llm-cost-optimizer SKILL.md skillA
llm-cost-optimizer from borghei/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add borghei/claude-skills/llm-cost-optimizer@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- borghei/claude-skills
- Path
engineering/llm-cost-optimizer/SKILL.md- Versions recorded
- 3
- Latest version
- v1.1.0, committed Jun 29, 2026
- First version recorded
- Apr 2, 2026
- Size
- 4,303 bytes
- Repository stars
- 1,019
- License
- a license file GitHub does not identify
This skill should be used when the user asks to "estimate LLM costs", "count tokens in prompts", "optimize prompt token usage", "compare model pricing", or "reduce LLM API costs".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LLM Cost Optimizer > **Category:** Engineering > **Domain:** AI Cost Management ## Overview The **LLM Cost Optimizer** skill provides tools for counting tokens, estimating costs across different LLM providers, and optimizing prompts to reduce token usage without sacrificing quality. Essential for teams managing LLM API budgets at scale. ## Clarify First Before estimating or optimizing, confirm these inputs. If any is unknown or vague, ASK — do not assume: - [ ] **Input prompt/text** — the prompt file or text to count or optimize (the input via `--file`/`--text`/`--stdin`) - [ ] **Target models** — which models to estimate cost for (sets `--models` and the pricing comparison) - [ ] **Goal** — cost estimation vs prompt optimization, and any target reduction (selects `token_counter.py` vs `prompt_optimizer.py` and sets `--target-reduction`) Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact. ## Quick Start ```bash # Count tokens in a prompt file and estimate costs python scripts/token_counter.py --file prompt.txt --models gpt-4o claude-sonnet # Count tokens from stdin …
Read the whole file at its exact version.
How to install
mdr add borghei/claude-skills/llm-cost-optimizer@sha256:f0f65d0a0a5b130aThe line at the top of this page pins the label v1.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_q7x2x5bu3wexbcow)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Apr 2, 2026 and Jun 29, 2026, about one every 44 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-06-29 | 5e4f0f8 | 4,303 B | A | view · diff |
| v1.0.0 | 2026-06-22 | 65b93aa | 3,507 B | A | view · diff |
| v1.0.0 | 2026-04-02 | d83e68b | 2,831 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4303 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
borghei/claude-skills · 1,019 stars · license a license file GitHub does not identify · pushed 2026-10-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_q7x2x5bu3wexbcow GET https://markdownregistry.com/api/v1/resolve?ref=borghei/claude-skills/llm-cost-optimizer GET https://markdownregistry.com/api/v1/blob/f0f65d0a0a5b130afc28d7c688583d63eac71897d872986bb9c7f84c56e143ed
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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