Agentic Workflow Automation
v0.1.0Generate reusable multi-step agent workflow blueprints. Use for trigger/action orchestration, deterministic workflow definitions, and automation handoff arti...
⭐ 2· 5.2k·80 current·84 all-time
byMuhammad Mazhar Saeed@0x-professor
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 match the included assets: a workflow guide, an OpenAI agent manifest, and a small Python script that normalizes and exports workflow blueprints. Nothing in the files suggests functionality beyond blueprint generation and export.
Instruction Scope
SKILL.md simply directs the agent to read the guide and run the bundled script. The script only reads a user-supplied input file (if provided), enforces a 1MB input size limit, normalizes step data, and writes an output artifact in json/md/csv. There are no instructions to access unrelated system files, network endpoints, or secrets.
Install Mechanism
There is no install spec; this is instruction-only plus a small Python script using only standard library modules. No external downloads, package installs, or archive extraction are present.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The code does not read environment variables or attempt to access credentials.
Persistence & Privilege
The skill is not 'always' enabled and does not modify other skills. Model invocation is allowed (platform default), which means an agent could call this skill autonomously — this is normal for skills and not by itself problematic.
Assessment
This skill appears coherent and low-risk: it only processes an input JSON you provide and writes a chosen output file. Before running: (1) review the output path you supply to avoid overwriting sensitive files, (2) only feed trusted input files (script will read whatever path you give it up to 1MB), and (3) if you prefer to prevent autonomous agent use, restrict model-invocation or only call the skill manually. If you need higher assurance, run the Python script in an isolated environment and inspect its output.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.