh/seite (19 stars, last pushed 18d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,263 tokens. 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.
Other commands, from other repositories
fieldtheory
Explain and drive the Field Theory CLI — bookmark-sourced seeds, repo-aware possibility runs that score ideas onto a 2x2 grid, and the interconnected .md files they leave behind. Trigger when the user asks about ft, bookmarks, seeds, ft possible (or the older name ft ideas), grids, dots/nodes, or how to turn saved…
wiki-init
Initialize a new LLM Wiki in the current directory. Creates the full directory structure, config, and template files.
issue-amend
Re-snapshot the active issue's scope from the spec, clear verified and reviewed receipts, and record the change as a permanent amendment.
q-research
Read the research-mode skill's SKILL.md for the full ruleset before proceeding. Follow all constraints, the source lookup cascade, the token budget, and the "what counts as cited" rules exactly.
tree
Show file tree with sync status indicators showing which files are indexed, modified, new, or deleted.
demo-command
Example slash command that wraps the demo-skill. Showcases the command kind.