optimize-workload SKILL.md skillA

optimize-workload from understudylabs/orchestra-agent-tools is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add understudylabs/orchestra-agent-tools/optimize-workload@git:20261027.533318e

Pins 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-workload/SKILL.md
Versions recorded
5
Latest version
git:20261027.533318e, committed Oct 27, 2026
First version recorded
Oct 23, 2026
Size
15,589 bytes
Repository stars
19
License
MIT

Use when a developer has a measured eval and wants the prompt or route improved without retraining — "optimize my prompt against my eval", "close the quality gap with the cheaper model", "squeeze cost without losing quality". Keeps holdout sealed, runs GEPA (automatic prompt evolution) on train/dev only, and requires a claim packet before any savings statement.

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 Workload

Use this worker only after the workload has fresh local artifacts from
`capture-evidence`. Validation and optimization must be evidence-led and
split-safe.

## Safety Gates

Default to the intervention with the highest expected progress toward the
objective under hard constraints, not the cheapest rung. State the expected
quality gain, time, spend envelope, and evidence before execution; follow
[`../understudy/reference.md`](../understudy/reference.md) → Outcome-first spend
posture. A developer action that launches a named bounded optimization plan
authorizes its declared model calls, uploads, hosted work, evaluation, receipts,
and cleanup. Do not pause for phase-by-phase confirmation. Ask again only if the
plan expands its displayed data, destination, spend, retention, download, or
production-impact envelope. Follow the repo public boundary in
[`../../docs/privacy-and-data-boundaries.md`](../../docs/privacy-and-data-boundaries.md)
for prompts, completions, traces, labels, datasets, repo paths, secrets, and
private notes.

## Refusal Gate

Refuse to optimize unless all required artifacts are present and fresh:

```text
.understudy/capture-evidence/harness.json
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add understudylabs/orchestra-agent-tools/optimize-workload@sha256:c4a2ce9afaebaae3

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_q2m6xs2i5fzar4eg.svg)](https://markdownregistry.com/a/art_q2m6xs2i5fzar4eg)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Oct 23, 2026 and Oct 27, 2026, about one every day.

versioncommittedcommitsizeaudit
git:20261027.533318e latest2026-10-27 533318e 15,589 BA view · diff
git:20261027.3c367b02026-10-27 3c367b0 15,593 BA view · diff
git:20261023.035ad8b2026-10-23 035ad8b 15,600 BA view · diff
git:20261023.137b43e2026-10-23 137b43e 15,586 BA view · diff
git:20261023.84bbdca2026-10-23 84bbdca 15,533 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (15589 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

GitHub

understudylabs/orchestra-agent-tools · 19 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_q2m6xs2i5fzar4eg
GET https://markdownregistry.com/api/v1/resolve?ref=understudylabs/orchestra-agent-tools/optimize-workload
GET https://markdownregistry.com/api/v1/blob/c4a2ce9afaebaae38209d728af62941d257b383e9e28702e60747eeea4bbf837

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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