listicle

A method for finding company or product names mentioned in roundup articles, comparison posts, and lists of alternatives.

In plain words
What is it for?
Use it to collect distinct vendor or product names from search rows while excluding the market's anchor and generic category phrases.
Why use it?
It extracts names from search-result text without assuming that the other companies mentioned in an article were individually visited or verified.

Agent

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.

agentmods
npx agentmods add agents/mo-root/open-kb/listicle
Clone the repo
git clone --depth 1 https://github.com/mo-root/open-kb
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 228 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00228
Opus 5 $0.00000 $0.00114
Sonnet 5 $0.00000 $0.00046
Haiku 4.5 $0.00000 $0.00023

Measured 2d ago against content hash 5ae02855a5eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

listicle 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 2d 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.

prompts/agents/listicle.md · 23 lines

What it actually says

Below are rows this run's own searches already returned — a title and a description apiece — whose shape looks like a roundup: "10 best X", "X alternatives", "X vs Y", a comparison post. A roundup names several vendors in its own text, and this run's search phase only ever followed the one URL each row points at; every OTHER name a row mentions was bought and never read.

The anchor of this map is {{anchor}}. Do not list it.

Read each row's title and description and pull out every distinct company or product name they name — a real proper noun a buyer could type into a search box, not a category word ("logging tool"), not a generic phrase ("the top platforms"), and not {{anchor}} itself. A row that names no vendor contributes nothing to the answer; that is the normal case, not a failure, and most rows below will not have one.

Answer with vendors: the distinct names found, each written once, in the spelling the row itself uses.

The rows:

{{rows}}

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. 2d ago First seen · 23 lines · 0 tokens per session scan A 5ae02855a5eb

Subscribe to this mod's changes

listicle is an agent published in the GitHub repository mo-root/open-kb (11 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 228 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.

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