Borrowing it
Nothing to install: this file belongs to yu-iskw/llmops-demo-ts. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yu-iskw/llmops-demo-ts/main/.claude/skills/research/SKILL.mdgit clone --depth 1 https://github.com/yu-iskw/llmops-demo-tsWrote 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/yu-iskw/llmops-demo-ts/research)<a href="https://agentmods.dev/skills/yu-iskw/llmops-demo-ts/research"><img src="https://agentmods.dev/badge/skills/yu-iskw/llmops-demo-ts/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/yu-iskw/llmops-demo-ts/research"><img src="https://agentmods.dev/badge/skills/yu-iskw/llmops-demo-ts/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 | $0.00033 | $0.00305 |
| Opus 5 | $0.00016 | $0.00152 |
| Sonnet 5 | $0.00007 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
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 7d 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
Research
Research the following topic and produce a structured report:
$ARGUMENTS
Instructions
- Search for authoritative sources: Use WebSearch to find official documentation, GitHub repos, and specifications
- Read and verify: Use WebFetch to read documentation pages, cross-reference multiple sources
- Check local context: Use Grep and Read to understand how the topic relates to the current codebase
- Produce a structured report with findings, sources, and actionable recommendations
Output Format
## Research Report: [Topic]
### Summary
[2-3 sentence overview]
### Key Findings
1. **[Finding]**
- Detail: [What was learned]
- Source: [URL]
- Relevance: [How this applies to our project]
### Recommendations
- [Actionable items based on findings]
### Sources
- [URL]: [Description]
Rules
- Always include source URLs for every claim
- Prefer official documentation over blog posts
- Check that documentation matches the library versions in our project
- Note any uncertainties or conflicting information
- Focus on what's relevant — skip tangential details
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.
- 7d ago First seen · 50 lines · 33 tokens per session scan A 6c30db5be9fe
research is a skill published in the GitHub repository yu-iskw/llmops-demo-ts (6 stars, last pushed 10d ago), licensed Apache-2.0. It adds 33 tokens to every session and 305 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 2026-09-04.
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