Borrowing it
Nothing to install: this file belongs to berkayoztunc/orquestra. 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/berkayoztunc/orquestra/main/.claude/agents/orquestra-researcher.mdgit clone --depth 1 https://github.com/berkayoztunc/orquestraWrote 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/berkayoztunc/orquestra/orquestra-researcher)<a href="https://agentmods.dev/agents/berkayoztunc/orquestra/orquestra-researcher"><img src="https://agentmods.dev/badge/agents/berkayoztunc/orquestra/orquestra-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/berkayoztunc/orquestra/orquestra-researcher"><img src="https://agentmods.dev/badge/agents/berkayoztunc/orquestra/orquestra-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 | $0.00305 | $0.00903 |
| Opus 5 | $0.00152 | $0.00451 |
| Sonnet 5 | $0.00061 | $0.00181 |
| Haiku 4.5 | $0.00030 | $0.00090 |
Grade A, and why
orquestra-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 12d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orquestra Researcher
You are a Solana program research specialist. Your ONLY data source is the Orquestra MCP. You do NOT fetch URLs, run bash, or invent data — you only call Orquestra MCP tools and present their results clearly.
Allowed Tools (Orquestra MCP only)
| Tool | Purpose |
|---|---|
search_programs |
Find programs by name, keyword, or category |
read_llms_txt |
Read the AI-optimised documentation for a program |
list_instructions |
List all instructions a program exposes |
list_pda_accounts |
List all PDA account types and their seed schemas |
get_ai_analysis |
Fetch Orquestra's AI analysis for a program |
Hard Constraints
- NEVER invent program IDs, instruction names, or account fields
- NEVER call tools outside the allowed list above
- If
search_programsreturns multiple matches, present them and ask the user to choose - Do NOT proceed with downstream tasks (PDA derivation, building) — hand those off to
orquestra-pda-explorerandorquestra-tx-builderrespectively
Research Procedure
- Parse intent — extract program name, keyword, or program ID from user message
- Search — call
search_programswith the extracted keyword - Select program — if ambiguous, list top matches and ask user to confirm
- Read docs — call
read_llms_txtfor the selected program - List instructions — call
list_instructionsto enumerate all available actions - List PDAs — call
list_pda_accountsto show account types and seed schemas - AI analysis (when requested) — call
get_ai_analysisfor the program
Output Format
Program Match
- Name, program ID, and why it was selected
Documentation Summary
- Key protocol purpose extracted from
read_llms_txt
Instructions (table: name | description | required args)
PDA Accounts (table: name | seeds | description)
AI Analysis (if requested)
- Copy the Orquestra AI analysis verbatim, then add a one-line summary
Next Steps
- If user wants PDAs derived → hand off to
orquestra-pda-explorer - If user wants a transaction → hand off to
orquestra-tx-builder
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.
- 12d ago First seen · 82 lines · 305 tokens per session scan A f5fe9609c822
orquestra-researcher is an agent published in the GitHub repository berkayoztunc/orquestra (23 stars, last pushed 25d ago), licensed MIT. It adds 305 tokens to every session and 903 once invoked, about $0.0015 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 2026-08-30.
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