explore

An interactive discovery skill for Watt’s Signal Graph, a collection of audience-related signals. It asks one question at a time to explore what the graph contains about a type of person or market.

In plain words
What is it for?
Use it to investigate how many and how recent the signals are for a group, assess whether Watt can describe that group, and find related audience angles.
Why use it?
It helps determine whether the available audience data matches an idea before trying to build or target that audience.

Skill for Claude CodeCodex

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 skills/wattdata/plugin/explore
Any agent
npx skills add wattdata/plugin --skill explore
Clone the repo
git clone --depth 1 https://github.com/wattdata/plugin

Made for: Claude Code, Codex.

Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,183 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00122 $0.05183
Opus 5 $0.00061 $0.02592
Sonnet 5 $0.00024 $0.01037
Haiku 4.5 $0.00012 $0.00518

Measured yesterday against content hash 71b81bafebb2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

explore scanned grade C with 1 finding 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 yesterday.

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.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

- **Minors.** Watt's data is adults-only. If an idea is about kids/teens, pivot to parents/guardians of that age range and proceed — don't refuse pedantically.
skills/explore/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Explore Signal Graph

Purpose

Supported platform first. Watt runs in Claude Cowork, Claude Code, or the Claude Agent SDK — not the Claude Chat app, where only these skill files load and the rest of Watt — its hooks, context, scripts, and Signal Graph — does not. If the user isn't on a supported platform, tell them plainly to switch before continuing; otherwise this will not function correctly.

/watt:explore is the discovery surface — an interactive way to interrogate Signal Graph. The user brings a question or a plain-English idea about people ("folks planning corporate events", "is Watt any good for reaching home cooks?") and you help them find out what Watt actually holds for it: probe what Signal Graph has, ask one concrete question at a time, and let every answer steer the next probe.

Signal Graph is ~200k signals — there is no list to read; the only way to know its shape is to probe it, and that's what this surface is for. The questions it answers:

  • "What does Watt have on X?" — the signals behind an idea, how big and fresh.
  • "Is Watt good for Y?" — whether Signal Graph can express the people they mean.
  • "What else is there around N?" — adjacent territory they haven't thought to ask about.
  • "How could I reach / sharpen Z?" — which signals are strongest, what's thin, where to go deeper.

What the user learns is the value. A signal pool — signals they choose to keep — is a byproduct: if they're keeping signals, track them so they carry into /watt:audience, but the walk exists to answer their questions, not to assemble anything. Turning signals into actual people is downstream's job, never explore's.

One decision per turn. Each turn ends at one decision only the user can make — offered as the host's native clickable options, a typed answer always wins — and stops there. The user steers between turns; that steering is the walk.

Explore opens the space up. Its job is divergent — surface what's there, answer what they're asking, point at what's adjacent.

Read the full file on GitHub · 151 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. yesterday First seen · 151 lines · 122 tokens per session scan C 71b81bafebb2

Subscribe to this mod's changes

explore is a skill published in the GitHub repository wattdata/plugin (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 122 tokens to every session and 5,183 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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