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 Zaoqu-Liu/ScienceClaw --skill pdb-databasegit clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClawWrote 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/zaoqu-liu/scienceclaw/pdb-database)<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/pdb-database"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/pdb-database.svg" alt="Measured on agentmods" 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 | $0.00049 | $0.02426 |
| Opus 5 | $0.00024 | $0.01213 |
| Sonnet 5 | $0.00010 | $0.00485 |
| Haiku 4.5 | $0.00005 | $0.00243 |
Grade A, and why
pdb-database 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 4d 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.
data = fetch(query_type="graphql", query=query) This is a copy
95% identical to pdb-database — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDB Database
Overview
RCSB PDB is the worldwide repository for 3D structural data of biological macromolecules. Search for structures, retrieve coordinates and metadata, perform sequence and structure similarity searches across 200,000+ experimentally determined structures and computed models.
When to Use This Skill
This skill should be used when:
- Searching for protein or nucleic acid 3D structures by text, sequence, or structural similarity
- Downloading coordinate files in PDB, mmCIF, or BinaryCIF formats
- Retrieving structural metadata, experimental methods, or quality metrics
- Performing batch operations across multiple structures
- Integrating PDB data into computational workflows for drug discovery, protein engineering, or structural biology research
Core Capabilities
1. Searching for Structures
Find PDB entries using various search criteria:
Text Search: Search by protein name, keywords, or descriptions
from rcsbapi.search import TextQuery
query = TextQuery("hemoglobin")
results = list(query())
print(f"Found {len(results)} structures")
Attribute Search: Query specific properties (organism, resolution, method, etc.)
from rcsbapi.search import AttributeQuery
from rcsbapi.search.attrs import rcsb_entity_source_organism
# Find human protein structures
query = AttributeQuery(
attribute=rcsb_entity_source_organism.scientific_name,
operator="exact_match",
value="Homo sapiens"
)
results = list(query())
Sequence Similarity: Find structures similar to a given sequence
from rcsbapi.search import SequenceQuery
query = SequenceQuery(
value="MTEYKLVVVGAGGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKCDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHKEKMSKDGKKKKKKSKTKCVIM",
evalue_cutoff=0.1,
identity_cutoff=0.9
)
results = list(query())
Structure Similarity: Find structures with similar 3D geometry
from rcsbapi.search import StructSimilarityQuery
query = StructSimilarityQuery(
structure_search_type="entry",
entry_id="4HHB" # Hemoglobin
)
results = list(query())
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.
- 4d ago First seen · 309 lines · 49 tokens per session scan A 43566e867689
pdb-database is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It adds 49 tokens to every session and 2,426 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 95% identical to pdb-database, differing in 6 lines, and is treated as a copy.
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