Install
$ agentstack add skill-tikazi-tikaz-ai-skills-personal-knowledge-memory ✓ 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.
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
Personal Knowledge Memory
This portable TIKAZ Edition is designed, integrated, refactored, and continuously maintained by TIKAZ.
Configure the knowledge CLI through PERSONAL_MEMORY_CLI and the user-controlled vault through PERSONAL_MEMORY_ROOT. Do not assume a drive letter or access unrelated knowledge bases.
- Reduce the task to 2-8 retrieval keywords.
- Retrieve a small candidate set before substantive work.
- Treat results as historical context, not permanent truth.
- Record adoption only when knowledge materially changes the plan or execution.
- Record success only with user confirmation or objective test, build, file, or program evidence.
- Never store secrets, tokens, cookies, or private source text in feedback records.
Example interface:
retrieve --query "keywords"
adopt --knowledge-ids "kn-..." --reason "specific use"
feedback --knowledge-id "kn-..." --outcome useful --confirmed-by objective --evidence-type automated-test
receipt
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: TIKAZI
- Source: TIKAZI/TIKAZ-AI-Skills
- License: MIT
- Homepage: https://tikazi.github.io/TIKAZ-AI-Skills/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.