servalsheets: Agent for Claude Code

.claude/agents/servalsheets-validation.md

servalsheets-validation is an agent for Claude Code from khill1269/servalsheets. It costs 71 tokens per session (1,944 once invoked), scanned A, original, MIT.

Automated checks for the ServalSheets codebase, using a sequence of gates that inspect code, metadata, configuration, and tests.

In plain words
What is it for?
Run a quick baseline check, validate schema changes, or run the full gate pipeline to verify code quality and project consistency.
Why use it?
It finds broken checks, mismatched definitions, unfinished placeholders, and regressions before code is committed or a work phase is marked complete.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; positional $N argument.

This is khill1269/servalsheets's own configuration. It tells Claude Code how to work on servalsheets itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything servalsheets configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash scripts/validation-gates.sh.

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/khill1269/servalsheets/main/.claude/agents/servalsheets-validation.md
Clone the repo
git clone --depth 1 https://github.com/khill1269/servalsheets

Made for: Claude Code.

Wrote 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.

agentmods badge for servalsheets-validation

README.md
[![agentmods](https://agentmods.dev/badge/agents/khill1269/servalsheets/servalsheets-validation/github.svg)](https://agentmods.dev/agents/khill1269/servalsheets/servalsheets-validation)
Your own site
<a href="https://agentmods.dev/agents/khill1269/servalsheets/servalsheets-validation"><img src="https://agentmods.dev/badge/agents/khill1269/servalsheets/servalsheets-validation/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.

agentmods 80×15 button for servalsheets-validation

Your own site · 80×15
<a href="https://agentmods.dev/agents/khill1269/servalsheets/servalsheets-validation"><img src="https://agentmods.dev/badge/agents/khill1269/servalsheets/servalsheets-validation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,944 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.01944
Opus 5.5 $0.00028 $0.00778
Sonnet 5.5 $0.00014 $0.00389
Haiku 4.5 $0.00007 $0.00194

Measured 2mo ago against content hash 5300a7a37a92, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

servalsheets-validation 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 2mo 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.

.claude/agents/servalsheets-validation.md · 247 lines

How it starts

The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a ServalSheets Validation Specialist optimized for fast, automated code quality verification using the gate pipeline.

Your Role

Execute validation gates to verify code quality, metadata consistency, and test coverage. You work extremely fast (3-10 minutes) and cost-effectively ($0.10-0.50 per validation).

Three Gate Systems (Know Which to Use)

System 1: Quick Baseline — npm run gates

npm run typecheck && npm run test:run && npm run check:drift

Use for: Basic sanity check, rapid CI feedback.


System 2: Full 6-Gate Sequential Pipeline — bash scripts/validation-gates.sh

Run in order. Fail-fast on first gate failure.

G0: Baseline Integrity (~40s)

npm run typecheck
npm run lint
npm run check:placeholders
npm run check:silent-fallbacks
npm run check:debug-prints
npm run check:drift
npm run validate:server-json
npm run test:fast  # unit + contracts

G1: Metadata Consistency (~15s)

npm run validate:alignment       # Schema-handler alignment (25 tools)
npm run check:integration-wiring # Mutation action registration
npm run check:mutation-actions   # MUTATION_ACTION_NAMES consistency

Checks: Action count: 410, Tool count: 25 — source: src/generated/action-counts.ts

G2: Phase Behavior (~90s)

npm run test:services         # Service layer
npm run test:integration      # Cross-component
npm run test:compliance       # MCP compliance
npm run audit:memory          # Memory leak detection

G3: API/Protocol (~20s)

npm run validate:compliance   # API + MCP compliance
npm run validate:mcp-protocol # MCP 2025-11-25 spec checks
npm run check:mcp-features    # MCP feature coverage scan
npm run check:layers          # Architecture layer enforcement

G4: Final Truth (~30s)

npm run build                     # TypeScript build
npm run check:source-dist         # Source/dist consistency
npm run check:jwt-scope           # JWT scope security
npm run check:secrets             # No hardcoded secrets

Read the full file on GitHub · 247 lines

Changes

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.

  1. 2mo ago First seen · 247 lines · 71 tokens per session scan A 5300a7a37a92

Subscribe to this mod's changes

servalsheets-validation is an agent published in the GitHub repository khill1269/servalsheets (0 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 1,944 once invoked, about $0.0003 per session on Opus 5.5. 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.

Related

Other agents, from other repositories

test-case-result-validator

Compares old vs new instruction outputs against original codebase, scores 8 quality categories, emits pass/fail JSON verdict for CI/CD validation pipeline.

griddynamics/rosetta · 34 tokens

step-generator

Generate test steps from natural language descriptions. Use when: (1) User describes a test scenario in plain English, (2) Complex UI interactions need step-by-step breakdown, (3) User wants to add steps but doesn't know the exact format.

desplega-ai/qa-use · 53 tokens

test-analyzer

Deep analysis of E2E test failures and results. Use when: (1) A test has failed and needs root cause analysis, (2) User wants to understand why a step failed, (3) Complex multi-step failures need investigation.

desplega-ai/qa-use · 53 tokens

FAI Deterministic Agent Reviewer

Deterministic Agent reviewer — reproducibility testing, guardrail completeness audit, anti-sycophancy verification, schema validation review, and confidence calibration checks.

frootai/frootai · 39 tokens

FAI AI Search Portal Reviewer

AI Search Portal reviewer — index schema audit, search relevance testing, answer citation accuracy, facet UX review, and performance benchmarking.

frootai/frootai · 32 tokens

timps_red_team_agent

Plan and execute an OWASP-style red-team engagement: threat model, adversarial test cases, payloads, runnable exploit harness, and a remediation checklist. Use the timpsredteamagent MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.

Sandeeprdy1729/timps-swarm · 64 tokens