optimize-agentic-workload SKILL.md skillA
optimize-agentic-workload from understudylabs/orchestra-agent-tools is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add understudylabs/orchestra-agent-tools/optimize-agentic-workload@git:20261027.533318ePins git:20261027.533318e in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- understudylabs/orchestra-agent-tools
- Path
skills/optimize-agentic-workload/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261027.533318e, committed Oct 27, 2026
- First version recorded
- Jul 22, 2026
- Size
- 17,649 bytes
- Repository stars
- 19
- License
- MIT
Use when a developer's agent — a multi-turn tool-calling loop — should get cheaper, faster, or better. "My agent is too slow", "this workflow costs too much", "test a cheaper model in my tool-calling loop", "A/B the policy model". Covers read-only search loops and state-mutating API workflows alike.
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
# Optimize Agentic Workload Use this worker when the workload is an **agentic loop**: an LLM that plans over multiple turns and calls tools (web search, retrieval, REST/SDK calls, code execution) before finishing. Freeze every non-target variable within each experiment; model/route comparisons hold the tools fixed, while a named implementation arm may isolate one deployable tool, app, or harness change. The goal is to pick the route and implementation you would ship on a **multi-objective** basis — quality and latency and cost (and, for workflows that write, side-effect safety). The route is backend-agnostic: use the existing harness, provider-native evaluation or training, the public CLI, or a small versioned app/harness change when the measured failure calls for it. **The one discriminator that changes the playbook** is whether the loop *mutates state*: - **Read-only search loops** — web/agentic search, retrieval, lookup tools. Success depends on how the agent searches and the final answer; determinism comes from snapshotting live tool outputs. Harness specifics: [`references/read-only-search.md`](references/read-only-search.md). …
Read the whole file at its exact version.
How to install
mdr add understudylabs/orchestra-agent-tools/optimize-agentic-workload@sha256:3e008bcf10cb55ceThe line at the top of this page pins the label git:20261027.533318e, 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_5oerwpigs6aaqzz2)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jul 22, 2026 and Oct 27, 2026, about one every 24 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261027.533318e latest | 2026-10-27 | 533318e | 17,649 B | A | view · diff |
| git:20261027.3c367b0 | 2026-10-27 | 3c367b0 | 17,652 B | A | view · diff |
| git:20260724.e36d6fe | 2026-07-24 | e36d6fe | 17,661 B | A | view · diff |
| git:20260722.ea3715f | 2026-07-22 | ea3715f | 14,837 B | A | view · diff |
| git:20260722.97b10bf | 2026-07-22 | 97b10bf | 13,973 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 (17649 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
understudylabs/orchestra-agent-tools · 19 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5oerwpigs6aaqzz2 GET https://markdownregistry.com/api/v1/resolve?ref=understudylabs/orchestra-agent-tools/optimize-agentic-workload GET https://markdownregistry.com/api/v1/blob/3e008bcf10cb55ceaf01024162992102f711b9d9f289bec6986290731da596cc
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.