Is aegisops-ai safe to install?

No known risky patterns found. The scan covers prompt injection, hidden Unicode, remote code execution and credential access in every text file of the skill. It cannot judge intent, so read any flagged line in context before installing.

How was this score calculated?

Four checks of 25 points each: spec, efficiency, clarity and security. Findings take points off the check they belong to, and any critical finding caps the grade at F. The same scanner runs in your browser at proskills.dev/scan.

Is this report current?

It was made from commit c564f9f on 2026-10-16. If the skill has changed since, paste the new version into the scanner for a fresh score.

I wrote this skill. Can I fix the score or have the page removed?

Fix the findings and push. The reports are rebuilt from GitHub on a schedule, so the next run picks the change up. To have the page removed, open an issue on the ProSkills GitHub repo.

Scan reports · sickn33/agentic-awesome-skills

aegisops-ai: scan report

Autonomous DevSecOps & FinOps Guardrails. Guide to reviewing Linux kernel patches, Terraform cost changes and Kubernetes policy with a separately reviewed upstream tool and configured model. An automated scan of this public skill from sickn33/agentic-awesome-skills: security, token cost, spec and clarity, with every finding and its fix.

Result

Verdict

aegisops-ai

74/100 · grade C

sickn33/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/aegisops-ai at c564f9f

Spec 5 · Efficiency 19 · Clarity 25 · Security 25 (each out of 25)

Always loaded 51 tokens · on trigger 1,500 · on demand 0

eff/description-trigger warn · SKILL.mddescription doesn't say *when* to use the skill ("Use when …"). Agents decide from this line alone.
spec/non-portable-keys warn · SKILL.mdNon-spec frontmatter (risk, source, author, date_added). claude.ai and the Skills API reject the upload; move them under `metadata` or drop them.
spec/broken-ref warn · SKILL.md:72References patch_analyzer.py, which isn't in the skill folder.
spec/broken-ref warn · SKILL.md:72References cost_auditor.py, which isn't in the skill folder.
spec/broken-ref warn · SKILL.md:72References k8s_policy_generator.py, which isn't in the skill folder.
spec/broken-ref warn · SKILL.md:72References main.py, which isn't in the skill folder.

Where it comes from

Source

Fact	Value
Repository	sickn33/agentic-awesome-skills
Skill folder	plugins/agentic-awesome-skills-claude/skills/aegisops-ai
Stars	47,723
License	MIT
Commit scanned	c564f9f
Scanned	2026-10-16
Files	1

ProSkills doesn't host or redistribute this skill. Get it from its repository, and check the license before reusing it. Something wrong here? Open an issue for a rescan or removal.

For maintainers

Badge for the README

If you maintain this skill, this badge shows its score and links to this report. Fix findings and the score moves with the next scan.

[![ProSkills scan 74/100](https://proskills.dev/badge?score=74)](https://proskills.dev/reports/sickn33-aegisops-ai)

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FAQ

Questions

Is aegisops-ai safe to install?: No known risky patterns found. The scan covers prompt injection, hidden Unicode, remote code execution and credential access in every text file of the skill. It cannot judge intent, so read any flagged line in context before installing.
How was this score calculated?: Four checks of 25 points each: spec, efficiency, clarity and security. Findings take points off the check they belong to, and any critical finding caps the grade at F. The same scanner runs in your browser at proskills.dev/scan.
Is this report current?: It was made from commit c564f9f on 2026-10-16. If the skill has changed since, paste the new version into the scanner for a fresh score.
I wrote this skill. Can I fix the score or have the page removed?: Fix the findings and push. The reports are rebuilt from GitHub on a schedule, so the next run picks the change up. To have the page removed, open an issue on the ProSkills GitHub repo.

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