understand-workload SKILL.md skillA
understand-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/understand-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/understand-workload/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261027.533318e, committed Oct 27, 2026
- First version recorded
- Jul 22, 2026
- Size
- 11,730 bytes
- Repository stars
- 19
- License
- MIT
Use when a developer wants a captured prompt, trace, or dataset explained before changing anything — "explain this prompt", "what is this trace actually doing", "decompose this workload", "help me understand this dataset before testing models". Builds a shared mental model (purpose, inputs, tools, success criteria) with the user through Q&A.
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
# Understand the workload (profile traces, data, prompts, and code path) The intermediate step before you compare, optimize, or route models. **You cannot improve an AI workload you cannot explain.** Seeing generated questions or a side-by-side duel in isolation is secondary; first help the user understand what their workload is meant to accomplish, what data it represents, and how a request moves through the app. This skill turns traces, prompt files, datasets, and code paths into a *shared mental model* — purpose, inputs, outputs, steps, tool-call flow, data shape, failure modes, and success criteria — built **with** the user through inference-first, targeted Q&A. Every workload is different, so this is a skill, not a script: the agent acts as the conversational frontend, extracts structure and a proposed task meaning from traces and code, and asks the user only about material uncertainty. When this understanding feeds a hosted eval and the owner is unavailable, preserve uncertainty explicitly and continue to a provisional local draft rather than blocking useful analysis. ## Safety Gates - **Redact customer content.** Captured prompts often contain real customer data …
Read the whole file at its exact version.
How to install
mdr add understudylabs/orchestra-agent-tools/understand-workload@sha256:9a03eb074c4086f6The 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_axtfa7qhrhsbfo2z)
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 | 11,730 B | A | view · diff |
| git:20261027.3c367b0 | 2026-10-27 | 3c367b0 | 11,733 B | A | view · diff |
| git:20260901.0bfb2e4 | 2026-09-01 | 0bfb2e4 | 11,734 B | A | view · diff |
| git:20260831.fe4ba3e | 2026-08-31 | fe4ba3e | 11,622 B | A | view · diff |
| git:20260722.df756e5 | 2026-07-22 | df756e5 | 9,989 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 (11730 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_axtfa7qhrhsbfo2z GET https://markdownregistry.com/api/v1/resolve?ref=understudylabs/orchestra-agent-tools/understand-workload GET https://markdownregistry.com/api/v1/blob/9a03eb074c4086f6fe7d33cef52696a9a334d4a03983071bf1e9c4da1a8fc06d
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.