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.
npx skills add BioSymphony/structure-factory --skill biosymphony-structure-factorygit clone --depth 1 https://github.com/BioSymphony/structure-factoryWrote 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.
[](https://agentmods.dev/skills/biosymphony/structure-factory/biosymphony-structure-factory)<a href="https://agentmods.dev/skills/biosymphony/structure-factory/biosymphony-structure-factory"><img src="https://agentmods.dev/badge/skills/biosymphony/structure-factory/biosymphony-structure-factory/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.
<a href="https://agentmods.dev/skills/biosymphony/structure-factory/biosymphony-structure-factory"><img src="https://agentmods.dev/badge/skills/biosymphony/structure-factory/biosymphony-structure-factory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.01615 |
| Opus 5 | $0.00023 | $0.00807 |
| Sonnet 5 | $0.00009 | $0.00323 |
| Haiku 4.5 | $0.00005 | $0.00161 |
Grade A, and why
biosymphony-structure-factory 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BioSymphony Structure Factory
Use this skill to turn a target, accession, or campaign request into a campaign manifest, task plan, provider contract, candidate report, or structure report.
Always Read
references/README.mdreferences/AGENTS.mdreferences/NON_CLAIMS.md
Read When Applicable
references/docs/intake-interview.mdfor ambiguous, data-bearing, license-bearing, cost-bearing, or workflow-sized requests.references/docs/agentic-biology-harness.mdbefore multi-agent or provider-coordinated work.references/docs/public-export-shape.mdbefore release, publication, or public handoff work.references/docs/linear-orchestration.mdbefore generating or dispatching Symphony or Linear task packs.references/docs/compute-backends.mdwhen selecting local, FAL, Modal, RunPod, Lambda Cloud, AWS Batch, SSH or HPC, generic cloud, or neocloud execution.references/docs/runpod-stack.mdbefore RunPod prep or launch.references/docs/tooling-and-licensing.mdbefore selecting, installing, baking, or running tool lanes.references/docs/confidence-sidecars.mdbefore editing or launching any fold, cofold, scoring, ranking, or render lane that depends on confidence metrics.references/docs/no-false-success-hardening.mdbefore provider-backed execution or scientific closeout.references/docs/operational-gotchas.mdbefore any paid GPU dispatch: a 45-class catalog of failure modes with pre-flight probes and fixes.references/docs/preflight-checklist.mdfor the 10-gate pre-dispatch checklist pattern (PDB chain identity, hotspot atom-spec, output-count validation, operator approval, etc.).references/docs/agent-run-learnings.mdfor execution checks and public record boundaries.references/examples/pd-l1-binder-design-public/README.mdfor the public binder-design fast path.references/docs/binder-lane-round.mdfor multi-arm binder comparisons and mixed-backend handoff contracts.references/docs/binder-study-decision-loop.mdbefore choosing the target, study mode, tools, execution routes, budget, rounds, metric, and stopping rule.references/docs/binder-controls.mdbefore deriving or adopting measured-control gates for a round decision.references/docs/quickstart-tour.md,references/docs/cli-reference.md, andreferences/docs/agent-recipes.mdwhen helping a public user start from scratch.references/docs/faq.mdandreferences/docs/glossary.mdwhen a user or a general-purpose agent is unfamiliar with structural biology terms, agent harness conventions, or how to operate the repo without a tracker.
What ships with it
60 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.
- agents/openai.yaml 205 B
- references/AGENTS.md 6.3 KB
- references/binder-execution-adapters.json 55 KB
- references/binder-lane-capability-ledger.json 17 KB
- references/docs/agent-boundaries.md 1.2 KB
- references/docs/agent-recipes.md 5.5 KB
- references/docs/agent-run-learnings.md 4.4 KB
- references/docs/agentic-biology-harness.md 7.1 KB
- references/docs/ai-design-runtime-readiness.md 11 KB
- references/docs/architecture.md 3.2 KB
- references/docs/assets/agent-lanes.svg 5.4 KB
- references/docs/assets/newcomer-paths.svg 4.5 KB
- references/docs/assets/README.md 2.1 KB
- references/docs/assets/structure-factory-banner.png 818 KB
- references/docs/assets/structure-factory-loop.svg 3.9 KB
- references/docs/assets/structure-factory-social-preview.png 449 KB
- references/docs/assets/system-context.svg 5.0 KB
- references/docs/assets/workflow-ladder.svg 3.6 KB
- references/docs/binder-controls.md 4.7 KB
- references/docs/binder-lane-round.md 30 KB
- references/docs/binder-study-decision-loop.md 8.6 KB
- references/docs/capabilities.md 9.7 KB
- references/docs/cli-reference.md 10 KB
- references/docs/compute-backends.md 9.3 KB
- references/docs/confidence-sidecars.md 2.7 KB
- references/docs/faq.md 7.6 KB
- references/docs/genie3-boltz-demo-ideas.md 5.2 KB
- references/docs/glossary.md 6.6 KB
- references/docs/install-sidecar.md 1.8 KB
- references/docs/intake-interview.md 3.5 KB
- references/docs/linear-orchestration.md 9.2 KB
- references/docs/no-false-success-hardening.md 9.2 KB
- references/docs/operational-gotchas.md 31 KB
- references/docs/preflight-checklist.md 14 KB
- references/docs/privacy-and-security-model.md 2.6 KB
- references/docs/public-export-shape.md 4.2 KB
- references/docs/public-repo-and-private-image-policy.md 11 KB
- references/docs/public-switch-checklist.md 3.0 KB
- references/docs/quickstart-tour.md 5.7 KB
- references/docs/release-process.md 1.3 KB
- references/docs/result-boundaries.md 4.8 KB
- references/docs/runpod-stack.md 11 KB
- references/docs/screening-superpowers.md 10 KB
- references/docs/sidecar-architecture.md 1.7 KB
- references/docs/skill-install.md 1.4 KB
- references/docs/standalone-agent-workflow.md 2.4 KB
- references/docs/tool-and-skill-radar.md 9.0 KB
- references/docs/tooling-and-licensing.md 11 KB
- references/docs/use-cases.md 14 KB
- references/docs/workflow-map.md 9.5 KB
- references/examples/binder-controls-synthetic/control-observations.jsonl 1.7 KB
- references/examples/binder-controls-synthetic/control-panel.json 1.8 KB
- references/examples/binder-controls-synthetic/README.md 713 B
- references/examples/pd-l1-binder-design-public/binder-round-request.json 6.0 KB
- references/examples/pd-l1-binder-design-public/campaign-manifest.json 1.9 KB
- references/examples/pd-l1-binder-design-public/candidate-ranking.example.json 2.3 KB
- references/examples/pd-l1-binder-design-public/README.md 2.3 KB
- references/examples/pd-l1-binder-design-public/round-history.synthetic.example.json 424 B
- references/examples/pd-l1-binder-design-public/stage-contract.json 2.1 KB
- references/examples/pd-l1-binder-design-public/target-window.json 1.2 KB
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.
- 6d ago Changed · +1 lines 87a9e95be95d
- 10d ago First seen · 112 lines · 47 tokens per session scan A 3f6d5b993906
biosymphony-structure-factory is a skill published in the GitHub repository BioSymphony/structure-factory (5 stars, last pushed 8d ago), licensed MIT. It adds 47 tokens to every session and 1,615 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
statistical-modeling
Statistical modeling and machine learning for biomarker discovery, survival analysis, classification, regression, and model interpretation.
dna-methylation
DNA methylation analysis — array (450K/EPIC), bisulfite-seq, DMP/DMR detection, clocks, deconvolution, and EWAS.
genomic-variants
Analysis of called genomic variants — filtering, annotation, GWAS, and population-genetics summaries from VCF and PLINK-format data.
bulk-transcriptomics
Bulk RNA-seq and microarray differential expression analysis including method selection, batch correction, and complex experimental designs.
chromatin-regulation
Chromatin regulation analysis from called peaks and count matrices — differential binding, signal summarisation, peak annotation, and scATAC-seq.
spatial-omics
Spatial transcriptomics and spatial proteomics analysis covering technology-specific workflows, spatial statistics, deconvolution, and niche analysis.