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 agentlas-ai/agentlas-desktop --skill benchling-integrationgit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/benchling-integration)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/benchling-integration"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/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/agentlas-ai/agentlas-desktop/benchling-integration"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/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 | $0.00050 | $0.01958 |
| Opus 5.5 | $0.00020 | $0.00783 |
| Sonnet 5.5 | $0.00010 | $0.00392 |
| Haiku 4.5 | $0.00005 | $0.00196 |
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 1mo 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
86% identical to benchling-integration — 247 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 — 247 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, RNA, proteins), inventory, electronic lab notebooks, and workflows programmatically via the Python SDK and REST API.
Version note: Examples target benchling-sdk 1.25.0 (latest stable on PyPI). Docs: benchling.com/sdk-docs. Platform guide: docs.benchling.com.
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
Seven capability areas, each with code, are in references/core_capabilities.md:
- Authentication and setup — API key and OAuth app auth; see references/authentication.md.
- Registry and entity management — DNA and AA sequences, custom entities, schemas, and registration.
- Inventory management — containers, boxes, plates, locations, and transfers.
- Notebook and documentation — entries, day-to-day notes, and structured tables.
- Workflows and automation — tasks, flowcharts, and assay runs.
- Events and integration — EventBridge subscriptions; see references/eventbridge.md.
- Data warehouse and analytics — SQL access to the warehouse.
Endpoint and SDK detail is in references/api_endpoints.md and references/sdk_reference.md.
Best Practices
Error Handling
The SDK automatically retries failed requests:
# Automatic retry for 429, 502, 503, 504 status codes
# Up to 5 retries with exponential backoff
# Customize retry behavior if needed
from benchling_sdk.retry import RetryStrategy
benchling = Benchling(
url=tenant_url,
auth_method=ApiKeyAuth(api_key),
retry_strategy=RetryStrategy(max_retries=3),
)
What ships with it
5 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.
- 1mo ago First seen · 247 lines · 50 tokens per session scan A f009a42b2108
benchling-integration is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed today), licensed Apache-2.0. It adds 50 tokens to every session and 1,958 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to benchling-integration, differing in 247 lines, and is treated as a copy.
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