llm-cost-advisor SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
llm-cost-advisor from ulises-jeremias/agent-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ulises-jeremias/agent-toolkit/llm-cost-advisor@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ulises-jeremias/agent-toolkit
- Path
plugins/agent-toolkit-complete/.github/skills/llm-cost-advisor/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Aug 31, 2026
- Size
- 2,937 bytes
- Repository stars
- 19
- License
- MIT
WHAT — Recommend the most cost-effective LLM provider for a given task type. Shows estimated.
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 Advisor (WHAT) Recommend the right provider for the task at hand — balancing quality, cost, and privacy. ## When to use - User asks "which model should I use for X?" - Before scheduling expensive loops (pr-babysitter, ci-sweeper) - When dev-companion jobs are unexpectedly expensive - When choosing between local and cloud providers for sensitive work ## Out of scope - Does NOT configure providers — that's done via env vars and `loadenv` - Does NOT run LLM calls — it advises, the runner executes ## Workflow **Step 1 — Check available providers:** ```bash devcompanion llm-status ``` **Step 2 — Classify the task:** | Task type | Recommended tier | Why | |-----------|-----------------|-----| | Interactive code review, planning, debugging | Claude Sonnet / GPT-4o | Reasoning quality matters | | Batch labeling, summarization, triage | Claude Haiku / GPT-4o-mini | High volume, lower stakes | | Private/sensitive codebase work | Ollama or OpenCode | Stays local, zero cost | | Loop L1 (observation only) | Haiku / GPT-4o-mini | Low stakes, runs daily | | Loop L2 (PR creation) | Sonnet | Creates external artifacts | …
Read the whole file at its exact version.
How to install
mdr add ulises-jeremias/agent-toolkit/llm-cost-advisor@sha256:a2618beaa3167940The line at the top of this page pins the label v1.0, 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_vjqb4g5sxjbo6lhh)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Aug 31, 2026.
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 (2937 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
ulises-jeremias/agent-toolkit · 19 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vjqb4g5sxjbo6lhh GET https://markdownregistry.com/api/v1/resolve?ref=ulises-jeremias/agent-toolkit/llm-cost-advisor GET https://markdownregistry.com/api/v1/blob/a2618beaa31679402c893c02342d7a1f49086d567464394b1f58dbc15df955f7
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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