{"id":"0d9d88fb-c92f-447e-a7ac-34854dc5af97","slug":"clawhub-zbc0315-synomega","name":"Synomega Skill","description":"Retrosynthesis, reaction prediction, and synthesizability for organic molecules, using the synomega Python package (pip install synomega) — runs locally, works out of the box. Six capabilities: single-step retrosynthesis (product → reactants, candidate disconnections), single-step forward reaction prediction / reaction outcome (reactants → product), multi-step route planning down to purchasable building blocks, a continuous synthesizability / makeability score (SynScore), reaction-plausibility screening, and multi-component evolution (growing a forward synthesis network from a set of reactants, e.g. one-pot / multicomponent chemistry). Use this whenever the user gives a molecule (as SMILES or a resolvable name) and asks how to make / synthesize it, whether it can be made or how hard, how to rank molecules by ease of synthesis, what reactants give a target, what product a set of reactants gives, a reaction outcome, or how a reactant mixture evolves — i.e. for retrosynthesis, synthesis planning, cheminformatics, and reaction-prediction tasks. Safety judgments for hazardous, controlled, or otherwise dual-use compounds are deferred to the host's safety policy (see \"Safety boundary / dual-use\" below).","canonicalUrl":"https://www.xpersona.co/agent/clawhub-zbc0315-synomega","sourceUrl":"https://clawhub.ai/zbc0315/synomega","homepage":"https://clawhub.ai/zbc0315/skills/synomega","source":"CLAWHUB","vendor":{"slug":"clawhub","label":"Clawhub","url":"https://clawhub.ai/zbc0315/skills/synomega"},"protocols":["OPENCLEW"],"capabilities":[],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":"1.8.1","freshnessAt":"2026-10-10T17:57:27.961Z","freshnessLabel":"Oct 10, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"Oct 10, 2026"},{"label":"Vendor","value":"Clawhub"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"1.8.1"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Clawhub","href":"https://clawhub.ai/zbc0315/skills/synomega","sourceUrl":"https://clawhub.ai/zbc0315/skills/synomega","sourceType":"profile","confidence":"medium","observedAt":"2026-10-10T17:57:27.961Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"OpenClaw","href":"https://www.xpersona.co/api/v1/agents/clawhub-zbc0315-synomega/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-zbc0315-synomega/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-10-10T17:57:27.961Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"1.3K downloads","href":"https://clawhub.ai/zbc0315/synomega","sourceUrl":"https://clawhub.ai/zbc0315/synomega","sourceType":"profile","confidence":"medium","observedAt":"2026-10-10T17:57:27.961Z","isPublic":true},{"factKey":"latest_release","category":"release","label":"Latest release","value":"1.8.1","href":"https://clawhub.ai/zbc0315/synomega","sourceUrl":"https://clawhub.ai/zbc0315/synomega","sourceType":"release","confidence":"medium","observedAt":"2026-08-29T13:11:02.675Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/clawhub-zbc0315-synomega/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-zbc0315-synomega/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["1.3K downloads","Trust evidence available"],"agentCard":{"name":"Synomega Skill","description":"Retrosynthesis, reaction prediction, and synthesizability for organic molecules, using the synomega Python package (pip install synomega) — runs locally, works out of the box. Six capabilities: single-step retrosynthesis (product → reactants, candidate disconnections), single-step forward reaction prediction / reaction outcome (reactants → product), multi-step route planning down to purchasable building blocks, a continuous synthesizability / makeability score (SynScore), reaction-plausibility screening, and multi-component evolution (growing a forward synthesis network from a set of reactants, e.g. one-pot / multicomponent chemistry). Use this whenever the user gives a molecule (as SMILES or a resolvable name) and asks how to make / synthesize it, whether it can be made or how hard, how to rank molecules by ease of synthesis, what reactants give a target, what product a set of reactants gives, a reaction outcome, or how a reactant mixture evolves — i.e. for retrosynthesis, synthesis planning, cheminformatics, and reaction-prediction tasks. Safety judgments for hazardous, controlled, or otherwise dual-use compounds are deferred to the host's safety policy (see \"Safety boundary / dual-use\" below).","source":"CLAWHUB","sourceId":"clawhub:s170n9q9jf63zng4je4m7vaafh84dkwy:synomega","homepage":"https://clawhub.ai/zbc0315/skills/synomega","repository":"https://clawhub.ai/zbc0315/synomega","documentation":"https://www.xpersona.co/agent/clawhub-zbc0315-synomega","protocols":["OPENCLEW"],"examples":[{"kind":"example","language":"bash","snippet":"pip install \"synomega[gnn]>=0.9.4\"    # neural D-MPNN backend (torch) — recommended\nsynomega download              # optional: pre-fetch the default assets"},{"kind":"example","language":"bash","snippet":"# 1. single-step retrosynthesis — \"what reacts to give X?\"\npython scripts/synomega_run.py single-step \"CC(=O)Nc1ccccc1O\" --top-k 10\n\n# 2. forward prediction — \"what do these reactants give?\"\npython scripts/synomega_run.py forward \"CC(=O)O.NCc1ccccc1\" --top-k 5\n\n# 3. multi-step route planning — \"how do I make X?\"\npython scripts/synomega_run.py plan \"CC(=O)Nc1ccccc1O\" --max-depth 5\n\n# 4. synthesizability score — \"can X be made / how hard?\"  (simplify model by default)\npython scripts/synomega_run.py score \"CC(=O)Nc1ccccc1O\" --max-steps 5\n\n# 6. multi-component evolution — grow a forward synthesis network\npython scripts/synomega_run.py evolve \"CC(=O)c1ccccc1.C=O.CNC\" --max-depth 3 --score-threshold 0.01"}]}}