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Skill evidence / session-management
Skill profile

session-management

Context preservation, tiered summarization, resumability.

What this skill does for you

Context preservation, tiered summarization, resumability

Quoted from the skill description in the pinned source

Who made it

Publisheralinaqi
Repositorymaggy
Installs296as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the session-management skill from alinaqi/maggy.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 72a456e6ccf0e68d10f69157b590ec1c44f6ef44. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 72a456e6ccf0e68d10f69157b590ec1c44f6ef44. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 72a456e6ccf0e68d10f69157b590ec1c44f6ef44. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/alinaqi/maggy
Pinned skill file
View source at revision
Revision
72a456e6ccf0e68d10f69157b590ec1c44f6ef44
Package hash
sha256:692ba53795ada25789f7c7b8255bdd7d0dc99a6746407180255643716b79ed68
Licence
MIT