Skill profile

paper-glossary

Use when building reusable Obsidian glossary notes from an existing paper source manifest.

What this skill does for you

Use when building reusable Obsidian glossary notes from an existing paper source manifest, optionally with a raw-sections override, especially when a reader needs a reviewed shortlist before glossary notes and article links are changed.

Quoted from the skill description in the pinned source

Who made it

Publisher917dhj

Repositorydeeppapernote

Installs358as 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 paper-glossary skill from 917dhj/deeppapernote.

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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: 1c5aac5bc2c92eeeb038cf0626e36a1340fa4dee. Raw findings: 2. 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: 1c5aac5bc2c92eeeb038cf0626e36a1340fa4dee. Raw findings: 3. 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: 1c5aac5bc2c92eeeb038cf0626e36a1340fa4dee. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/917dhj/deeppapernote
Pinned skill file: View source at revision
Revision: 1c5aac5bc2c92eeeb038cf0626e36a1340fa4dee
Package hash: sha256:5494af05c516c5fac6b5fe9409a9e006f356fc2a11d2245d7f3beab2571558b7
Licence: MIT