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 adaptyvbio/protein-design-skills --skill binding-characterizationgit clone --depth 1 https://github.com/adaptyvbio/protein-design-skillsWrote 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/adaptyvbio/protein-design-skills/binding-characterization)<a href="https://agentmods.dev/skills/adaptyvbio/protein-design-skills/binding-characterization"><img src="https://agentmods.dev/badge/skills/adaptyvbio/protein-design-skills/binding-characterization/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/adaptyvbio/protein-design-skills/binding-characterization"><img src="https://agentmods.dev/badge/skills/adaptyvbio/protein-design-skills/binding-characterization.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 | $0.00057 | $0.02303 |
| Opus 5 | $0.00028 | $0.01151 |
| Sonnet 5 | $0.00011 | $0.00461 |
| Haiku 4.5 | $0.00006 | $0.00230 |
Grade A, and why
binding-characterization 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- spr-bli-binding-characterization — 86% identical, 28 lines differ
How it starts
The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Binding Characterization: SPR and BLI
SPR vs BLI Decision Matrix
| Factor | Choose SPR | Choose BLI |
|---|---|---|
| Sensitivity | Small molecules, fragments (<500 Da) | Large complexes, antibodies |
| Throughput | Low-medium (serial) | High (96-well parallel) |
| Sample purity | Required (clogs fluidics) | Tolerates crude lysates |
| Kinetic resolution | Higher (better for fast kinetics) | Lower |
| Mass transport | More sensitive (may distort kon) | Less sensitive |
| Maintenance | High (fluidics system) | Low (dip-and-read) |
| Sample consumption | Higher (continuous flow) | Lower |
| Cost per experiment | Lower chip cost, higher run cost | Higher tip cost, lower run cost |
Key differences
SPR (Surface Plasmon Resonance)
- Mechanism: Detects refractive index changes at gold surface
- Surface: Gold chip with dextran matrix (CM5, CM7, etc.)
- Flow: Continuous microfluidics
- Best for: Small molecules, high-affinity, precise kon/koff
BLI (Biolayer Interferometry)
- Mechanism: Measures optical interference pattern shift
- Surface: Fiber optic biosensor tips (SA, Ni-NTA, AHC)
- Flow: Dip-and-read (no microfluidics)
- Best for: High-throughput, crude samples, antibody screening
Troubleshooting: Why BLI works but SPR doesn't
| Cause | Mechanism | Solution |
|---|---|---|
| Hydrophobic CDRs | Adsorb to SPR gold/dextran surface | Add 0.05% Tween-20, use CM7 chip with longer dextran |
| Aggregation | Mass transport artifacts in SPR fluidics | Filter sample (0.22μm), reduce ligand density |
| High instability | Degrades during continuous flow | Shorter cycle time, add stabilizers (trehalose 5%) |
| Charge mismatch | Nonspecific binding to charged dextran | Adjust buffer pH ±1 from pI, add BSA 1mg/mL |
| Slow dissociation | Long regeneration needed (damages ligand) | Use BLI (disposable tips) |
Why SPR works but BLI doesn't
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.
- 9d ago First seen · 235 lines · 57 tokens per session scan A 0b4d459e10df
binding-characterization is a skill published in the GitHub repository adaptyvbio/protein-design-skills (158 stars, last pushed 2mo ago), licensed MIT. It adds 57 tokens to every session and 2,303 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
binding-characterization
Guidance for SPR and BLI binding characterization experiments. Use when: (1) Planning binding kinetics experiments, (2) Troubleshooting poor/no binding signal, (3) Interpreting kinetic data artifacts, (4) Choosing between SPR vs BLI platforms.
binding-characterization
Guidance for SPR and BLI binding characterization experiments. Use when: (1) Planning binding kinetics experiments, (2) Troubleshooting poor/no binding signal, (3) Interpreting kinetic data artifacts, (4) Choosing between SPR vs BLI platforms.
spr-bli-binding-characterization
SPR and BLI assay planning, kinetic interpretation, and troubleshooting guidance. Use when: (1) Planning binding kinetics experiments, (2) Troubleshooting poor/no binding signal, (3) Interpreting kinetic data artifacts, (4) Choosing between SPR vs BLI platforms.
binding-characterization
Guidance for SPR and BLI binding characterization experiments. Use when: (1) Planning binding kinetics experiments, (2) Troubleshooting poor/no binding signal, (3) Interpreting kinetic data artifacts, (4) Choosing between SPR vs BLI platforms.
binding-characterization
Guidance for SPR and BLI binding characterization experiments. Use when: (1) Planning binding kinetics experiments, (2) Troubleshooting poor/no binding signal, (3) Interpreting kinetic data artifacts, (4) Choosing between SPR vs BLI platforms.
spr-bli-binding-characterization
SPR and BLI assay planning, kinetic interpretation, and troubleshooting guidance. Use when: (1) Planning binding kinetics experiments, (2) Troubleshooting poor/no binding signal, (3) Interpreting kinetic data artifacts, (4) Choosing between SPR vs BLI platforms.