AWS Database
aws/agent-toolkit-for-aws
Routes any task involving AWS databases — choosing, comparing, recommending, getting started with, or operating a database — to the correct service-specific skill.
Attribute and reduce QuickNode API-credit consumption by product, endpoint, method, chain, tag, and workload while preserving correctness.
Install Quicknode Cost Tuning
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill quicknode-cost-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace quicknode-cost-tuning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/quicknode-cost-tuning .claude/skills/quicknode-cost-tuning && rm -rf skills-srcUse ~/.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/
Install the "quicknode-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/quicknode-cost-tuning into .claude/skills/quicknode-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quicknode-cost-tuning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/quicknode-cost-tuningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill quicknode-cost-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace quicknode-cost-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/quicknode-cost-tuning .agents/skills/quicknode-cost-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "quicknode-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/quicknode-cost-tuning into .agents/skills/quicknode-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quicknode-cost-tuning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill quicknode-cost-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace quicknode-cost-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/quicknode-cost-tuning .cursor/skills/quicknode-cost-tuning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "quicknode-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/quicknode-cost-tuning into .cursor/skills/quicknode-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quicknode-cost-tuning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/quicknode-cost-tuning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill quicknode-cost-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace quicknode-cost-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/quicknode-cost-tuning .gemini/skills/quicknode-cost-tuning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "quicknode-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/quicknode-cost-tuning into .gemini/skills/quicknode-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quicknode-cost-tuning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace quicknode-cost-tuningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill quicknode-cost-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/quicknode-cost-tuning .github/skills/quicknode-cost-tuning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "quicknode-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/quicknode-cost-tuning into .github/skills/quicknode-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quicknode-cost-tuning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill quicknode-cost-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace quicknode-cost-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/quicknode-cost-tuning .opencode/skills/quicknode-cost-tuning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "quicknode-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/quicknode-cost-tuning into .opencode/skills/quicknode-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quicknode-cost-tuning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
quicknode-cost-tuning- GitHub stars
- 2.8k
- Token cost
- ~1k tokens
- SKILL.md length
- 408 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Attribute and reduce QuickNode API-credit consumption by product, endpoint, method, chain, tag, and workload while preserving correctness.
- Works in 6 steps: Define the denominator → Retrieve usage → Attribute value → …
- Forecasting a billing cycle
- SKILL.md covers Overview, Prerequisites, Instructions and Tool Discipline, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Quicknode Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Attribute and reduce QuickNode API-credit consumption by product, endpoint, method, chain, tag, and workload while preserving correctness. Use when forecasting a billing cycle, investigating an overage, or evaluating a caching or data-access change. Trigger with: "reduce QuickNode cost", "analyze QuickNode credits", "find expensive RPC methods".
Its SKILL.md is about 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: Credit formulas, product inclusion, and prices are plan-specific and must be read from current account data
It sits in Backend & APIs, covering Forecasting and time series and Caching. 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
- Forecasting a billing cycle
- Investigating an overage
- Evaluating a caching
- Data-access change
Example prompts
- “reduce QuickNode cost”
- “analyze QuickNode credits”
- “find expensive RPC methods”
- “/quicknode-cost-tuning”
Requirements
- Compatibility (from SKILL.md): Credit formulas, product inclusion, and prices are plan-specific and must be read from current account data
- Pre-approved tools (allowed-tools): Read, Grep, Write, Edit, Bash(qn:*)
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 80f86df. 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:
ReadGrepWriteEditBash(qn:*)
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
Links to these hosts (documentation or services it may open):
quicknode.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Credit formulas, product inclusion, and prices are plan-specific and must be read from current account data
From compatibility in the SKILL.md frontmatter.
Context cost
Quicknode Cost Tuning loads about 1k tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 92 tokens; SKILL.md has 408 words of instructions outside code blocks.
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 80f86df, republished under its MIT licence (© jeremylongshore). 408 words, ~1,001 tokens.
Download SKILL.mdSave it as
.claude/skills/quicknode-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- quicknode-cost-tuning
- description
- Attribute and reduce QuickNode API-credit consumption by product, endpoint, method, chain, tag, and workload while preserving correctness. Use when forecasting a billing cycle, investigating an overage, or evaluating a caching or data-access change. Trigger with: "reduce QuickNode cost", "analyze QuickNode credits", "find expensive RPC methods".
- allowed-tools
- Read, Grep, Write, Edit, Bash(qn:*)
- compatibility
- Credit formulas, product inclusion, and prices are plan-specific and must be read from current account data
- version
- 2.0.0
- argument-hint
- [billing-window-and-workload]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, quicknode, cost, api-credits, finops
QuickNode Credit and Cost Control
Overview
Optimize measured API credits, not a guessed requests-per-dollar formula. Account billing periods and endpoint rolling metrics answer different questions, and Streams, Webhooks, SQL, and endpoints can have different consumption models.
Prerequisites
- Billing window, plan, budget, and workload owner
- Access to Usage & Billing or authorized usage reads
- Product, endpoint, method, chain, and environment tags
Instructions
Step 1: Define the denominator
Use Read and Grep to identify workloads, schedules, duplicate callers, cache policy, backfills, and high-cardinality queries. State whether the decision concerns the billing cycle or a rolling performance window.
Step 2: Retrieve usage
Use Bash(qn:*) for authenticated usage and billing reads. Break consumption down by product and, where supported, endpoint, method, chain, or tag. Do not print invoices or account details into public logs.
Step 3: Attribute value
Map each large credit consumer to a product outcome and owner. Separate necessary live reads, historical backfills, retries, failed calls, polling, and abandoned experiments.
Step 4: Choose a safe lever
Use Write or Edit to cache immutable results, replace polling with an event product when justified, bound historical ranges, use pagination and selective fields, or schedule backfills. Never trade correctness for a lower request count silently.
Step 5: Model the change
Apply the account's current credit and pricing facts to measured volumes. Include plan limits, add-ons, flat-rate endpoints, and private terms only when verified; do not publish confidential pricing.
Show full SKILL.md (176 more words)Show less
Step 6: Verify one billing interval
Compare expected and actual credits, errors, latency, freshness, and business completeness. Alert on both budget burn and missing work so a broken integration cannot look “cheap.”
Tool Discipline
Use Read and Grep for demand discovery, Bash(qn:*) for read-only account usage, and Write/Edit for controlled optimizations. Plan changes, endpoint pauses, and add-on changes require an owner checkpoint.
Output
- Credit attribution by product and owner
- Verified plan and billing assumptions
- One correctness-preserving optimization
- Forecast, acceptance metric, and rollback threshold
Examples
A nightly job repeatedly scans the same historical range. It persists a verified cursor and bounded overlap, reducing credits while retaining reorg reconciliation.
Error Handling
| Failure | Response |
|---|---|
| Usage cannot be segmented | Add endpoint tags or application attribution before optimizing |
| Credit estimate differs from bill | Reconcile billing window, product, add-ons, and private terms |
| Cache returns stale mutable data | Narrow cache scope to immutable or final data |
| Spend drops with missing events | Roll back and restore completeness before further tuning |
Resources
© 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/quicknode-cost-tuning of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit 80f86df
Compare with similar skills
Quicknode 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Quicknode Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1k | Automated safety check: Pass | MIT | |
| AWS Databaseaws/agent-toolkit-for-aws | 2.8k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Data Collectionbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~975 | Automated safety check: Pass | Custom licence | |
| Time Series Analytics Useropen-edge-platform/edge-ai-libraries | 169 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Kagi MonitoringMicrock/kagi-cli | 179 | — | ~690 | Automated safety check: Pass | MIT | |
| Weatherkitdpearson2699/swift-ios-skills | 1.2k | — | ~3.5k | Automated safety check: Pass | Custom licence |
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Questions about Quicknode Cost Tuning
What does Quicknode Cost Tuning do?
Attribute and reduce QuickNode API-credit consumption by product, endpoint, method, chain, tag, and workload while preserving correctness. Quicknode Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Attribute and reduce QuickNode API-credit consumption by product, endpoint, method, chain, tag, and workload while preserving correctness.
When should I use Quicknode Cost Tuning?
Quicknode Cost Tuning fits situations like: forecasting a billing cycle; investigating an overage; evaluating a caching; data-access change.
How do I install Quicknode Cost Tuning in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill quicknode-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/quicknode-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/quicknode-cost-tuning in your project. Claude Code loads it when a task matches its description.
How do I install Quicknode Cost Tuning in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill quicknode-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/quicknode-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/quicknode-cost-tuning in your project. Codex loads it when a task matches its description.
Can I use Quicknode 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 quicknode-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/quicknode-cost-tuning, .gemini/skills/quicknode-cost-tuning, .github/skills/quicknode-cost-tuning and .opencode/skills/quicknode-cost-tuning in your project.
What does Quicknode Cost Tuning need to run?
SKILL.md names no scripts, command-line tools or credentials: Quicknode Cost Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit, Bash(qn:*). Compatibility (from SKILL.md): Credit formulas, product inclusion, and prices are plan-specific and must be read from current account data.
Does Quicknode Cost Tuning access the network?
SKILL.md names 1 domain. As links in the text: quicknode.com. This is read from the text; nothing was executed.
Is Quicknode 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 Quicknode Cost Tuning use?
Quicknode 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 Quicknode Cost Tuning use?
About 1k tokens (SKILL.md is roughly 4k 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 157 tokens, read only when the agent opens those files.
What are the alternatives to Quicknode Cost Tuning?
Skills that share tags, products or a category with Quicknode Cost Tuning: AWS Database (aws/agent-toolkit-for-aws, 2.8k stars), Data Collection (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Time Series Analytics User (open-edge-platform/edge-ai-libraries, 169 stars) and Kagi Monitoring (Microck/kagi-cli, 179 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Quicknode Cost Tuning?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,825 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 9, 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.