tracecat-automation-best-practices
tracecat-automation-best-practices is a Workflow automation & no-code skill for AI agents, published by TracecatHQ in the tracecat repository on GitHub. Skillspace rates tracecat-automation-best-practices C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Use when building, editing, validating, or debugging generic Tracecat automations through Tracecat MCP, including workflow DSL/YAML authoring, table design, unique indexes, run-python Tracecat imports, agent presets, ai.agent or ai.preset_agent workflows, executions, validation, and workflow best practices.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 3,730
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Using the Tracecat product via MCP; useful to any Tracecat user
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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