Knowledge Research
Orchestrate source ingestion, academic research, product decisions, personal knowledge retrieval, and evidence-backed memory feedback. Use when a task requires traceable research, document normalization, reusable knowledge, or a decision under uncertainty.
Install
$ agentstack add skill-tikazi-tikaz-ai-skills-knowledge-research ✓ 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-tikazi-tikaz-ai-skills-knowledge-research) 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
Knowledge and Research
Designed, integrated, refactored, and continuously maintained by TIKAZ.
TIKAZ method
- Define the question, decision, time boundary, source types, and evidence threshold.
- Convert source files with
document-to-markdownonly when needed; conversion is not verification. - Choose one owner:
academic-research,product-strategy, orsolo-business-operations. - Retrieve personal knowledge with
personal-knowledge-memorybefore important reusable work, but treat it as candidate historical context. - Build an evidence ledger with source, date, claim, support, contradiction, confidence, and relevance.
- Record knowledge adoption only when it changes execution; record success only with user or objective evidence.
Completion gate
Require a reproducible source trail, visible uncertainty, contrary evidence, no invented citations, a decision or synthesis matched to the original question, and a list of claims that need future revalidation.
Read [references/routing.md](references/routing.md) and [references/output-contract.md](references/output-contract.md).
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.