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 dralkh/iktinah --skill benchling-integrationgit clone --depth 1 https://github.com/dralkh/iktinahWrote 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/dralkh/iktinah/benchling-integration)<a href="https://agentmods.dev/skills/dralkh/iktinah/benchling-integration"><img src="https://agentmods.dev/badge/skills/dralkh/iktinah/benchling-integration.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.04067 |
| Opus 5 | $0.00025 | $0.02034 |
| Sonnet 5 | $0.00010 | $0.00813 |
| Haiku 4.5 | $0.00005 | $0.00407 |
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 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.
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
2 near-identical copies found in the catalogue:
- benchling-integration — 100% identical, 0 lines differ
- benchling-integration — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 533 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
1. Authentication & Setup
Python SDK installation:
uv pip install "benchling-sdk==1.25.0"
Preview builds (alpha; not for production):
uv pip install "benchling-sdk" --prerelease allow
Environment variables (scoped reads only):
Read only the named keys you need — never dump or iterate over the full environment:
import os
tenant_url = os.environ.get("BENCHLING_TENANT_URL") # e.g. https://your-tenant.benchling.com
api_key = os.environ.get("BENCHLING_API_KEY")
if not tenant_url or not api_key:
raise ValueError("Set BENCHLING_TENANT_URL and BENCHLING_API_KEY")
Obtain an API key from Profile Settings in Benchling. For OAuth apps, use the Developer Console and store BENCHLING_CLIENT_ID / BENCHLING_CLIENT_SECRET separately.
Authentication methods:
API key (scripts and personal automation):
from benchling_sdk.benchling import Benchling
from benchling_sdk.auth.api_key_auth import ApiKeyAuth
benchling = Benchling(
url=tenant_url,
auth_method=ApiKeyAuth(api_key),
)
What ships with it
4 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.
- 4d ago First seen · 533 lines · 50 tokens per session scan A c7f138709570
benchling-integration is a skill published in the GitHub repository dralkh/iktinah (77 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 4,067 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 2026-09-03.
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