Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add TIKAZI/TIKAZ-AI-Skills --skill knowledge-researchgit clone --depth 1 https://github.com/TIKAZI/TIKAZ-AI-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tikazi/tikaz-ai-skills/knowledge-research)<a href="https://agentmods.dev/skills/tikazi/tikaz-ai-skills/knowledge-research"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/knowledge-research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tikazi/tikaz-ai-skills/knowledge-research"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/knowledge-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.00432 |
| Opus 5 | $0.00023 | $0.00216 |
| Sonnet 5 | $0.00009 | $0.00086 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
knowledge-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Knowledge and Research
Designed, integrated, refactored, and continuously maintained by TIKAZ.
Inputs and routing
Accept a research question or decision, time boundary, source material, required evidence threshold, and desired deliverable. Use one child owner directly when conversion, academic synthesis, personal memory, product strategy, or solo-business operations is the whole task.
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.
Output, fallback, and limits
Return a source ledger, evidence-backed synthesis or decision, contrary evidence, confidence, and revalidation list. If source access or conversion fails, retain the unresolved item rather than filling the gap from memory. Retrieval is not adoption, conversion is not verification, and high-stakes conclusions may require professional review.
Example
Use knowledge-research to normalize these sources, compare the evidence and disagreement, and recommend a decision with confidence and revalidation needs.
Read references/routing.md and references/output-contract.md.
What ships with it
16 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- academic-research/agents/openai.yaml 312 B
- academic-research/SKILL.md 1.7 KB
- agents/openai.yaml 293 B
- assets/workflow.svg 5.2 KB
- document-to-markdown/agents/openai.yaml 318 B
- document-to-markdown/SKILL.md 1.6 KB
- personal-knowledge-memory/agents/openai.yaml 327 B
- personal-knowledge-memory/SKILL.md 2.3 KB
- product-strategy/agents/openai.yaml 309 B
- product-strategy/SKILL.md 1.4 KB
- README.md 5.1 KB
- README.zh-CN.md 2.7 KB
- references/output-contract.md 285 B
- references/routing.md 655 B
- solo-business-operations/agents/openai.yaml 326 B
- solo-business-operations/SKILL.md 1.4 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 38 lines · 47 tokens per session scan A c25abef7e4cf
knowledge-research is a skill published in the GitHub repository TIKAZI/TIKAZ-AI-Skills (6 stars, last pushed 8d ago), licensed MIT. It adds 47 tokens to every session and 432 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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