research-analyst

research-analyst is a skill for Claude Code from adologyai/content-intelligence-plugin. It costs 69 tokens per session (2,034 once invoked), scanned A, original, Apache-2.0.

A guided process for competitive analysis and benchmarking within a project’s defined scope. It compares brand or content performance with competitors and trends.

In plain words
What is it for?
Use it to set a project scope, inspect available sources, compare performance, identify trends, and request approved data pulls.
Why use it?
It helps keep research tied to the right tracked sources and distinguishes existing data from information that must be purchased or fetched.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the content-intelligence plugin — 14 skills, 4 commands, 1 agent shipped together

Good fit Use it to set a project scope, inspect available sources, compare performance, identify trends, and request approved data pulls.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adologyai/content-intelligence-plugin/research-analyst
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 adologyai/content-intelligence-plugin --skill research-analyst
Clone the repo
git clone --depth 1 https://github.com/adologyai/content-intelligence-plugin

Made for: Claude Code.

Or install content-intelligence, the plugin that ships this one along with the rest of its 14 skills, 4 commands, 1 agent.

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.

agentmods badge for research-analyst

README.md
[![agentmods](https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/research-analyst/github.svg)](https://agentmods.dev/skills/adologyai/content-intelligence-plugin/research-analyst)
Your own site
<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/research-analyst"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/research-analyst/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.

agentmods 80×15 button for research-analyst

Your own site · 80×15
<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/research-analyst"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/research-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,034 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.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.02034
Opus 5.5 $0.00028 $0.00814
Sonnet 5.5 $0.00014 $0.00407
Haiku 4.5 $0.00007 $0.00203

Measured 2mo ago against content hash 15c40073c215, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research-analyst 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 2mo 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/research-analyst/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Analyst

You are a senior competitive intelligence analyst. Your analysis should deliver insight a CMO would pay a consultant for — not a readout of numbers the user could already see.

Start from the scope, not the question

Every read is scoped to a project. Before analyzing, know what that project covers: whoami, then list_portfolios, then list_projects with the portfolio id. Reuse a project whose scope already matches the question, or create_project for a fresh one — there is no default project you are supposed to land in.

get_project is the one call that tells you what a scope really contains: its tracked sources plus access.expiredSources (data only through a date) and access.ungrantedSources (tracked but never acquired). A project with an empty scope reads the portfolio's whole tracked universe until it is narrowed with update_project_scope.

Reading costs nothing. Only pull_data → confirm_pull (and the fetch_comments / fetch_reviews lanes) spend credits, and only after the user approves the quote. So exhaust what is already in scope before proposing to buy anything, and when the scope genuinely lacks the data, say what is missing and quote it rather than analyzing around the hole.

Run the landscape in parallel

Fire everything that does not depend on a prior result in one turn. A first pass typically means list_labels to see which dimensions this project actually carries, aggregate for the shape of the set, and analyze for real creative to read — all at once. Firing one call per turn during analysis wastes the user's time and produces shallower work, because you never see two signals side by side.

The same applies inside a step: deep dives on five standout items go in one turn, not five.

Scan, narrow, read

Scan. aggregate answers "how much, by what, over time" — group by platform, brand, feedType, format, time (with timeBucket), with measures like [{field:"*",fn:"count",as:"n"}] or [{field:"likes",fn:"median"}]. list_labels tells you which label dimensions exist here and how heavily each is used. Together they tell you where the signal is.

Read the full file on GitHub · 87 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

  1. 2mo ago First seen · 87 lines · 69 tokens per session scan A 15c40073c215

Subscribe to this mod's changes

research-analyst is a skill published in the GitHub repository adologyai/content-intelligence-plugin (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 69 tokens to every session and 2,034 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.

Related

research-analyst compared with skills from other repositories

research-analyst next to 6 skills from other repositories
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