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pricing-probe

pricing-probe is a skill for Claude Code from DataViking-Tech/Althing. It costs 40 tokens per session (1,244 once invoked), scanned A, original, MIT.

A pricing research tool that asks a selected audience how they think about a product’s price, problems, and alternatives. It uses an adaptive question path, so later questions depend on earlier answers.

In plain words
What is it for?
Use it to test pricing ideas with a target audience and see what influences their buying decisions. It can also show which topic each participant’s answers focused on.
Why use it?
It helps reveal whether people mainly care about the problem, the price, or competing options instead of forcing every participant through the same questions.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the althing plugin — 6 skills, 1 command shipped together

not rated 2repo 2d ago A scan 40 tokens original MIT

Good fit Use it to test pricing ideas with a target audience and see what influences their buying decisions. It can also show which topic each participant’s answers focused on.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dataviking-tech/althing/pricing-probe
View source ↗ DataViking-Tech/Althing dataviking-tech.github.io
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 DataViking-Tech/Althing --skill pricing-probe
Clone the repo
git clone --depth 1 https://github.com/DataViking-Tech/Althing

Made for: Claude Code.

Or install althing, the plugin that ships this one along with the rest of its 6 skills, 1 command.

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 pricing-probe

README.md
[![agentmods](https://agentmods.dev/badge/skills/dataviking-tech/althing/pricing-probe/github.svg)](https://agentmods.dev/skills/dataviking-tech/althing/pricing-probe)
Your own site
<a href="https://agentmods.dev/skills/dataviking-tech/althing/pricing-probe"><img src="https://agentmods.dev/badge/skills/dataviking-tech/althing/pricing-probe/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 pricing-probe

Your own site · 80×15
<a href="https://agentmods.dev/skills/dataviking-tech/althing/pricing-probe"><img src="https://agentmods.dev/badge/skills/dataviking-tech/althing/pricing-probe.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,244 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 $0.00040 $0.01244
Opus 5.5 $0.00016 $0.00498
Sonnet 5.5 $0.00008 $0.00249
Haiku 4.5 $0.00004 $0.00124

Measured 1mo ago against content hash 9f8a244b9515, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pricing-probe 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 1mo 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.

site/.well-known/agent-skills/pricing-probe/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are running a pricing sensitivity probe using the althing MCP tools and the bundled pricing-discovery v3 branching instrument.

What You Do

You help the user understand how a target audience reasons about price for a product or service. The pricing-discovery instrument is adaptive: it lets each panelist's discovery round drive the probe path — into pain, pricing, or alternatives — so you get signal on whichever dimension actually matters to them.

  1. Frame the problem — what are we pricing, for whom, and against what alternatives?
  2. Assemble a target-audience panel.
  3. Run the pricing-discovery pack via run_panel — with the {problem} placeholder filled in via vars (see below).
  4. Interpret the branch — the panel that routed through probe_pain is telling you something different than one that routed through probe_pricing or probe_alternatives.

Available MCP Tools

  • mcp__althing__run_panel — Primary tool. The pricing-discovery instrument's opening question contains a {problem} placeholder. Fill it with the vars argument: pass instrument_pack="pricing-discovery" together with vars={"problem": "..."}. (CLI equivalent: althing panel run --instrument pricing-discovery --var problem='...'.) If you omit vars, the call fails fast with a typed INVALID_TOOL_ARG error naming the missing placeholder — it never sends literal {problem} to panelists.
  • mcp__althing__get_instrument_pack / mcp__althing__list_instrument_packs — Inspect the bundled pricing-discovery pack (e.g. to see which placeholders it declares).
  • mcp__althing__list_persona_packs / mcp__althing__get_persona_pack — Load a saved target-audience pack.
  • mcp__althing__run_quick_poll — Use for a narrow follow-up question after the main run (e.g. "Would $X/month feel fair?").

Workflow

Step 1: Clarify the Pricing Context

Ask:

  • What problem does the product solve? (The pricing-discovery instrument substitutes this into its opening question.)
  • Who is it for? (shapes personas)
  • Are there competitors or alternatives? (panelists will volunteer these if real)
  • What price range is the user considering? (optional — don't reveal it to the panel until after discovery)

Read the full file on GitHub · 76 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. 1mo ago First seen · 76 lines · 40 tokens per session scan A 9f8a244b9515

Subscribe to this mod's changes

pricing-probe is a skill published in the GitHub repository DataViking-Tech/Althing (2 stars, last pushed 2d ago), licensed MIT. It adds 40 tokens to every session and 1,244 once invoked, about $0.0002 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.

Marketing and SEOPythonResearchllm-evaluationmcppersona-simulationsurvey-researchsynthetic-respondents
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