Boltz Small Molecule Screen
OpenAIOfficialCreated by BoltzDistributed by OpenAI
- Skill
- 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 screening candidate small-molecule libraries against specific protein targets using the Boltz API. It handles the submission of molecule lists and target protein sequences, manages cost estimation, and automates the retrieval and ranking of results. Beyond docking and scoring, it automatically includes Tier-1 ADME/ADMET data (solubility, permeability, and lipophilicity) for each molecule, enabling efficient developability triage alongside binding metrics.
What it does
- Normalizes input libraries from various formats like SMILES, CSV, or text files.
- Configures protein targets with optional pocket residues and reference ligands.
- Provides cost estimation before submission to ensure budget control.
- Automates the asynchronous download and management of screening results.
- Ranks hits based on binding confidence or optimization scores.
- Includes free ADME/ADMET profiling for every screened molecule.
When to use it
- When you have a library of candidate molecules and need to screen them against a specific protein target.
- When you need to rank molecules based on binding affinity or lead optimization potential.
- When you require preliminary ADME/ADMET data to filter out risky candidates during the screening process.
- When you need to perform a systematic, multi-molecule docking experiment.
Advantages
- Integrated workflow from submission to ranked results.
- Includes free Tier-1 ADME/ADMET data for every molecule.
- Supports custom filtering to optimize cost and relevance.
- Provides clear metrics for both hit discovery and lead optimization.
Usage examples
- “Screen my library of 500 SMILES against the target protein sequence MKTAYIAKQRQISFVKSHFSRQ.”
- The agent will normalize the SMILES, prepare the target payload, estimate the cost, and upon confirmation, submit the job and begin the background download of results.
- “Rank the results of my recent screen by binding confidence and show me the top 5 hits with their ADME data.”
- The agent will parse the index.jsonl file, sort by binding_confidence, and present the top 5 molecules including their solubility, permeability, and lipophilicity scores.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/openai/boltz-small-molecule-screen/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip boltz-small-molecule-screen.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 already has candidate molecules.
Normalize the library from raw SMILES, a CSV (auto-detect the SMILES column),
.smi, or.txtinto themoleculeslist. Each entry is{smiles, id?}; the optionalidis echoed back asexternal_idon each result.Normalize the target: one or more protein sequences into
target.entities, plus optionalpocket_residues(0-based) and/orreference_ligands(SMILES of known binders to help locate the pocket).Keep default server-side filtering unless the user asks for custom filters — only add
molecule_filterson explicit request.Author the payload YAML or JSON, run
estimate-cost, show the USD cost, wait for explicit confirmation.startto submit (synchronous). Capture the ID.Launch
download-resultswith the agent runtime's background/non-blocking command facility — it polls, paginateslist-results, downloads every per-hit structure, 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.When done, rank from
<output-root>/<run-name>/results/index.jsonl. Sort bybinding_confidencefor hit discovery oroptimization_scorefor lead optimization; these are parallel intents, not a fallback hierarchy. Report the top 5-10 hits withsmiles, the chosen ranking metric, key confidence metrics, and structure path. Each result also carries a freeadmeblock (solubility,permeability,lipophilicity) — include it for developability triage when the user cares about ADME, or when a top hit looks risky. Read references/results.md for output layout, metrics, ADME, and filtered-input accounting.
Command Pattern
# Replace placeholders with concrete absolute paths before running.
# Use a short descriptive run name, for example: sm-screen-<target>-<library>-v1
boltz-api small-molecule:library-screen estimate-cost \
--input @yaml:///absolute/path/payload.yaml
boltz-api small-molecule:library-screen 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 30
# -> /absolute/path/boltz-experiments/<run-name>/results/<pres_*>/...Payload keys are molecules, target, molecule_filters — the API body field names, not the direct CLI flag names --molecule / --target / --molecule-filters.
Always Do This
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, such as
--target @yaml:///absolute/path/target.yaml,--molecule-filters @json:///absolute/path/filters.json, or repeated--molecule @json:///absolute/path/mol-1.jsonentries. Piped YAML / JSON on stdin also works, but it must use API body field names. Never use@file://or@./.Treat pocket residue indices as 0-based.
Do not invent medicinal-chemistry filters. Only add
molecule_filtersif the user asks; mention the catalog as an option.Use the same slug as both
--idempotency-keyat submit and--nameondownload-resultsso re-runs resume via.boltz-run.json.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.
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 by molecule count: 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.Cost is a flat $0.025 per molecule (size-independent).
estimate-costreturns the authoritative total — always use it.Poll interval:
--poll-interval-seconds 30is a reasonable downloader default. Wall-clock time scales roughly with the number of molecules: under 100 often finishes in a few minutes, 100-1,000 may take several minutes to tens of minutes, and larger screens can take longer or hours depending on inputs and system load. Don't quote a fixed duration, and never tell the user a 10-candidate screen will take 30 minutes or hours.
Escape Hatch
Payload reference: https://api.boltz.bio/docs/api/python/resources/small_molecule/subresources/library_screen/methods/start
CLI flag names:
boltz-api small-molecule:library-screen start --help
Read references/api.md for the molecules, target, and molecule_filters shapes, including the built-in SMARTS filters and RDKit descriptor ranges. Read references/results.md after download when ranking hits or explaining missing/filtered inputs.
Outputs
Rank from results/index.jsonl after download-results; use references/results.md for the local file layout, metric meanings, and filtered-input accounting.
Files
- ATTRIBUTION.mdAdded by AutoGineer932 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md8.9 KiB
- agents/openai.yaml246 B
- references/api.md9.3 KiB
- references/results.md2.2 KiB
references/results.md
Small-Molecule Screen Results
Read this after download-results completes, when ranking hits, explaining missing molecules, or summarizing output files.
Local Layout
Under <output-root>/<run-name>/:
.boltz-run.json- run metadatarun.json- sanitized remote run record; checkprogress.rejection_summaryfor filtered/invalid counts when presentresults/index.jsonl- one scored molecule per line, withexternal_id,smiles,metrics, a freeadmeblock, and localpathsresults/<pres_*>/metadata.json- per-result metadata copied from the list-results recordresults/<pres_*>/archive.tar.gzresults/<pres_*>/files/result/{metrics.json, <pres_*>_predicted.cif, pae.npz}(use thepaths.structurefield fromindex.jsonlrather than assuming a fixed CIF filename)
Use results/index.jsonl as the authoritative local scored list after download. The extracted per-hit metrics.json files do not include input-library mapping fields.
Ranking
Sort by the metric matching the user's goal:
binding_confidencefor hit discoveryoptimization_scorefor lead optimization
These are parallel intents, not fallback metrics. Also available: structure_confidence, complex_plddt, complex_iplddt, iptm, and ptm.
ADME (free, included)
Every scored molecule also carries a free Tier-1 ADME block (adme), a sibling of metrics in index.jsonl and each metadata.json:
adme.solubility— categorical:high-confidence,medium-confidence, orhigh-riskadme.permeability— numeric scoreadme.lipophilicity— numeric LogD
No extra flag, no extra cost. Use it for developability triage alongside the binding metrics. These are approximate estimates for triage/ranking, not absolute measurements; may be absent on a failed molecule. For ADME on bare SMILES without a target (and without paying the per-molecule screen cost), use the boltz-small-molecule-adme skill instead.
Filtered Inputs
The results/<pres_*>/ directory count is often lower than len(molecules). Default server-side molecule_filters can drop candidates before scoring. If the user needs to know which input IDs were dropped, compute input_ids - seen(external_id) from results/index.jsonl.
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
Security
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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-screen · commit d420d13
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from plugins/boltz-api-cli/LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Boltz or OpenAI.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download boltz-small-molecule-screen.zip