What is phase-research?

A research-only workflow for studying a search topic before writing. It examines keywords, search-result pages, competing pages, missing content, and questions people ask; SERP means a search engine results page.

Use it to research a keyword, analyze search results, compare competitors, find content gaps, and identify target audiences or search intents.

It provides structured research without starting the article-writing process, helping you understand what already ranks and what may be missing.

phase-research — Skill for Claude Code by XuanRanL

Install

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.

Any agent

npx skills add XuanRanL/loamwright-SEO-Skill --skill phase-research

Clone the repo

git clone --depth 1 https://github.com/XuanRanL/loamwright-SEO-Skill

Made for: Claude Code.

Or install xuanran-seo-blog-writer, the plugin that ships this one along with the rest of its 68 skills, 34 agents, 4 hooks.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/xuanranl/loamwright-seo-skill/phase-research/github.svg)](https://agentmods.dev/skills/xuanranl/loamwright-seo-skill/phase-research)

Your own site

<a href="https://agentmods.dev/skills/xuanranl/loamwright-seo-skill/phase-research"><img src="https://agentmods.dev/badge/skills/xuanranl/loamwright-seo-skill/phase-research/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/xuanranl/loamwright-seo-skill/phase-research"><img src="https://agentmods.dev/badge/skills/xuanranl/loamwright-seo-skill/phase-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,495 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00068	$0.01495
Opus 5	$0.00034	$0.00747
Sonnet 5	$0.00014	$0.00299
Haiku 4.5	$0.00007	$0.00150

Measured 10d ago against content hash f376915cd1ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

phase-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 10d 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.

skills/phase-research/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Phase Research Orchestrator

Run 6 research sub-skills in sequence, accumulate findings into research.json. Stage 6 (community-research) is ALWAYS-ON.

Inputs

state.json with state.brief.primary_keyword required
Optional state.project_slug for project-aware research (cache reuse, competitor exclusion)

Stages

1. keyword-research        →  Tavily + Crossref + AI-search probe
                              + SerpApi autocomplete + related_questions (true PAA)
                              Output: primary keyword expansion + LSI + intent + PAA

2. serp-analysis           →  13 SERP features detection (Google + Bing + AIO)
                              SerpApi = REAL organic positions + featured snippet +
                              People-Also-Ask + AI Overview (structured, not generic search)
                              Output: serp_features[], top-10 URLs

3. competitor-analysis     →  top-5 competitor deep extract (5-tier waterfall)
                              Output: competitor_titles[] with content_gap

4. content-gap-analysis    →  5 frameworks: SEO/AI/FAQ/Format/Authority gaps
                              Output: content_gaps[] with opportunity_score

5. surface-targeting       →  User selects 1-5 surfaces (owned/serp/aio/chatgpt/pplx/claude/gemini/reddit/youtube)
                              Output: brief.target_surfaces[] updated

6. community-research      →  ALWAYS-ON Reddit + X pass (cost ≈ 0 via the Tavily pool).
                              Real executor (Rule 6 — not pseudo-code):
                                python -m scripts.research.community_research_runner \
                                  --topic "{primary_keyword}" --task-id {task_id} --sources reddit,x --json
                              Splits signal vs claim; multi-dimensionally verifies claims.
                              Output: research.json :: community_insights (signals + verified claims).
                              IRON RULE: community URLs never cited — a verified claim cites the
                              authoritative corroborating source, never the reddit.com/x.com URL.
                              Per-project subreddits/handles + on/off default in
                              business-context.json :: community_research (degrades gracefully if absent).

Read the full file on GitHub · 123 lines

Changes

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.

10d ago First seen · 123 lines · 68 tokens per session scan A f376915cd1ad

Subscribe to this mod's changes

phase-research is a skill published in the GitHub repository XuanRanL/loamwright-SEO-Skill (47 stars, last pushed 23d ago), licensed Apache-2.0. It adds 68 tokens to every session and 1,495 once invoked, about $0.0003 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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