Govern Alchemy compute usage and spend with current account evidence, workload attribution, budgets, and reversible optimizations.

MITAuto-check passedData & Analytics

Install Alchemy Cost Tuning

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace alchemy-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/alchemy-cost-tuning .claude/skills/alchemy-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
alchemy-cost-tuning
GitHub stars
2.8k
Token cost
~1.2k tokens
SKILL.md length
523 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Govern Alchemy compute usage and spend with current account evidence, workload attribution, budgets, and reversible optimizations.

  • Works in 6 steps: Record the account, billing window,… → Attribute observed usage by application,… → Reconcile observed compute units and… → …
  • Reducing Alchemy cost
  • SKILL.md covers Overview, Prerequisites, Current Contract and Authentication, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Alchemy Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Govern Alchemy compute usage and spend with current account evidence, workload attribution, budgets, and reversible optimizations. Use when forecasting or reducing Alchemy cost. Trigger with "Alchemy cost", "Alchemy compute units", or "reduce Alchemy spend".

Its SKILL.md is about 1.2k 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; live Alchemy access requires network access, an appropriate credential, account capacity, and explicit approval

It sits in Data & Analytics, covering Forecasting and time series. 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

  • Reducing Alchemy cost
  • With Alchemy cost
  • Alchemy compute units
  • Reduce Alchemy spend

Example prompts

  • “Alchemy cost”
  • “Alchemy compute units”
  • “reduce Alchemy spend”
  • “/alchemy-cost-tuning”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code; live Alchemy access requires network access, an appropriate credential, account capacity, and explicit approval
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit

Workflow steps

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

  1. Record the account, billing window, plan, approved budget, elastic-demand state, currency, owner, and dated source evidence.
  2. Attribute observed usage by application, environment, method family, chain, traffic class, and release using the authorized dashboard or…
  3. Reconcile observed compute units and charges to the current contract; label estimates and unattributed usage explicitly.
  4. Rank optimizations by correctness risk: remove duplicate calls, cache immutable data, bound pages, batch where documented, schedule…
  5. Forecast base, burst, and failure/retry scenarios with ranges rather than a false point estimate; set budget alerts and an approved…
  6. Canary one change, compare cost and SLO deltas, preserve completeness, and roll back if savings depend on hidden errors or stale data.

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 no API keys, tokens, secrets or passwords.

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

  • Compatibility

    Designed for Claude Code; live Alchemy access requires network access, an appropriate credential, account capacity, and explicit approval

    From compatibility in the SKILL.md frontmatter.

Context cost

Alchemy Cost Tuning loads about 1.2k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 523 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

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). 523 words, ~1,208 tokens.

Download SKILL.mdSave it as .claude/skills/alchemy-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
alchemy-cost-tuning
description
Govern Alchemy compute usage and spend with current account evidence, workload attribution, budgets, and reversible optimizations. Use when forecasting or reducing Alchemy cost. Trigger with "Alchemy cost", "Alchemy compute units", or "reduce Alchemy spend".
allowed-tools
Read, Glob, Grep, Write, Edit
compatibility
Designed for Claude Code; live Alchemy access requires network access, an appropriate credential, account capacity, and explicit approval
argument-hint
<account> <billing-window> <budget>
version
2.0.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, alchemy, cost, governance
model
inherit
effort
high

Alchemy Usage and Cost Governance

Overview

Govern Alchemy compute usage and spend with current account evidence, workload attribution, budgets, and reversible optimizations. This workflow produces a reviewable artifact and negative-path evidence before any live side effect.

Prerequisites

  • Current first-party Alchemy documentation for the selected product, chain, feature, client, authentication method, limit, and lifecycle.
  • Named product, application, security, data/privacy, budget, release, and operations owners appropriate to the requested scope.
  • Synthetic or approved non-production fixtures, a credential canary, explicit success criteria, and a tested rollback boundary.

Current Contract

Alchemy pricing plans, included capacity, compute-unit costs, and elastic-demand terms are mutable. Cost decisions use the current account contract, current method-cost documentation, and observed usage—not embedded plan tables. Admin usage access requires an authorized Admin access key or dashboard owner.

Authentication

Treat billing, application attribution, and usage data as restricted operational data. Keep Admin access keys separate from application keys and never place usage exports or credentials in public repositories.

Instructions

  1. Record the account, billing window, plan, approved budget, elastic-demand state, currency, owner, and dated source evidence.
  2. Attribute observed usage by application, environment, method family, chain, traffic class, and release using the authorized dashboard or Admin usage interface.
  3. Reconcile observed compute units and charges to the current contract; label estimates and unattributed usage explicitly.
  4. Rank optimizations by correctness risk: remove duplicate calls, cache immutable data, bound pages, batch where documented, schedule background work, and reserve capacity for critical traffic.
  5. Forecast base, burst, and failure/retry scenarios with ranges rather than a false point estimate; set budget alerts and an approved response owner.
  6. Canary one change, compare cost and SLO deltas, preserve completeness, and roll back if savings depend on hidden errors or stale data.

Tool Discipline

Use Read, Glob, and Grep to inspect current documentation, configuration, code, fixtures, and evidence. Use Write and Edit only for approved repository artifacts. Skill invocation alone does not authorize network access, credentials, wallet addresses, customer data, plan changes, spend, key creation or rotation, webhook changes, deployment, replay, transaction construction, signing, broadcast, or deletion.

Show full SKILL.md (183 more words)Show less

Approval Boundaries

Finance/budget owner approves plan, capacity, and elastic spend. Product approves freshness or degraded-mode tradeoffs. Security approves Admin API credential use.

Error Handling

  • Do not quote remembered plan allowances or method costs as current facts.
  • Do not reduce cost by hiding partial errors, skipping pagination, or silently serving stale data.
  • If usage cannot be attributed, surface the gap before recommending a plan change.

Output

Return the dated account contract, usage attribution, reconciliation, forecast ranges, optimization register, budget alerts, canary evidence, SLO impact, and approval/rollback decision. Mark assumptions, observations, source dates, environment-specific behavior, owners, and unresolved gaps explicitly.

Examples

  • Attribute a backfill spike to its application and method family, then schedule and cap it without consuming the critical-read reserve.
  • Reject a cache proposal whose apparent savings come from labeling partial Portfolio results complete.

Validation

Exercise and record expected and observed results for:

  • unattributed usage
  • changed method cost
  • burst forecast
  • retry amplification
  • budget threshold
  • optimization rollback

Resources

  • Current first-party evidence map — recheck dated Alchemy sources before execution.
  • Treat observed account, application, network, indexer, chain, or provider behavior as environment-specific evidence, never a universal guarantee.

© 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/alchemy-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

Alchemy 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.

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StatsmodelszLanqing/codex-claude-academic-skills4.7k15 repos~4.9kAutomated safety check: PassBSD-3-Clause
Timesfm ForecastingzLanqing/codex-claude-academic-skills4.7k3 repos~7.5kAutomated safety check: NotesApache-2.0
Find Hypertable Candidatestimescale/pg-aiguide1.9k1 repos~2.6kAutomated safety check: PassApache-2.0
Pensieve Searcharkohut/pensieve1.4k—~8.2kAutomated safety check: PassApache-2.0

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Questions about Alchemy Cost Tuning

What does Alchemy Cost Tuning do?

Govern Alchemy compute usage and spend with current account evidence, workload attribution, budgets, and reversible optimizations. Alchemy Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Govern Alchemy compute usage and spend with current account evidence, workload attribution, budgets, and reversible optimizations.

When should I use Alchemy Cost Tuning?

Alchemy Cost Tuning fits situations like: reducing Alchemy cost; with Alchemy cost; alchemy compute units; reduce Alchemy spend.

How do I install Alchemy Cost Tuning in Claude Code?

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

How do I install Alchemy Cost Tuning in Codex?

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

Can I use Alchemy 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 alchemy-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/alchemy-cost-tuning, .gemini/skills/alchemy-cost-tuning, .github/skills/alchemy-cost-tuning and .opencode/skills/alchemy-cost-tuning in your project.

What does Alchemy Cost Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Alchemy Cost Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; live Alchemy access requires network access, an appropriate credential, account capacity, and explicit approval.

Does Alchemy 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 Alchemy 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 Alchemy Cost Tuning use?

Alchemy 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 Alchemy Cost Tuning use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 791 tokens, read only when the agent opens those files.

What are the alternatives to Alchemy Cost Tuning?

Skills that share tags, products or a category with Alchemy Cost Tuning: TimesFM Forecasting (google-research/timesfm, 34k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars), Timesfm Forecasting (zLanqing/codex-claude-academic-skills, 4.7k stars) and Find Hypertable Candidates (timescale/pg-aiguide, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Alchemy 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.