research-estimate

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Estimate cost of a research task before executing it. Gate expensive tasks with human approval.

Supernor By Supernor schedule Updated 3/26/2026

name: research-estimate description: Estimate cost of a research task before executing it. Gate expensive tasks with human approval. tags: [research, cost, estimate, gemini, approval, budget] version: 1.0.0

Research Estimate

Estimate the cost of a research request BEFORE executing it. If over threshold, present the human with choices instead of running it.

When to use

  • Before ANY research task that involves Gemini API calls
  • The research skill should call this first as a gate
  • Directly when asked "how much would it cost to research X?"

Cost Estimation Method

Step 1: Determine search path

  • Web searchweb-search skill (ops.db task). Free tier primary, paid Flash Lite failover. Cost: $0 or ~$0.001 per search.
  • Deep analysis → Gemini API direct call. Cost varies by model.

Step 2: Estimate output tokens

Based on research type:

  • Simple web search: ~$0 (free tier) or ~$0.001 (paid failover)
  • News summary (daily digest): ~$0.001
  • Deep research with citations: ~$0.005
  • Multi-source analysis: ~$0.01
  • Comprehensive report: ~$0.05+

Step 3: Calculate cost

Current pricing (update as pricing changes):

Web search via Gemini CLI (preferred)

  • Free tier: $0 (250/day limit, 10 RPM)
  • Paid failover (Flash Lite, thinking:low): ~$0.001 per search

Gemini Flash (API, for heavier tasks)

  • Input: $0.10 per 1M tokens
  • Output: $0.40 per 1M tokens

For scheduled/recurring tasks, multiply by frequency:

dailyCost = singleCost * 1
monthlyCost = singleCost * 30

Step 4: Gate decision

Under $0.05 per run: Execute immediately. Report cost in result.

$0.05 - $0.50 per run: Execute, but flag the cost prominently in the result.

Over $0.50 per run: DO NOT EXECUTE. Instead, send a cost approval request to the human via Captain/Relay with these choices:

Default approval view (user can customize):

Research: [topic summary]

            Pro          Flash
Per run:    $X.XX        $X.XX
Monthly:    $X.XX        $X.XX    (if scheduled daily)

[Run with Pro] — Full depth at $X.XX
[Run with Flash] — Faster, $X.XX
[Narrow scope] — Tell me what to cut
[Skip] — Don't run this

Always estimate BOTH models so the human can compare. The cost difference is the information — let them decide the tradeoff.

The threshold is $0.50 by default. Captain can override per-task. The view layout itself is a user preference — this is the default. Relay renders whatever format the human prefers.

After Execution: Report Actual Cost

Every research result must include:

Token usage: [input] in / [output] out / [thinking] think
Actual cost: $X.XXXX
Model used: [flash/pro]

Track cumulative spend in workspace MEMORY.md under "Gemini Token Spend Log".

Scheduled Task Cost Projection

For recurring research (like daily AI news):

  1. Run the first instance
  2. Record actual cost
  3. Project: daily, weekly, monthly
  4. If monthly projection > $5: flag to human with the projection and ask if frequency or scope should change

Example

Research request: "Daily AI news digest covering 4 providers"
Estimated: ~1,200 tokens in, ~2,000 tokens out, ~800 thinking
Per-run cost: $0.0005 (Flash)
Daily: $0.0005, Monthly: $0.015
Verdict: Under threshold. Execute immediately.
Research request: "Comprehensive competitive analysis of 10 AI coding tools"
Estimated: ~3,000 tokens in, ~10,000 tokens out, ~5,000 thinking (Pro needed)
Per-run cost: $0.06 (Pro)
Verdict: Over $0.05. Execute but flag cost.

Intent: Efficient [I06]. Purpose: [P-TBD].

Install via CLI
npx skills add https://github.com/Supernor/openclaw-skills --skill research-estimate
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