Agent skill

Firecrawl Cost Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Measure and reduce Firecrawl credit consumption using explicit limits, endpoint selection, cache policy, format discipline, and spend controls.

MITAuto-check passedData & Analytics

Install Firecrawl Cost Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-cost-tuning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace firecrawl-cost-tuning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/firecrawl-cost-tuning .claude/skills/firecrawl-cost-tuning && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
firecrawl-cost-tuning
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
518 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Measure and reduce Firecrawl credit consumption using explicit limits, endpoint selection, cache policy, format discipline, and spend controls.

  • Works in 7 steps: Capture the current billing policy,… → Attribute usage to an owner,… → Set explicit crawl and batch bounds. Use… → …
  • Correcting Firecrawl spend
  • SKILL.md covers Overview, Prerequisites, Current Contract and Authentication, plus 7 more sections
  • Needs FIRECRAWL_API_KEY

What it does

Firecrawl Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Measure and reduce Firecrawl credit consumption using explicit limits, endpoint selection, cache policy, format discipline, and spend controls. Use when forecasting or correcting Firecrawl spend. Trigger with "Firecrawl costs", "reduce Firecrawl credits", or "Firecrawl budget".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Designed for Claude Code; Firecrawl Cloud work requires network access

It sits in Data & Analytics, covering Web scraping. It works with Firecrawl. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Correcting Firecrawl spend
  • With Firecrawl costs
  • Reduce Firecrawl credits
  • Firecrawl budget

Example prompts

  • “Firecrawl costs”
  • “reduce Firecrawl credits”
  • “Firecrawl budget”
  • “/firecrawl-cost-tuning”

Requirements

  • A credential in FIRECRAWL_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code; Firecrawl Cloud work requires network access
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Capture the current billing policy, plan, pay-as-you-go state, per-key spend limits, monthly cap, and a baseline by operation and workload…
  2. Attribute usage to an owner, environment, source policy, endpoint, requested formats, page counts, cache behavior, and success category…
  3. Set explicit crawl and batch bounds. Use map plus selective retrieval when discovery is cheaper than collecting every page.
  4. Request only required formats and expensive options. Validate whether JSON extraction, prompt-injection checks, PDF parsing, ZDR…
  5. Use maxAge and cache policy only when the freshness SLA permits it; use storeInCache false or ZDR when retention requirements outweigh…
  6. Add preflight budget checks, alert thresholds, per-key controls where available, and a fail-closed response when the approved ceiling is…
  7. Run a bounded canary, compare quality-adjusted cost with the baseline, and roll back if savings reduce completeness or violate policy.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • FIRECRAWL_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code; Firecrawl Cloud work requires network access

    From compatibility in the SKILL.md frontmatter.

Context cost

Firecrawl Cost Tuning loads about 1.1k tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 518 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 518 words, ~1,115 tokens.

Download SKILL.mdSave it as .claude/skills/firecrawl-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
firecrawl-cost-tuning
description
Measure and reduce Firecrawl credit consumption using explicit limits, endpoint selection, cache policy, format discipline, and spend controls. Use when forecasting or correcting Firecrawl spend. Trigger with "Firecrawl costs", "reduce Firecrawl credits", or "Firecrawl budget".
allowed-tools
Read, Glob, Grep, Write, Edit
compatibility
Designed for Claude Code; Firecrawl Cloud work requires network access
argument-hint
<repository-path> <budget-window>
version
1.12.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, firecrawl, cost, governance
model
inherit
effort
high

Firecrawl Credit and Spend Control

Overview

Optimize against measured business value rather than assumed one-credit requests. Endpoint and option costs differ, modifiers can stack, and crawl or batch charges arrive as pages complete.

Prerequisites

  • The target repository or integration path and the requested operator outcome.
  • The source authorization, data classification, and environment policy.
  • Current Firecrawl documentation, credentials only when needed, and an owner for approvals.

Current Contract

Use the current billing page and Credit Usage APIs as the pricing authority. Base scrape/crawl page costs, search/result charges, JSON or other format modifiers, ZDR, parse behavior, Interact minutes, and lockdown outcomes can differ. Polling status does not itself consume credits, while asynchronous page processing can make usage appear later.

Authentication

For authenticated Cloud operations, inject FIRECRAWL_API_KEY from an approved secret manager. REST requests use Authorization: Bearer with the key. Never print, commit, transmit, or place a key in a URL. Keyless access is suitable only where the current documentation explicitly allows it and the workload accepts its limits; production workflows should make identity and team ownership explicit.

Instructions

  1. Capture the current billing policy, plan, pay-as-you-go state, per-key spend limits, monthly cap, and a baseline by operation and workload class.
  2. Attribute usage to an owner, environment, source policy, endpoint, requested formats, page counts, cache behavior, and success category. Never estimate solely from request count.
  3. Set explicit crawl and batch bounds. Use map plus selective retrieval when discovery is cheaper than collecting every page.
  4. Request only required formats and expensive options. Validate whether JSON extraction, prompt-injection checks, PDF parsing, ZDR, audio/video, or browser interaction earns its added cost.
  5. Use maxAge and cache policy only when the freshness SLA permits it; use storeInCache false or ZDR when retention requirements outweigh savings.
  6. Add preflight budget checks, alert thresholds, per-key controls where available, and a fail-closed response when the approved ceiling is reached.
  7. Run a bounded canary, compare quality-adjusted cost with the baseline, and roll back if savings reduce completeness or violate policy.
Show full SKILL.md (185 more words)Show less

Tool Discipline

Use Read, Glob, and Grep to inspect code, configuration, tests, and evidence. Use Write/Edit only for approved implementation or documentation changes. Do not call Firecrawl, rotate keys, change account settings, scrape a target, or deploy merely because this skill was invoked.

Approval Boundaries

Require approval before enabling or raising pay-as-you-go, changing plan, increasing a per-key spend limit, trading retention for cache savings, or reducing required quality.

Output

Return the billing-policy snapshot, workload attribution, baseline and candidate cost, quality delta, chosen controls, alerts, canary evidence, projected range, and rollback threshold.

Error Handling

  • Usage lags async work: wait for job completion and billing settlement before declaring savings.
  • Current prices or limits cannot be verified: report a range and block irreversible plan decisions.
  • Budget is exhausted: stop new work; do not hide 402 responses with uncontrolled retries.

Examples

  • "Why did credits spike?" attributes usage by option and completed page rather than request count.
  • "Make this crawl cheaper" tests scope, cache, format, and map-first changes against quality.

Resources

Read official Firecrawl evidence before relying on an endpoint, SDK method, plan limit, price, retention option, or self-hosted release.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/firecrawl-cost-tuning of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Firecrawl Cost Tuning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Firecrawl Cost Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Firecrawl Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Firecrawl Scrapefirecrawl/skills117—~1.8kAutomated safety check: PassISC
Firecrawl Agentfirecrawl/skills117—~1.2kAutomated safety check: PassISC
Firecrawl Company Directoriesfirecrawl/skills117—~557Automated safety check: PassISC
Firecrawl Competitive Intelfirecrawl/skills117—~604Automated safety check: PassISC
Firecrawlzapier/connectors177—~4.2kAutomated safety check: PassElastic-2.0

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Works with

Questions about Firecrawl Cost Tuning

What does Firecrawl Cost Tuning do?

Measure and reduce Firecrawl credit consumption using explicit limits, endpoint selection, cache policy, format discipline, and spend controls. Firecrawl Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Measure and reduce Firecrawl credit consumption using explicit limits, endpoint selection, cache policy, format discipline, and spend controls.

When should I use Firecrawl Cost Tuning?

Firecrawl Cost Tuning fits situations like: correcting Firecrawl spend; with Firecrawl costs; reduce Firecrawl credits; firecrawl budget.

How do I install Firecrawl Cost Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/firecrawl-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/firecrawl-cost-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Firecrawl Cost Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/firecrawl-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/firecrawl-cost-tuning in your project. Codex loads it when a task matches its description.

Can I use Firecrawl Cost Tuning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-cost-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/firecrawl-cost-tuning, .gemini/skills/firecrawl-cost-tuning, .github/skills/firecrawl-cost-tuning and .opencode/skills/firecrawl-cost-tuning in your project.

What does Firecrawl Cost Tuning need to run?

Going by SKILL.md and its folder, Firecrawl Cost Tuning needs credentials named FIRECRAWL_API_KEY. Our summary lists: A credential in FIRECRAWL_API_KEY. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; Firecrawl Cloud work requires network access.

Does Firecrawl Cost Tuning access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Firecrawl Cost Tuning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Firecrawl Cost Tuning use?

Firecrawl Cost Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Firecrawl Cost Tuning use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 467 tokens, read only when the agent opens those files.

What are the alternatives to Firecrawl Cost Tuning?

Skills that share tags, products or a category with Firecrawl Cost Tuning: Firecrawl Scrape (firecrawl/skills, 117 stars), Firecrawl Agent (firecrawl/skills, 117 stars), Firecrawl Company Directories (firecrawl/skills, 117 stars) and Firecrawl Competitive Intel (firecrawl/skills, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Firecrawl Cost Tuning?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.