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 Lord1Egypt/scientific-agent-toolkit --skill benchling-integrationgit clone --depth 1 https://github.com/Lord1Egypt/scientific-agent-toolkitWrote 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/lord1egypt/scientific-agent-toolkit/benchling-integration)<a href="https://agentmods.dev/skills/lord1egypt/scientific-agent-toolkit/benchling-integration"><img src="https://agentmods.dev/badge/skills/lord1egypt/scientific-agent-toolkit/benchling-integration/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/lord1egypt/scientific-agent-toolkit/benchling-integration"><img src="https://agentmods.dev/badge/skills/lord1egypt/scientific-agent-toolkit/benchling-integration.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 | $0.00044 | $0.02870 |
| Opus 5 | $0.00022 | $0.01435 |
| Sonnet 5 | $0.00009 | $0.00574 |
| Haiku 4.5 | $0.00004 | $0.00287 |
Grade A, and why
benchling-integration 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.
This is a copy
91% identical to benchling-integration — 3 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 — 479 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Benchling Integration
Overview
Benchling is a cloud platform for life sciences R&D. Access registry entities (DNA, proteins), inventory, electronic lab notebooks, and workflows programmatically via Python SDK and REST API.
When to Use This Skill
This skill should be used when:
- Working with Benchling's Python SDK or REST API
- Managing biological sequences (DNA, RNA, proteins) and registry entities
- Automating inventory operations (samples, containers, locations, transfers)
- Creating or querying electronic lab notebook entries
- Building workflow automations or Benchling Apps
- Syncing data between Benchling and external systems
- Querying the Benchling Data Warehouse for analytics
- Setting up event-driven integrations with AWS EventBridge
Core Capabilities
1. Authentication & Setup
Python SDK Installation:
# Stable release
uv pip install benchling-sdk
# or with Poetry
poetry add benchling-sdk
Authentication Methods:
API Key Authentication (recommended for scripts):
from benchling_sdk.benchling import Benchling
from benchling_sdk.auth.api_key_auth import ApiKeyAuth
benchling = Benchling(
url="https://your-tenant.benchling.com",
auth_method=ApiKeyAuth("your_api_key")
)
OAuth Client Credentials (for apps):
from benchling_sdk.auth.client_credentials_oauth2 import ClientCredentialsOAuth2
auth_method = ClientCredentialsOAuth2(
client_id="your_client_id",
client_secret="your_client_secret"
)
benchling = Benchling(
url="https://your-tenant.benchling.com",
auth_method=auth_method
)
Key Points:
- API keys are obtained from Profile Settings in Benchling
- Store credentials securely (use environment variables or password managers)
- All API requests require HTTPS
- Authentication permissions mirror user permissions in the UI
For detailed authentication information including OIDC and security best practices, refer to references/authentication.md.
2. Registry & Entity Management
What ships with it
3 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.
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 · 479 lines · 44 tokens per session scan A 468200f5ae5e
benchling-integration is a skill published in the GitHub repository Lord1Egypt/scientific-agent-toolkit (2 stars, last pushed 3mo ago), licensed MIT. It adds 44 tokens to every session and 2,870 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to benchling-integration, differing in 3 lines, and is treated as a copy.
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