mega-pipeline

mega-pipeline is a Multi-stage workflow orchestration skill for AI agents, published by salesforce in the cloudsplaining repository on GitHub. Skillspace rates mega-pipeline D (61/100) and it passed the safety scan; the rating is based on static analysis only.

Closed-loop pipeline that takes a decided change (e.g. onboarding a pathfinding.cloud privilege-escalation technique) through implementation, code review, bug-hunt, report QA (example data and optionally a real AWS account), a pre-push safety scan, and a PR — never pushing to main. This skill should be used to drive a privesc-onboarding change end-to-end with minimal mid-run gates.

Grade
D
Quality
61 / 100
Safety
Passed
GitHub stars
2,247

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubsalesforce/cloudsplaining

Our review

Architecture
94 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • over-broad allowed-tools ('*')

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Multi-stage workflow orchestration

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