boltz-structure-and-binding

boltz-structure-and-binding is a skill for Codex from boltz-bio/boltz-api-skills. It costs 52 tokens per session (1,923 once invoked), scanned A, original, MIT.

A tool for predicting the 3D shape of one defined complex made from proteins, RNA, DNA, or a chemical ligand, with optional binding measurements. A complex is a group of these molecules considered together.

In plain words
What is it for?
Use it to fold a molecular complex, dock a ligand, predict an interface, create CIF or PDB structure files, or obtain structure and binding metrics for one system.
Why use it?
It provides a predicted structure and, when requested, scores how well a specified molecule may bind to the target. It is intended for one complex at a time, not a library.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to fold a molecular complex, dock a ligand, predict an interface, create CIF or PDB structure files, or obtain structure and binding metrics for one system.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/boltz-bio/boltz-api-skills/boltz-structure-and-binding
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add boltz-bio/boltz-api-skills --skill boltz-structure-and-binding
Clone the repo
git clone --depth 1 https://github.com/boltz-bio/boltz-api-skills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for boltz-structure-and-binding

README.md
[![agentmods](https://agentmods.dev/badge/skills/boltz-bio/boltz-api-skills/boltz-structure-and-binding/github.svg)](https://agentmods.dev/skills/boltz-bio/boltz-api-skills/boltz-structure-and-binding)
Your own site
<a href="https://agentmods.dev/skills/boltz-bio/boltz-api-skills/boltz-structure-and-binding"><img src="https://agentmods.dev/badge/skills/boltz-bio/boltz-api-skills/boltz-structure-and-binding/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for boltz-structure-and-binding

Your own site · 80×15
<a href="https://agentmods.dev/skills/boltz-bio/boltz-api-skills/boltz-structure-and-binding"><img src="https://agentmods.dev/badge/skills/boltz-bio/boltz-api-skills/boltz-structure-and-binding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,923 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.01923
Opus 5 $0.00026 $0.00962
Sonnet 5 $0.00010 $0.00385
Haiku 4.5 $0.00005 $0.00192

Measured 3d ago against content hash 5eb0b2b94c77, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

boltz-structure-and-binding scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/boltz-api-cli/skills/boltz-structure-and-binding/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow

If boltz-api is missing from PATH, use boltz-cli-setup for install/update guidance before retrying. If a command reports missing or expired authentication, use boltz-cli-setup to start boltz-api auth login --device-code before retrying; do not ask permission first. If the agent host sandbox blocks boltz-api install/auth/API calls, use boltz-cli-setup to request the host sandbox bypass/escalation needed for user-wide CLI install, browser login, credential storage, temp files, or API access before retrying.

Use this skill for one defined complex, not a library workflow.

  1. Normalize the inputs into entities. Each entity is {type, chain_ids, value} — note plural chain_ids (an array, even for one chain) and the field is value, not sequence:

    {"entities": [{"type": "protein", "chain_ids": ["A"], "value": "MKTAYIAKQRQISFVKSHFSRQ"}]}
    

    type is one of protein | rna | dna | ligand_smiles | ligand_ccd. Chain IDs go in entity order (A, B, C, …) unless the user specifies otherwise. Read references/api.md for per-type field variants (cyclic, modifications, ligand CCD codes, etc.) before authoring your first payload — agent guesses like sequence: or chain_id: "A" (singular) fail with unclear 400 errors.

  2. If the user wants binding metrics, add a flat binding block with an explicit type field. For ligand-protein binding use:

    binding:
      type: ligand_protein_binding
      binder_chain_id: B
    

    For protein-protein binding use:

    binding:
      type: protein_protein_binding
      binder_chain_ids: [B]
    

    Do not nest the variant name under binding (for example, no binding.ligand_protein_binding object).

  3. Supported optional features include constraints, bonds, modifications, model_options, and binding metrics; only add them if the user asks. Read references/api.md for exact shapes and examples.

  4. Author the payload YAML or JSON, run estimate-cost, show the USD cost, wait for explicit confirmation.

  5. start to submit (synchronous). Capture the ID.

  6. Launch download-results through the runtime's long-running or non-blocking command facility so polling + download continue without blocking the agent session. Use the mechanism the runtime documents; consult boltz-cli-setup if unsure. After launching the downloader, always report the job ID, run name, and output directory. If the runtime can schedule follow-up checks, schedule a download-status check and state the cadence; otherwise include the download-status command.

Read the full file on GitHub · 103 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago Changed · +30 lines · -33 tokens per session 5eb0b2b94c77
  2. 11d ago First seen · 73 lines · 85 tokens per session scan A d58cc8a059bd

Subscribe to this mod's changes

boltz-structure-and-binding is a skill published in the GitHub repository boltz-bio/boltz-api-skills (4 stars, last pushed 3d ago), licensed MIT. It adds 52 tokens to every session and 1,923 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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