benchling-integration SKILL.md skillA
benchling-integration from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/benchling-integration@v1.7Pins v1.7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/benchling-integration/SKILL.md- Versions recorded
- 7
- Latest version
- v1.7, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 8,533 bytes
- Repository stars
- 53,159
- License
- MIT
Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Benchling Integration ## When to use Use this skill for Benchling registry entities, sequence imports, inventory, ELN entries, workflow tasks, apps, event-driven integrations, and warehouse analytics. **Reviewed 2026-09-30:** examples target the released **benchling-sdk 1.25.0** and its stable **v2** API models. The [current authentication guide](https://docs.benchling.com/docs/authentication) recommends V3 for new development, while the [V3 guide](https://docs.benchling.com/docs/v3-api-overview) still describes endpoint-specific early access. Confirm your tenant's V3 availability and stability before migrating; these v2 SDK examples must not be mechanically rewritten to V3. SDK imports, model serialization, and request construction were checked locally against 1.25.0. Tenant-dependent examples are **illustrative**: no authenticated requests, mutations, AWS deployment, or warehouse connection were run. ## Workflow 1. Identify the tenant, API version, identity, and permissions. Use OAuth app credentials for background integrations; use delegated authorization when acting as an individual user. See [authentication](references/authentication.md). …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/benchling-integration@sha256:115b5418f7c42748The line at the top of this page pins the label v1.7, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_34ncq2pihhbxxovf)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 19 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.7 latest | 2026-10-01 | a92663a | 8,533 B | A | view · diff |
| v1.6 | 2026-09-30 | ce9e6e9 | 8,667 B | A | view · diff |
| v1.5 | 2026-09-02 | 1e5eeff | 8,592 B | A | view · diff |
| v1.4 | 2026-07-26 | 2f2022d | 7,634 B | A | view · diff |
| v1.3 | 2026-07-26 | b085e11 | 16,611 B | A | view · diff |
| git:20260611.c1150bd | 2026-06-11 | c1150bd | 17,586 B | A | view · diff |
| git:20260611.fe3f715 | 2026-06-11 | fe3f715 | 16,595 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8533 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 53,159 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_34ncq2pihhbxxovf GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/benchling-integration GET https://markdownregistry.com/api/v1/blob/115b5418f7c42748918eed922b78010c795920b276063b8b759802eb0172d5de
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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