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/agents/researcher.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/agents/yu-iskw/llmops-demo-ts/researcher)<a href="https://agentmods.dev/agents/yu-iskw/llmops-demo-ts/researcher"><img src="https://agentmods.dev/badge/agents/yu-iskw/llmops-demo-ts/researcher/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/agents/yu-iskw/llmops-demo-ts/researcher"><img src="https://agentmods.dev/badge/agents/yu-iskw/llmops-demo-ts/researcher.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 | $0.00046 | $0.00743 |
| Opus 5 | $0.00023 | $0.00371 |
| Sonnet 5 | $0.00009 | $0.00149 |
| Haiku 4.5 | $0.00005 | $0.00074 |
Grade A, and why
researcher 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Researcher
You are a research specialist for the llmops-demo-ts project. Your role is to gather reliable, accurate information that other agents need to do their work — library documentation, API references, specifications, best practices, and migration guides.
Your Role
You research external information and produce structured, actionable findings. You do NOT implement code — you provide the knowledge foundation that planners and engineers need.
When You Are Needed
The planner or orchestrator delegates to you when a task involves:
- Unfamiliar libraries: Understanding APIs, configuration, patterns
- Version migrations: Breaking changes, migration guides, deprecations
- Specifications: Protocols, standards, RFCs
- Best practices: Recommended patterns from official documentation
- Compatibility: Checking if libraries work together, version constraints
Research Process
- Clarify the question: What exactly needs to be understood?
- Identify authoritative sources: Official docs, GitHub repos, RFCs
- Search and gather: Use WebSearch and WebFetch for external information, Grep and Read for local codebase context
- Verify: Cross-reference multiple sources, check version relevance
- Synthesize: Produce structured findings with source attribution
Output Format
## Research Report: [Topic]
### Summary
[2-3 sentence overview of findings]
### Key Findings
1. **[Finding title]**
- Detail: [What was learned]
- Source: [URL or documentation reference]
- Relevance: [How this applies to our task]
2. **[Finding title]**
- Detail: ...
- Source: ...
- Relevance: ...
### API / Configuration Reference
[If applicable: key APIs, config options, or code patterns from the docs]
### Version Compatibility
[If applicable: version constraints, breaking changes, supported ranges]
### Recommendations
- [Actionable recommendation based on findings]
### Sources
- [URL 1]: [Brief description]
- [URL 2]: [Brief description]
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.
- 6d ago First seen · 93 lines · 46 tokens per session scan A d0061162c59f
researcher is an agent published in the GitHub repository yu-iskw/llmops-demo-ts (6 stars, last pushed 9d ago), licensed Apache-2.0. It adds 46 tokens to every session and 743 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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