forgotten-elements-reminder

Automatically reminds when important story elements (characters.

What this skill does for you

Automatically reminds when important story elements (characters, plot lines, foreshadowing) haven't appeared for 10+ chapters - prevents 'disappeared character syndrome' and dropped plot threads in long-form fiction

Quoted from the skill description in the pinned source

Who made it

Publisherwordflowlab

Repositorynovel-writer-skills

Installs301as 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 forgotten-elements-reminder skill from wordflowlab/novel-writer-skills.

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: 5bc9b373ff609e8910e0e8d179e4a697bf2b1268. 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: 5bc9b373ff609e8910e0e8d179e4a697bf2b1268. 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: 5bc9b373ff609e8910e0e8d179e4a697bf2b1268. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/wordflowlab/novel-writer-skills
Pinned skill file: View source at revision
Revision: 5bc9b373ff609e8910e0e8d179e4a697bf2b1268
Package hash: sha256:98963d56a9a689a4524a9a088e40d5b2d253e017e676098c1d794c4b8f856f35
Licence: MIT