Model and reduce Cohere usage cost with current pricing, measured token or search units, quality gates, caching, and budget controls.

MITAuto-check passedData & Analytics

Install Cohere Cost Tuning

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace cohere-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/cohere-cost-tuning .claude/skills/cohere-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
cohere-cost-tuning
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
434 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Model and reduce Cohere usage cost with current pricing, measured token or search units, quality gates, caching, and budget controls.

  • Works in 6 steps: Collect current public prices or… → Measure per-request input, output,… → Forecast baseline, expected, and peak… → …
  • Optimizing Cohere spend
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
  • Needs CO_API_KEY

What it does

Cohere Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Model and reduce Cohere usage cost with current pricing, measured token or search units, quality gates, caching, and budget controls. Use when forecasting or optimizing Cohere spend. Trigger with "Cohere cost", "Cohere pricing", or "Cohere 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; live verification requires network access and an approved Cohere API key

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

  • Optimizing Cohere spend
  • With Cohere cost

Example prompts

  • “Cohere cost”
  • “Cohere pricing”
  • “Cohere budget”
  • “/cohere-cost-tuning”

Requirements

  • A credential in CO_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code; live verification requires network access and an approved Cohere API key
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit

Workflow steps

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

  1. Collect current public prices or contracted rates with effective date and currency.
  2. Measure per-request input, output, Embed, Rerank, retry, cache, and failure units by workload class.
  3. Forecast baseline, expected, and peak volume with capacity and retry assumptions.
  4. Evaluate model routing, context reduction, retrieval pruning, batching, caching, and duplicate suppression.
  5. Set per-tenant and global budgets, alerts, admission controls, and an owner-approved degradation path.
  6. Reconcile forecast with actual billing regularly and investigate material variance.

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
    • WebFetch
    • 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

    Links to these hosts (documentation or services it may open):

    • cohere.com
    • docs.cohere.com

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

  • Credentials

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

    • CO_API_KEY

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

  • Compatibility

    Designed for Claude Code; live verification requires network access and an approved Cohere API key

    From compatibility in the SKILL.md frontmatter.

Context cost

Cohere Cost Tuning loads about 1.1k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 434 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
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
~1.9k

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). 434 words, ~1,075 tokens.

Download SKILL.mdSave it as .claude/skills/cohere-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
cohere-cost-tuning
description
Model and reduce Cohere usage cost with current pricing, measured token or search units, quality gates, caching, and budget controls. Use when forecasting or optimizing Cohere spend. Trigger with "Cohere cost", "Cohere pricing", or "Cohere budget".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; live verification requires network access and an approved Cohere API key
argument-hint
[workload] [monthly-volume] [currency]
version
1.6.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, cohere, cost
model
inherit
effort
high

Cohere Cost and Usage Tuning

Overview

Build a reproducible cost model from live prices and measured workload units, then optimize only within approved quality and safety thresholds.

Prerequisites

  • The target repository, runtime, environment, and accountable owner
  • An approved Cohere team and key for any live verification
  • Current quality, security, privacy, capacity, and change-control requirements

Tool Discipline

Use Read, Glob, and Grep to inspect code, configuration, and evidence. Use WebFetch only for current Cohere primary documentation. Use Write or Edit only when the user requested implementation and the exact target files are known; never write credentials or customer content.

Current Contract

  • Do not embed a permanent price table; capture the pricing page date and applicable commercial terms.
  • Separate Chat input/output, Embed input, Rerank search, and platform infrastructure costs.
  • Newer model access and production capacity can have account-specific terms.
  • A cheaper model or smaller context is acceptable only after representative evaluation passes.

Authentication

Use an environment-specific key injected from an approved secret manager. Never print, persist, commit, or place CO_API_KEY in an example. Confirm access with the least costly bounded operation appropriate to the task, and treat key creation, rotation, revocation, role changes, and production-capacity requests as owner-approved actions.

Instructions

  1. Collect current public prices or contracted rates with effective date and currency.
  2. Measure per-request input, output, Embed, Rerank, retry, cache, and failure units by workload class.
  3. Forecast baseline, expected, and peak volume with capacity and retry assumptions.
  4. Evaluate model routing, context reduction, retrieval pruning, batching, caching, and duplicate suppression.
  5. Set per-tenant and global budgets, alerts, admission controls, and an owner-approved degradation path.
  6. Reconcile forecast with actual billing regularly and investigate material variance.
Show full SKILL.md (158 more words)Show less

Approval Boundaries

Do not expose or rotate keys, change Cohere Team roles, accept commercial terms, enable sensitive production data, increase spend or capacity, switch production models, send a support bundle, or execute model-proposed side effects without the accountable owner's approval. Keep diagnosis read-only unless implementation was requested.

Output

Return the resolved API and model contract, files or settings inspected, evidence collected, validation result, remaining risk, owner, and rollback or next action. Redact keys, authorization headers, prompts, retrieved documents, embeddings, customer identifiers, and unrestricted environment output.

Error Handling

ConditionResponse
Unknown contract rateMark the forecast incomplete and obtain the governing rate.
Quality below floorReject the savings change.
Retry amplificationFix failure handling and include wasted units in the model.
Budget exceededApply approved admission control; do not silently weaken safety.

Examples

Use this compact handoff shape to keep the selected scope, validation evidence, and operational result reviewable.

Input:

text
workload=rag-chat; monthly-requests=100000; prices=effective-date-snapshot

Expected handoff:

text
forecast=three-scenarios; unit-cost=measured; controls=enabled; quality=pass

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/cohere-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

Cohere 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.

Cohere Cost Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cohere Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Data Collectionbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~975Automated safety check: PassCustom licence
AWS Databaseaws/agent-toolkit-for-aws2.8k—~2kAutomated safety check: PassApache-2.0
Time Series Analytics Useropen-edge-platform/edge-ai-libraries171—~3.1kAutomated safety check: PassApache-2.0
Meihua Divinationtradecatlabs/fatecat201—~1.1kAutomated safety check: PassMIT
Data Quality Frameworkswshobson/agents40k11 repos~1.1kAutomated safety check: PassMIT

Similar skills

  • Data Collection

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when collecting data for a research project, downloading time series, building a dataset, accessing economic or social data APIs, or scraping data from a non-API source.

    4.6k GitHub stars~975 tokensUpdated 6 days ago
    Data & AnalyticsAuto-check passed
  • AWS Database

    aws/agent-toolkit-for-aws

    Official

    Routes any task involving AWS databases — choosing, comparing, recommending, getting started with, or operating a database — to the correct service-specific skill.

    2.8k GitHub stars~2k tokensUpdated yesterday
    DatabasesAuto-check passed
  • Time Series Analytics User

    open-edge-platform/edge-ai-libraries

    Build a new time-series analytics use case on top of the deployed Time Series Analytics microservice — bring it up with Docker Compose (from a repo clone, or by fetching the compose files from…

    171 GitHub stars~3.1k tokensUpdated yesterday
    Data & AnalyticsAuto-check passed
  • Meihua Divination

    tradecatlabs/fatecat

    Structured Chinese-style divination and fate-reading skill for questions about current fortune, relationships, career choices, project momentum, and personal tendencies.

    201 GitHub stars~1.1k tokensUpdated 1 mo ago
    Data & AnalyticsAuto-check passed
  • Sets up data quality checks with Great Expectations, dbt tests and data contracts, with checkpoints and pass-fail reports for pipelines.

    40k GitHub starsUsed in 11 repos~1.1k tokens
    Data & AnalyticsAuto-check passed
  • How agents work in eserstack: clarifying requests, roles, approvals, forbidden git and publish actions, cross-package changes, root-cause fixes, quality gates.

    128 GitHub stars~743 tokensUpdated 7 days ago
    DevelopmentAuto-check passed

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo
  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes
  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed
  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Questions about Cohere Cost Tuning

What does Cohere Cost Tuning do?

Model and reduce Cohere usage cost with current pricing, measured token or search units, quality gates, caching, and budget controls. Cohere Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Model and reduce Cohere usage cost with current pricing, measured token or search units, quality gates, caching, and budget controls.

When should I use Cohere Cost Tuning?

Cohere Cost Tuning fits situations like: optimizing Cohere spend; with Cohere cost.

How do I install Cohere Cost Tuning in Claude Code?

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

How do I install Cohere Cost Tuning in Codex?

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

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

What does Cohere Cost Tuning need to run?

Going by SKILL.md and its folder, Cohere Cost Tuning needs credentials named CO_API_KEY. Our summary lists: A credential in CO_API_KEY. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; live verification requires network access and an approved Cohere API key.

Does Cohere Cost Tuning access the network?

SKILL.md names 2 domains. As links in the text: cohere.com and docs.cohere.com. This is read from the text; nothing was executed.

Is Cohere 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 Cohere Cost Tuning use?

Cohere 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 Cohere Cost Tuning use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 820 tokens, read only when the agent opens those files.

What are the alternatives to Cohere Cost Tuning?

Skills that share tags, products or a category with Cohere Cost Tuning: Data Collection (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars), AWS Database (aws/agent-toolkit-for-aws, 2.8k stars), Time Series Analytics User (open-edge-platform/edge-ai-libraries, 171 stars) and Meihua Divination (tradecatlabs/fatecat, 201 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cohere 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.