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SKILL verified MIT Self-run

Personal Knowledge Memory

skill-tikazi-tikaz-ai-skills-personal-knowledge-memory · by TIKAZI

Retrieve relevant personal project decisions, playbooks, knowledge, skills, and verified outcomes before important work, then record only knowledge that materially affected the result. Use for reusable personal workflows backed by a user-controlled knowledge base.

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Install

$ agentstack add skill-tikazi-tikaz-ai-skills-personal-knowledge-memory

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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 →
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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.

  1. Reduce the task to 2-8 retrieval keywords.
  2. Retrieve a small candidate set before substantive work.
  3. Treat results as historical context, not permanent truth.
  4. Record adoption only when knowledge materially changes the plan or execution.
  5. Record success only with user confirmation or objective test, build, file, or program evidence.
  6. 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.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.