adapto-content-research

adapto-content-research is a skill for Claude Code from adaptocms/adapto-cms-agent-skills. It costs 65 tokens per session (1,321 once invoked), scanned A, original, MIT.

A research skill for finding content opportunities using the project's background information, websites, competitors, and search data. It produces a dated research dossier, or organised research file, without changing the content management system.

In plain words
What is it for?
Use it to research content ideas, competitor topics, website opportunities, and search keywords before creating a content plan.
Why use it?
It helps decide what is worth writing before planning or drafting content. It keeps research grounded in the project and records what has already been investigated.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Autonomous-safe** ([studio.md](../../shared/studio.md) §4): local, no CMS writes — an autonomous cycle can.

Part of the adapto plugin — 16 skills, 3 agents, 1 hook shipped together

Good fit Use it to research content ideas, competitor topics, website opportunities, and search keywords before creating a content plan.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/adaptocms/adapto-cms-agent-skills
agentmods
npx agentmods add skills/adaptocms/adapto-cms-agent-skills/adapto-content-research

Made for: Claude Code.

Or install adapto, the plugin that ships this one along with the rest of its 16 skills, 3 agents, 1 hook.

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 adapto-content-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/adaptocms/adapto-cms-agent-skills/adapto-content-research/github.svg)](https://agentmods.dev/skills/adaptocms/adapto-cms-agent-skills/adapto-content-research)
Your own site
<a href="https://agentmods.dev/skills/adaptocms/adapto-cms-agent-skills/adapto-content-research"><img src="https://agentmods.dev/badge/skills/adaptocms/adapto-cms-agent-skills/adapto-content-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.

agentmods 80×15 button for adapto-content-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/adaptocms/adapto-cms-agent-skills/adapto-content-research"><img src="https://agentmods.dev/badge/skills/adaptocms/adapto-cms-agent-skills/adapto-content-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,321 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 $0.00065 $0.01321
Opus 5 $0.00032 $0.00660
Sonnet 5 $0.00013 $0.00264
Haiku 4.5 $0.00006 $0.00132

Measured 12d ago against content hash cd2272e80311, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

adapto-content-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 12d 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.

plugin/skills/adapto-content-research/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

adapto:content-research

The first step of the content pipeline (content-pipeline.md). It researches what's worth writing — grounded in the project brain — and produces a dated research dossier the planning step turns into a content slate. It fans out adapto-researcher subagents across angles, proactively pulls in your own data, and reads the ledger so it never re-researches covered ground. No CMS writes — safe and re-runnable.

Autonomous-safe (studio.md §4): local, no CMS writes — an autonomous cycle can run this unattended; the cycle parks at the human gate before adapto:content-upload.

When to use

  • "Research content ideas", "what should we write about", "do content research", "look at competitor X".
  • Start of a content cycle, after the brain exists (adapto:project-define).

When not to use

  • Turning research into a plan/slate → adapto:content-plan.
  • Writing drafts → adapto:content-create.
  • Consolidating learnings into the brain → adapto:project-learn.

Inputs

  • The brain (.adapto/project/: identity, audience, pillars, seo, competitors, inventory).
  • Your data, proactively requested — ask up front: "drop any Search Console exports, keyword lists, or analytics into .adapto/sources/ and I'll treat them as ground truth." (conventions.md §16)
  • URLs you provide — competitor pages or interesting web content to factor in.
  • The ledger (.adapto/ledger.json) — to skip already-covered/planned topics.
  • Optional: a connected SEO-data MCP (used automatically if present; never required).

Outputs

  • A dated dossier .adapto/research/<YYYY-MM-DD>-<topic>.md: findings by angle (cited), a keyword/intent map, competitor gaps, and a menu of content opportunities for planning.
  • Additive enrichment of seo.md / competitors.md / inventory.md (append new findings — never rewrite; deliberate consolidation is adapto:project-learn's job) and a dated learnings.md entry.
  • Next step: adapto:content-plan — turn the dossier into a cycle slate of briefs.

Read the full file on GitHub · 82 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.

  1. 12d ago First seen · 82 lines · 65 tokens per session scan A cd2272e80311

Subscribe to this mod's changes

adapto-content-research is a skill published in the GitHub repository adaptocms/adapto-cms-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 1,321 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 2026-08-31.

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