principle-minimize-reader-load

Apply when reviewing or shaping code that's hard to trace.

What this skill does for you

Apply when reviewing or shaping code that's hard to trace. Count layers between question and answer, and hidden state in the reader's head; collapse one-caller wrappers and shrink mutable scope.

Quoted from the skill description in the pinned source

Who made it

Publisherbacknotprop

Repositorypstack

Installs475as 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 principle-minimize-reader-load skill from backnotprop/pstack.

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: 157aae39a733135e93d8b5b19ff62c6a84b0ad56. 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: 157aae39a733135e93d8b5b19ff62c6a84b0ad56. 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: 157aae39a733135e93d8b5b19ff62c6a84b0ad56. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/backnotprop/pstack
Pinned skill file: View source at revision
Revision: 157aae39a733135e93d8b5b19ff62c6a84b0ad56
Package hash: sha256:cedcf2f5800801e3c96ab246c644c33101bd1efd3d8b1f1b4e82745967d8a7f8
Licence: MIT