onboard-privesc-technique
onboard-privesc-technique is a Cloud platforms skill for AI agents, published by salesforce in the cloudsplaining repository on GitHub. Skillspace rates onboard-privesc-technique D (61/100) and it passed the safety scan; the rating is based on static analysis only.
Add a single AWS IAM privilege-escalation technique (e.g. from pathfinding.cloud) to cloudsplaining's detection. This skill should be used when the method name and required action list are already decided — it is a pure executor, not a planner. It updates constants.py with TDD, regenerates fixtures with a regression check, and updates the docs.
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 2,247
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
- 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
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