memory-forge-rs: Stop resetting satisfying AI chats — edit the memory instead

by voidcraft-dev · Claude Skill · ★ 491

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install memory-forge-rs

git clone https://github.com/voidcraft-dev/memory-forge-rs

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-toolsclaude-codecodexcursordesktop-appgemini-clikiro-clikiro-idememory-editingopencode

Quick Facts

Stars491
Forks54
LanguageRust
CategoryClaude Skill
LicenseMIT
Quality Score72/100
Last Updated2026-09-30
Created2026-04-13
Platformsclaude-code, cli, codex, gemini, rust
Est. Tokens~25k

About memory-forge-rs

Memory Forge RS Stop resetting satisfying AI chats. Edit the memory instead. 别重开了,直接改记忆。 English · 中文 The Problem You've spent 40 minutes guiding Claude Code through a complex refactor. It's going great — until the AI hallucinates a wrong assumption and spirals. Now every response builds on that mistake.

Compatible Skills

These tools work well together with memory-forge-rs for enhanced workflows:

  • cchub — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (57%)
  • roadmap-skill — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • opencode-mcp — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools