Memory Extractor
Extract durable memories from recent conversation turns into user, feedback, project, and reference categories while avoiding stale code-state facts.
Install
$ agentstack add skill-learnprompt-cc-harness-skills-memory-extractor ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-learnprompt-cc-harness-skills-memory-extractor) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Memory Extractor
Use this skill when you want to persist durable collaboration context from the latest conversation turns.
Use It For
- capturing user preferences
- saving feedback about how to work
- recording non-code project constraints or deadlines
- storing pointers to external systems
Avoid It For
- storing code structure or file locations
- saving short-lived task state that belongs in a plan
- duplicating an existing memory topic without checking first
Quick Start
Build a manifest of existing memories:
python3 {baseDir}/scripts/memory_manifest.py --memory-root /path/to/memoryThen use the portable prompt in [references/prompt-template.md](./references/prompt-template.md).
Four Types
userfeedbackprojectreference
Rules
- save only durable signals
- avoid code-state facts that can drift
- prefer updating an existing topic file
- organize by topic, not chronology
Supporting Files
- Prompt template: [references/prompt-template.md](./references/prompt-template.md)
- Source notes: [references/source-notes.md](./references/source-notes.md)
- Helper script:
python3 {baseDir}/scripts/memory_manifest.py ...
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: LearnPrompt
- Source: LearnPrompt/cc-harness-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.