discover

discover is a command for Claude Code from adologyai/content-intelligence-plugin. It costs 15 tokens per session (998 once invoked), scanned A, original, Apache-2.0.

A command for finding brands and creators to track and adding them to a portfolio. It can search a brand directory or existing project data, depending on the request.

In plain words
What is it for?
It locates brands, creators, social profiles, and matching posts, then reports available channels and adds selected entities to a portfolio.
Why use it?
It removes the manual work of resolving names, finding account handles, and checking whether relevant data already exists.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

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

Good fit It locates brands, creators, social profiles, and matching posts, then reports available channels and adds selected entities to a portfolio.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/adologyai/content-intelligence-plugin/discover
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.

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 discover

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

Your own site · 80×15
<a href="https://agentmods.dev/commands/adologyai/content-intelligence-plugin/discover"><img src="https://agentmods.dev/badge/commands/adologyai/content-intelligence-plugin/discover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 998 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 $0.00015 $0.00998
Opus 5.5 $0.00006 $0.00399
Sonnet 5.5 $0.00003 $0.00200
Haiku 4.5 $0.00002 $0.00100

Measured 2mo ago against content hash 9e6095ceda0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

discover 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.

commands/discover.md · 48 lines

How it starts

The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When the user invokes /discover, follow this process:

1. Resolve names to real handles

Call lookup_brands({ query }). It searches Adology's central brand directory and returns, for each match, the category, website, domain, and whatever handles the directory holds — Instagram, TikTok, YouTube, X, LinkedIn, and the Ad Library page id — already normalized to the shape author_portfolio_context accepts. It is free, reads only, and adds nothing.

A directory entry may carry only one or two channels. That is the real state of the entry, not an error; report which channels exist rather than inventing the missing ones. If hasMore comes back true, the directory holds more matches than the page you asked for.

2. Find who is already doing the thing

When the ask is about content rather than company names — "who is running founder-led video", "which competitors talk about refill packs" — search the data instead of the directory. In a project that already has scope, search_all({ projectId, query }) runs a keyword search over item analysis text and returns the matching posts ranked by engagement, each with its brand and URL. For a meaning-based recall rather than keyword matching, use analyze({ projectId, query, mode: "semantic" }).

The brand names on those results are discovery leads in their own right: someone whose content keeps surfacing is a candidate to track. Feed the promising names back through lookup_brands to get their handles.

Creators work the same way. If a creator is not in the directory, ask the user for the handle and platform — that is enough to track them.

3. Present the candidates

Number the list so the user can answer with numbers. For each candidate give the name, the category, the channels that actually exist for it, and one line on why it matches the ask. Keep content examples in a separate short list, with the brand behind each one named.

4. Add what the user picks

Tracking happens on the portfolio, not on a project. Read the current state first with read_portfolio_context({ portfolioId }), then merge the new entries with author_portfolio_context({ portfolioId, upsertItems }). Each item needs an id, a kind (brand, influencer, search, discussion, trend-term, niche, seo), and its identifiers. A brand also needs a role — own for the user's own brand, competitor, adjacent, or inspiration for the rest — and a handles object keyed by platform (instagram, tiktok, facebook, youtube, adLibrary), or {} when the directory had none. kind is one bare token; role and every other attribute is its own field.

Read the full file on GitHub · 48 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. 2mo ago First seen · 48 lines · 15 tokens per session scan A 9e6095ceda0f

Subscribe to this mod's changes

discover is a command published in the GitHub repository adologyai/content-intelligence-plugin (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 998 once invoked, about $0.0001 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

discover compared with commands from other repositories

discover next to 6 commands from other repositories
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discoveradologyai/content-intelligence-pluginCommand21mo agoApache-2.0A15Claude Code
checklistgithub/spec-kitCommand148ktodayMITA13Claude Code
clarifygithub/spec-kitCommand148ktodayMITA27Claude Code
specifygithub/spec-kitCommand148ktodayMITA13Claude Code
convergegithub/spec-kitCommand148ktodayMITA35Claude Code
speckit.bug.testgithub/spec-kitCommand148ktodayMITA13Claude Code
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