Boltz Small Molecule Design
OpenAIOfficialCreated by BoltzDistributed by OpenAI
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- Workflow
- Science and research
- MIT
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AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a structured workflow for de novo small-molecule design. It enables users to generate novel ligands for a specific protein target without requiring a pre-existing compound library. The process involves defining the target protein, specifying the number of molecules to generate, and optionally applying chemical space constraints or filters. The workflow includes cost estimation, submission, background downloading of results, and post-generation ranking based on binding confidence or optimization scores.
What it does
- Normalizes protein target sequences and pocket definitions for design.
- Estimates generation costs based on the requested number of molecules.
- Submits de novo design jobs to the Boltz API.
- Handles background downloading and polling of generated molecule data.
- Provides ranking metrics for hit discovery and lead optimization.
- Surfaces ADME properties for developability triage.
When to use it
- When you need to discover novel small-molecule binders for a protein target.
- When you do not have a fixed compound library to screen.
- When you need to perform lead optimization on a specific target.
- When you need to evaluate the developability of generated hits using ADME metrics.
Advantages
- Enables de novo discovery rather than simple library screening.
- Includes free ADME property estimation for every generated molecule.
- Supports flexible target definition including pocket residues and reference ligands.
- Provides clear cost transparency before job submission.
Usage examples
- “Design 500 novel small-molecule binders for my protein target defined in target.yaml.”
- The agent will validate the count, run an estimate-cost check, request your confirmation, and then initiate the design job, providing the job ID and monitoring instructions.
- “Generate 1000 molecules for this target, restricted to the Enamine REAL library.”
- The agent will include the chemical_space: enamine_real parameter in the payload, estimate the cost, and proceed with the generation workflow upon your approval.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/openai/boltz-small-molecule-design/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip boltz-small-molecule-design.zip -d .agents/skills
Documentation by Boltz
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 when the user wants de novo small-molecule binders (no existing library).
Normalize the target: one or more protein sequences into
target.entities, plus optionalpocket_residues(0-based) and/orreference_ligands(known binders to help locate the pocket).Pick
num_molecules— valid range 10 to 1,000,000 (server rejects outside it). If the user says fewer than 10, explain the floor and propose 10.Only add
chemical_space(e.g."enamine_real") if the user explicitly wants generation restricted to synthesizable molecules within that library.Supported optional features include
chemical_spaceandmolecule_filters; only add them on explicit request. Read references/api.md for exact shapes and filter options.Author the payload YAML or JSON, run
estimate-cost, show the USD cost, wait for explicit confirmation. Cost is a flat $0.025 per molecule (size-independent); still quoteestimated_cost_usdfrom the response as the authoritative total.startto submit (synchronous). Capture the ID.Launch
download-resultswith the agent runtime's background/non-blocking command facility; it polls, paginates, downloads per-hit structures, and exits when terminal. In Claude Code, use Bash withrun_in_background: true. In Codex, rundownload-resultsas a foreground shell command withyield_time_ms: 1000; if Codex returns asession_id, keep it for optional same-thread polling, but treatdownload-statusplus the run directory as the durable source of truth. In Codex app/desktop runtimes that expose same-thread heartbeat automations, create a heartbeat that checksdownload-statusperiodically and posts a concise completion or failure update when the download reaches a terminal state. After launching the downloader, always report the job ID, run name, and output directory. Include the next check cadence if the heartbeat was created; otherwise include thedownload-statuscommand.Rank hits from
<output-root>/<run-name>/results/index.jsonlbybinding_confidencefor hit discovery oroptimization_scorefor lead optimization. Each generated molecule also carries a freeadmeblock (solubility,permeability,lipophilicity) — surface it for developability triage when the user cares about ADME, or when a top hit looks risky. Read references/results.md for output layout and metric details.
Command Pattern
# Replace placeholders with concrete absolute paths before running.
# Use a short descriptive run name, for example: sm-design-<target>-<batch>-v1
boltz-api small-molecule:design estimate-cost \
--input @yaml:///absolute/path/payload.yaml
boltz-api small-molecule:design start \
--idempotency-key "<run-name>" \
--input @yaml:///absolute/path/payload.yaml \
--raw-output --transform id
# Copy the printed job ID into this command, then launch it in the agent
# runtime's background/non-blocking mode.
# Claude Code: Bash with run_in_background=true.
# Codex: foreground shell command with yield_time_ms=1000; keep the returned session_id if one is provided.
# Do not append "&" or use nohup in Codex.
boltz-api download-results \
--id "<job-id-from-start>" --name "<run-name>" \
--root-dir "/absolute/path/boltz-experiments" \
--poll-interval-seconds 60
# -> /absolute/path/boltz-experiments/<run-name>/results/<pres_*>/...Payload keys are num_molecules, target, chemical_space, molecule_filters — the API body field names.
Always Do This
Enforce
10 <= num_molecules <= 1,000,000before callingestimate-cost. The server rejects values outside that range.Cost is a flat $0.025 per molecule (size-independent).
estimate-costreturns the authoritative total.Treat pocket residue indices as 0-based.
Keep payload field names exactly as the API body names shown in
references/api.md.Use absolute paths for the output root, payload files, and embedded target files. Do not
cdinto the run directory for follow-up commands; pass the same--root-dirand use absolute paths so later relative paths do not drift.Prefer one merged top-level payload via
--input @yaml:///absolute/path/payload.yamlor@json:///absolute/path/payload.jsonforestimate-costandstart. Keep--idempotency-keyand--workspace-idtop-level; if they also appear inside--input, the top-level flags win.Direct object flags still work as overrides: for example
--target @yaml:///absolute/path/target.yamlor--molecule-filters @json:///absolute/path/filters.json. Piped YAML / JSON on stdin also works, but it must use API body field names. Never use@file://.Use the same slug as both
--idempotency-keyat submit and--nameondownload-results.In permission-gated agents such as Claude Code, keep each Boltz call as a top-level command that starts with
boltz-api. Prefer concrete arguments oversh -c, inline environment assignments, aliases, wrapper scripts, loops, or pipelines around theboltz-apiinvocation unless the user already allowed that exact command form. Use--raw-output --transform id, read the printed ID, then paste that literal ID into the nextdownload-resultscommand.Prefer the agent runtime's background/non-blocking command mode for
download-results. In Codex specifically, keepdownload-resultsin the foreground and set the shell tool yield to 1000 ms; Codex will return asession_idif the command is still running. Do not append&or usenohupin Codex because the tool runner may clean up shell-backgrounded descendants before.boltz-run.jsonis fully written.After the background/session starts, do not manually wait on it or run ad hoc polling loops. Wall-clock time scales roughly with
num_molecules: under 100 often finishes in a few minutes, 100-1,000 may take several minutes to tens of minutes, and larger runs can take longer or hours depending on inputs and system load. Don't quote a fixed duration.--poll-interval-seconds 60is a sensible default for the downloader.download-resultsemits JSONL progress on stderr by default; add--progress-format text --verboseonly when you explicitly want human-readable logs.In Codex app/desktop runtimes with same-thread heartbeat automation support, schedule a heartbeat after launching
download-results. The heartbeat should runboltz-api --format json download-status --name "<run-name>" --root-dir "/absolute/path/boltz-experiments"and stop once terminal. Choose cadence bynum_molecules: under 100 -> every 1-2 minutes; 100-1,000 -> every 5 minutes; over 1,000 -> every 15 minutes. Post only material status changes or terminal completion/failure. Poll the savedsession_idwith an emptywrite_stdinonly for interactive, user-requested progress checks. Never run a manual poll loop in the current turn.If the current host has no heartbeat automation support, do not claim an automatic next check. Report the job ID, run name, output directory, and the command needed to check
download-status.If detached download needs to be restarted, re-run
boltz-api download-resultswith the same--name "<run-name>"and the same--root-dir.Do not invent filters; only add
molecule_filterson user request.
Escape Hatch
Payload reference: https://api.boltz.bio/docs/api/python/resources/small_molecule/subresources/design/methods/start
CLI flag names:
boltz-api small-molecule:design start --help
Read references/api.md for the target, chemical_space, and molecule_filters shapes (filter catalog matches the screen endpoint). Read references/results.md after download when ranking generated molecules or explaining outputs.
Outputs
Rank from results/index.jsonl after download-results; use references/results.md for local file layout and metric meanings.
Files
- ATTRIBUTION.mdAdded by AutoGineer932 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md8.5 KiB
- agents/openai.yaml244 B
- references/api.md7.8 KiB
- references/results.md1.5 KiB
references/api.md
Small Molecule Design — Payload Reference
Covers the small-molecule:design endpoint. Prefer a single merged top-level --input payload. Field names below are API body field names, not CLI flag names.
Minimal CLI pattern:
boltz-api small-molecule:design estimate-cost --input @yaml:///absolute/path/payload.yaml
boltz-api small-molecule:design start --idempotency-key "<run-name>" --input @yaml:///absolute/path/payload.yaml --raw-output --transform idIn permission-gated agents, keep the submit command as a top-level boltz-api ... start invocation. Read the printed job ID from stdout and paste it into the later download-results command.
Keep --idempotency-key and --workspace-id top-level; if they also appear inside --input, the top-level flags win. Direct object flags still work as overrides, such as --target @yaml:///absolute/path/target.yaml or --molecule-filters @json:///absolute/path/filters.json. Piped YAML / JSON on stdin remains supported when you need it, but the body must use API field names.
Contents
Top-level request
num_moleculesminimumCost
chemical_spacetargetmolecule_filtersOutputs (after
download-results)Escape hatch
Top-level request
# payload.yaml
num_molecules: 10
target:
entities:
- type: protein
chain_ids: [A]
value: MKTAYIAKQRQISFVKSHFSRQ
pocket_residues:
A: [42, 43, 44] # 0-based
reference_ligands:
- "CC(=O)Oc1ccccc1C(=O)O"
chemical_space: enamine_real
molecule_filters:
boltz_smarts_catalog_filter_level: recommendedTop-level fields:
num_molecules(required) — number to generate. Must be between 10 and 1,000,000 (server rejects outside this range).target(required) — protein target object (same shape as the screen endpoint).chemical_space(optional) — generation space constraint. Currently"enamine_real"is the documented value. Omit for default.molecule_filters(optional) — filter candidates before they're scored. Same schema as the screen endpoint.
Also passed as separate start flags:
--idempotency-key <slug>--workspace-id <id>(admin keys only)
num_molecules minimum
The server rejects num_molecules < 10 or > 1000000 with VALIDATION_ERROR. Validate client-side before submitting.
Cost
Cost is a flat $0.025 per molecule (size-independent — verified against estimate-cost: the per-unit rate does not change with target or molecule size). estimate-cost returns the authoritative total — always report estimated_cost_usd.
chemical_space
Optional. Documented value: "enamine_real" — restricts generation to synthesizable molecules from the Enamine REAL library. Omit unless the user explicitly wants this.
target
Identical shape to small-molecule:library-screen. Only protein entities are supported.
target:
entities:
- type: protein
chain_ids: [A]
value: MKTAYIAKQRQISFVKSHFSRQ
cyclic: false # optional
modifications: [] # optional; defaults to []
pocket_residues:
A: [42, 43, 44] # 0-based
reference_ligands:
- "CC(=O)Oc1ccccc1C(=O)O"Entity fields:
type: protein(required)chain_ids(required)value(required)modifications(optional)cyclic(optional, bool)
Optional target fields:
pocket_residues—{chain_id: [0-based residue_index, ...]}.reference_ligands— list of SMILES to help locate the pocket.
Polymer modifications
modifications:
- residue_index: 12 # 0-based
type: ccd
value: MSEtype must be ccd — SMILES polymer modifications are not supported (the API rejects them with modifications[].type must be "ccd").
molecule_filters
Same schema as the screen endpoint. Applied during generation so candidates that fail are never scored.
Top-level:
boltz_smarts_catalog_filter_level—"recommended"(default),"extra","aggressive","disabled".custom_filters— list, AND-combined.
lipinski_filter
custom_filters:
- type: lipinski_filter
max_mw: 500
max_logp: 5
max_hbd: 5
max_hba: 10
allow_single_violation: trueAll four caps (max_mw, max_logp, max_hbd, max_hba) are required together — only allow_single_violation is optional. For a partial cap (e.g. MW + logP only), use rdkit_descriptor_filter, whose descriptor keys are independently optional; a partial lipinski_filter is rejected with a confusing union error.
rdkit_descriptor_filter
custom_filters:
- type: rdkit_descriptor_filter
mol_wt: {min: 250, max: 550}
mol_logp: {min: 1, max: 5}
num_h_donors: {max: 5}
num_h_acceptors: {max: 10}
num_rotatable_bonds: {max: 10}
num_rings: {min: 1, max: 6}
num_aromatic_rings: {max: 3}
num_heteroatoms: {min: 1, max: 15}
fraction_csp3: {min: 0.2, max: 1.0}
tpsa: {min: 20, max: 140}Descriptor keys: mol_wt, mol_logp, num_h_donors, num_h_acceptors, num_rotatable_bonds, num_rings, num_aromatic_rings, num_heteroatoms, fraction_csp3, tpsa. Each takes {min?, max?}.
smarts_catalog_filter
custom_filters:
- type: smarts_catalog_filter
catalog: PAINSCatalogs: PAINS, PAINS_A, PAINS_B, PAINS_C, BRENK, CHEMBL, CHEMBL_BMS, CHEMBL_Dundee, CHEMBL_Glaxo, CHEMBL_Inpharmatica, CHEMBL_LINT, CHEMBL_MLSMR, CHEMBL_SureChEMBL, NIH.
smarts_custom_filter
custom_filters:
- type: smarts_custom_filter
patterns: ["[N+](=O)[O-]"]smiles_regex_filter
custom_filters:
- type: smiles_regex_filter
patterns: ["Cl", "Br"]Outputs (after download-results)
Under <output-root>/<run-name>/:
.boltz-run.jsonrun.json— sanitized remote run recordresults/index.jsonl— one generated candidate per line, copied from list-results metadata plus local artifact pathsresults/<pres_*>/metadata.json— per-result metadata copied from the list-results recordresults/<pres_*>/archive.tar.gz— one dir per generated candidateresults/<pres_*>/files/result/{metrics.json, <result-id>_predicted.cif, pae.npz}(the CIF is named<pres_*>_predicted.cif— prefer thepaths.structurefield fromindex.jsonlover hard-coding the filename)
Per-result fields (available in results/index.jsonl, results/<pres_*>/metadata.json, and the list-results stream):
id— server-assignedpres_*IDsmiles— generated SMILESmetrics.binding_confidence— primary for hit discoverymetrics.optimization_score— ranks by binding strength for lead optimizationmetrics.structure_confidencemetrics.complex_plddt,metrics.complex_iplddtmetrics.iptm,metrics.ptmadme— Tier-1 ADME triage returned free per generated molecule (sibling ofmetrics, not nested in it). Object withsolubility(categorical:high-confidence/medium-confidence/high-risk),permeability(numeric score), andlipophilicity(numeric LogD). Approximate estimates for triage/ranking, not absolute measurements.artifacts.structure.url,artifacts.archive.url(presigned, short-lived)warnings— optional array of{code, message}quality flags (e.g.low_confidence,unusual_geometry); empty or absent on clean results. Surface them when presenting top hits.
Rank from results/index.jsonl after download-results. binding_confidence and optimization_score are parallel intents (hit discovery vs. lead optimization), not a primary/fallback hierarchy. Sort by whichever matches the user's goal.
Escape hatch
https://api.boltz.bio/docs/api/python/resources/small_molecule/subresources/design/methods/start
boltz-api small-molecule:design start --help
Requirements and compatibility
Written for: OpenAI Codex
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs Python
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Attribution and licence
- Created by
- Boltz
- Publisher
- OpenAI (Official)
- Distributed by
- OpenAI
- Source
- openai/plugins · plugins/boltz-api-cli/skills/boltz-small-molecule-design · commit d420d13
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from plugins/boltz-api-cli/LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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