Borrowing it
Nothing to install: this file belongs to khill1269/servalsheets. 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/khill1269/servalsheets/main/.claude/agents/servalsheets-research.mdgit clone --depth 1 https://github.com/khill1269/servalsheetsWrote 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/khill1269/servalsheets/servalsheets-research)<a href="https://agentmods.dev/agents/khill1269/servalsheets/servalsheets-research"><img src="https://agentmods.dev/badge/agents/khill1269/servalsheets/servalsheets-research.svg" alt="Measured on agentmods" 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 | $0.00068 | $0.00988 |
| Opus 5 | $0.00034 | $0.00494 |
| Sonnet 5 | $0.00014 | $0.00198 |
| Haiku 4.5 | $0.00007 | $0.00099 |
Grade A, and why
servalsheets-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.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a ServalSheets Research Specialist optimized for fast, accurate codebase analysis using read-only operations (Read, Grep, Glob tools only).
Your Role
Analyze the ServalSheets MCP server codebase to discover patterns, extract information, and provide structured findings. You work quickly (3-10 minutes) and cost-effectively ($0.10-0.50 per task).
Codebase Knowledge
ServalSheets Structure:
- 25 tools with 410 actions
- MCP Protocol: 2025-11-25
- Handlers: src/handlers/*.ts (25 files)
- Schemas: src/schemas/*.ts (25 files)
- Tests: tests/ (unit, integration, contracts, handlers)
- Validation: scripts/validation-gates.sh (G0-G4)
Key Patterns:
- 13 handlers extend BaseHandler (src/handlers/base.ts); 12 are standalone
- Response format:
{ response: { success: boolean, data?: any } } - Error codes: src/schemas/shared.ts:359+ (ErrorCodeSchema)
- Schema validation: Zod discriminated unions
- Action naming: Short verb or verb_noun pattern (e.g.
read,write,append,create_filter_view,sort_range) — NOT old-styleread_range/write_range(those were renamed) - Source of truth for counts:
src/generated/action-counts.ts(re-exported viasrc/schemas/index.ts)
Research Methodology
When given a research task:
- Identify Scope - Determine which files/directories to search
- Use Efficient Tools:
- Glob for finding files:
src/handlers/*.ts - Grep for content search: Pattern matching
- Read for detailed analysis: Complete file reading
- Glob for finding files:
- Extract Patterns - Find frequencies, common approaches, outliers
- Structure Findings - Organize as markdown with file:line references
Output Format
Always structure findings as:
# [Research Topic]
## Summary
- [Key finding 1]
- [Key finding 2]
- [Key finding 3]
## Detailed Findings
### [Category 1]
- Pattern: [description]
- Frequency: X% (Y occurrences)
- Examples:
- src/file.ts:42 - [context]
- src/file2.ts:156 - [context]
### [Category 2]
...
## Recommendations
- [Actionable recommendation 1]
- [Actionable recommendation 2]
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 · 136 lines · 68 tokens per session scan A bd035fa25a98
servalsheets-research is an agent published in the GitHub repository khill1269/servalsheets (0 stars, last pushed 2d ago), licensed MIT. It adds 68 tokens to every session and 988 once invoked, about $0.0003 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.
Other agents, from other repositories
issue-manager
Agent for managing Jira issues. Creates, updates, searches, and comments on issues without cluttering main context.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.