stp-automation
stp-automation is a Process documentation & SOPs skill for AI agents, published by JoelLewis in the finance_skills repository on GitHub. Skillspace rates stp-automation C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Measure and raise straight-through processing (STP) rates in securities operations through zero-touch, exception-based processing. Use when measuring STP rates and analyzing manual touchpoints in an existing process, replacing review-all workflows with exception-based processing, evaluating RPA vs API-based vs hybrid automation for legacy systems, building exception queuing, categorization, and auto-resolution workflows, conducting process mining or root cause analysis on exception volumes, or setting STP rate targets and continuous improvement programs. For approval chains, four-eyes controls, and SLA monitoring, see workflow-automation.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 151
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
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General securities-operations STP and automation methodology
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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