complexa-target 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.
complexa-target 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-target@git:20260825.0e67a61Pins git:20260825.0e67a61 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
skills/bionemo-agent-toolkit/skills/complexa-target/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260825.0e67a61, committed Aug 25, 2026
- Size
- 14,922 bytes
- Repository stars
- 503
- License
- a license file GitHub does not identify
Use this skill whenever the user wants to add, register, edit, list, show, or validate a Proteina-Complexa design target for any pipeline — protein binder (default), ligand binder, or AME / enzyme scaffolding. Triggers include "add a target", "define a new target for binder design", "register a hotspot", "set up a PDL1 binder target", "ligand binder pocket", "SMILES target", "AME task", "enzyme motif", "M0024_1nzy", "complexa target add", "complexa target show", "configure target X…
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-target Add or edit a design target in Proteina-Complexa. Targets live in **three YAML files**, one per `complexa design` pipeline: - `configs/targets/targets_dict.yaml` — protein binder (**default pipeline**) - `configs/targets/ligand_targets_dict.yaml` — ligand binder - `configs/design_tasks/ame_dict_v2.yaml` — AME / enzyme scaffolding The `complexa target` CLI only manages the first two. AME tasks use an extended schema (the same core fields as ligand targets plus `contig_atoms` for hand-curated per-residue motif atom selections) and are file-edit-only. ## Preferred path: edit the YAML directly `complexa target add` is a thin wrapper around "load YAML → build dict → append a block" (see `src/proteinfoundation/cli/target_manager.py:add_target_cli` and `append_target_to_dict`). For agentic use, **just edit the targets dict directly** — the schema is short, the existing entries are great copy templates, and you skip 14 CLI flags / SMILES shell-escaping. Use the CLI only if you explicitly want its YAML auto-quoter or its overwrite-prompt safety. The skill therefore presents both paths: | Step | Direct file edit (preferred) | CLI | |---|---|---| …
Read the whole file at its exact version.
How to install
mdr add nvidia-bionemo/bionemo-agent-toolkit/complexa-target@sha256:9960f8c0041586bfThe line at the top of this page pins the label git:20260825.0e67a61, 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_ru645cizpmerhnrf)
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Versions
The registry has recorded 1 version of this file, committed on Aug 25, 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 (14922 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_ru645cizpmerhnrf GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-bionemo/bionemo-agent-toolkit/complexa-target GET https://markdownregistry.com/api/v1/blob/9960f8c0041586bfdf9bd269f7754a41882b47482fc2b481365036405ab1f916
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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