estimate-llm-cost SKILL.md skillA
estimate-llm-cost from contextjet-ai/awesome-llm-observability is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add contextjet-ai/awesome-llm-observability/estimate-llm-cost@git:20261020.4f317d3Pins git:20261020.4f317d3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- contextjet-ai/awesome-llm-observability
- Path
skills/estimate-llm-cost/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261020.4f317d3, committed Oct 20, 2026
- First version recorded
- Jul 5, 2026
- Size
- 2,652 bytes
- Repository stars
- 45
- License
- a license file GitHub does not identify
Use this to estimate what an LLM call or feature will cost, and to compare models on price, before or after shipping. Trigger on "how much will this cost", "estimate my OpenAI/Anthropic bill", "is a cheaper model worth it", "cost of this prompt", "project my LLM spend". Ships a runnable, tested calculator so the numbers are real, not hand-waved.
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
# Estimate LLM cost Cost surprises come from not doing the arithmetic. This skill ships a small, dependency-free calculator so you can price a call, project a monthly bill, and compare models with actual numbers. ## Use the bundled script [`scripts/llm_cost.py`](scripts/llm_cost.py) is pure Python, no install needed: ```python from llm_cost import estimate_cost, project_monthly estimate_cost(1500, 300, model="gpt-6.1-sol") # one call, USD project_monthly(1500, 300, calls_per_day=5000, model="gpt-6.1-sol") # monthly projection estimate_cost(2000, 200, model="claude-sonnet-5-5", cached_input_tokens=1800) # with prompt caching ``` Run it directly to see a worked example: `python scripts/llm_cost.py`. …
Read the whole file at its exact version.
How to install
mdr add contextjet-ai/awesome-llm-observability/estimate-llm-cost@sha256:dfb52e33af2716d8The line at the top of this page pins the label git:20261020.4f317d3, 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_yp4ol2pfg3fru23z)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 5, 2026 and Oct 20, 2026, about one every 106 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261020.4f317d3 latest | 2026-10-20 | 4f317d3 | 2,652 B | A | view · diff |
| git:20260705.4a31848 | 2026-07-05 | 4a31848 | 2,288 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 (2652 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
contextjet-ai/awesome-llm-observability · 45 stars · license a license file GitHub does not identify · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_yp4ol2pfg3fru23z GET https://markdownregistry.com/api/v1/resolve?ref=contextjet-ai/awesome-llm-observability/estimate-llm-cost GET https://markdownregistry.com/api/v1/blob/dfb52e33af2716d89ed10f5654d8415f498538a2022407e4016d37d7d7fe78e7
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.