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 wentorai/research-plugins --skill alphafold-apigit clone --depth 1 https://github.com/wentorai/research-pluginsWrote 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/wentorai/research-plugins/alphafold-api)<a href="https://agentmods.dev/skills/wentorai/research-plugins/alphafold-api"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/alphafold-api/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/wentorai/research-plugins/alphafold-api"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/alphafold-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00015 | $0.02348 |
| Opus 5 | $0.00008 | $0.01174 |
| Sonnet 5 | $0.00003 | $0.00470 |
| Haiku 4.5 | $0.00002 | $0.00235 |
Grade A, and why
alphafold-api scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl "https://alphafold.ebi.ac.uk/api/prediction/P04637" How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaFold Protein Structure Database API
Overview
The AlphaFold DB, maintained by EMBL-EBI and DeepMind, provides open access to over 200 million protein structure predictions. The REST API enables programmatic lookup of predicted structures, confidence metrics (pLDDT, PAE), and downloadable structure files (PDB, mmCIF, BinaryCIF) keyed on UniProt accessions. Free, no authentication required.
Authentication
None. All endpoints are publicly accessible without API keys or tokens.
Core Endpoints
Base URL: https://alphafold.ebi.ac.uk/api
1. Get Prediction by UniProt Accession
Retrieves all AlphaFold models for a given UniProt accession or model ID.
curl "https://alphafold.ebi.ac.uk/api/prediction/P04637"
Response (first entry, abbreviated):
[
{
"entryId": "AF-P04637-F1",
"uniprotAccession": "P04637",
"uniprotId": "P53_HUMAN",
"uniprotDescription": "Cellular tumor antigen p53",
"gene": "TP53",
"organismScientificName": "Homo sapiens",
"taxId": 9606,
"globalMetricValue": 75.06,
"fractionPlddtVeryHigh": 0.527,
"fractionPlddtConfident": 0.071,
"fractionPlddtLow": 0.104,
"fractionPlddtVeryLow": 0.298,
"latestVersion": 6,
"modelCreatedDate": "2025-08-01T00:00:00Z",
"sequenceStart": 1,
"sequenceEnd": 393,
"pdbUrl": "https://alphafold.ebi.ac.uk/files/AF-P04637-F1-model_v6.pdb",
"cifUrl": "https://alphafold.ebi.ac.uk/files/AF-P04637-F1-model_v6.cif",
"bcifUrl": "https://alphafold.ebi.ac.uk/files/AF-P04637-F1-model_v6.bcif",
"paeImageUrl": "https://alphafold.ebi.ac.uk/files/AF-P04637-F1-predicted_aligned_error_v6.png",
"paeDocUrl": "https://alphafold.ebi.ac.uk/files/AF-P04637-F1-predicted_aligned_error_v6.json",
"plddtDocUrl": "https://alphafold.ebi.ac.uk/files/AF-P04637-F1-confidence_v6.json",
"amAnnotationsUrl": "https://alphafold.ebi.ac.uk/files/AF-P04637-F1-aa-substitutions.csv"
}
]
2. Per-Residue Confidence Scores (pLDDT)
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 First seen · 228 lines · 15 tokens per session scan A fc0839962bc8
alphafold-api is a skill published in the GitHub repository wentorai/research-plugins (291 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 2,348 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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