Auto Proteomics
v0.2.0Public OpenClaw skill for low-token routing and downstream analysis of processed DDA LFQ proteomics inputs. Use when the user already has protein-level quant...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name, description, and included scripts match the stated goal: routing validated processed DDA LFQ inputs into a shipped two-group downstream workflow. No unrelated credentials, binaries, or external services are requested.
Instruction Scope
SKILL.md gives a focused, limited runtime procedure (validate routing, then run scripts/workflows/dda_lfq_processed.sh). Instructions do not ask the agent to read unrelated system files or to transmit data to external endpoints. The repository explicitly documents public vs prototype branches to avoid over-promising.
Install Mechanism
This is an instruction-only skill with no install spec (low risk). Minor inconsistency: the skill metadata lists 'no required binaries', but the runtime docs (references/RUNTIME_REQUIREMENTS.md and SKILL.md) expect bash, python3 and PyYAML. That is a documentation/packaging mismatch to be aware of but not an active supply-chain risk.
Credentials
No environment variables, credentials, or config paths are required by the skill. The requested surface is proportionate to the stated proteomics processing task.
Persistence & Privilege
The skill is not always-enabled and is user-invocable; model invocation is allowed (platform default). This autonomous-invocation ability is normal — there are no other high-privilege behaviors requested.
Assessment
This repository appears coherent and limited to processed DDA LFQ downstream analysis. Before installing or running it: (1) inspect the included scripts (shell/Python) yourself or run them in an isolated environment to confirm they do only local file processing and do not perform unexpected network access; (2) ensure your environment has bash, python3, and PyYAML as documented (the package metadata omitted these); (3) provide only the intended processed input files (proteinGroups.txt, summary.txt) — do not feed raw vendor files expecting the skill to perform raw-spectrum searches; (4) if you will run it inside an agent that can invoke skills autonomously, be aware the agent could run the shipped workflow automatically when given matching inputs — this is normal but worth acknowledging. If you need deeper assurance, request the full contents of the main scripts to review for any network or credential usage before running on sensitive data.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.