complexa-sweep SKILL.md skillA
complexa-sweep from nvidia-bionemo/bionemo-agent-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-bionemo/bionemo-agent-toolkit/complexa-sweep@git:20260812.47315ccPins git:20260812.47315cc in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia-bionemo/bionemo-agent-toolkit
- Path
open-models-skills/proteina-complexa/complexa-sweep/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260812.47315cc, committed Aug 12, 2026
- First version recorded
- Jun 23, 2026
- Size
- 12,649 bytes
- Repository stars
- 503
- License
- a license file GitHub does not identify
Use this skill whenever the user wants to run a parameter sweep over a Proteina-Complexa design pipeline — cartesian-product hyperparameter scans, Pareto search over generation/reward/evaluation knobs, or any "compare configurations" workflow. Trigger phrases include "sweep beam width", "sweep nsteps", "hyperparameter sweep", "parameter scan", "scan beam_width and temperature", "compare configurations", "find the best generation params", "what's the optimal nsteps…
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
# complexa-sweep
Run cartesian-product parameter sweeps over Proteina-Complexa design pipelines. Pick or author a sweeper YAML in `configs/sweeps/`, expand it to N inference configs with `script_utils/generate_inference_configs.py`, loop `complexa design` over those configs, then aggregate per-config success metrics into a ranked summary CSV plus a manifest.
> **Important:** The `complexa design` CLI does **NOT** accept `--sweeper` directly. Sweeps are driven by `script_utils/generate_inference_configs.py`, which writes one `configs/inference_configs/inf_{idx}_{run_name}.yaml` per sweep combination. You then loop `complexa design` over those generated configs.
## What this skill enables
- Pick an existing sweeper YAML from `configs/sweeps/` (`beam_width`, `bb_ca_temperature`, `search_replicas`, `example`).
- Author a new sweeper YAML with arbitrary dot-notation axes (cartesian product).
- Generate N inference + evaluation config pairs with `script_utils/generate_inference_configs.py`.
- Loop `complexa design` over the generated configs (one at a time on a single GPU, or in parallel on a multi-GPU host by sharding the config list across `CUDA_VISIBLE_DEVICES`).
…Read the whole file at its exact version.
How to install
mdr add nvidia-bionemo/bionemo-agent-toolkit/complexa-sweep@sha256:9b992154db8f73c9The line at the top of this page pins the label git:20260812.47315cc, 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_acp3nxunjce7gbhq)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jun 23, 2026 and Aug 12, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260812.47315cc latest | 2026-08-12 | 47315cc | 12,649 B | A | view · diff |
| git:20260720.d64bc5e | 2026-07-20 | d64bc5e | 12,702 B | A | view · diff |
| git:20260623.4e8fda7 | 2026-06-23 | 4e8fda7 | 14,369 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 (12649 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
nvidia-bionemo/bionemo-agent-toolkit · 503 stars · license a license file GitHub does not identify · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_acp3nxunjce7gbhq GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-bionemo/bionemo-agent-toolkit/complexa-sweep GET https://markdownregistry.com/api/v1/blob/9b992154db8f73c909277b780894a841505fc4a71fdc7b93ea0f910cd9691178
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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