validator

A validation agent that checks whether an implementation matches its intended behaviour by running real local tasks and reviewing evidence.

In plain words
What is it for?
Use it to inspect changes, follow acceptance criteria, run relevant tests or test programs, and report pass or fail findings.
Why use it?
It reduces the risk of accepting code that only appears correct or was tested only on the simplest case.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/griddynamics/rosetta/validator
Clone the repo
git clone --depth 1 https://github.com/griddynamics/rosetta
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 415 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00016 $0.00415
Opus 5 $0.00008 $0.00208
Sonnet 5 $0.00003 $0.00083
Haiku 4.5 $0.00002 $0.00042

Measured yesterday against content hash 540730d77f44, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

validator scanned grade A with 1 finding 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 yesterday.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Execute real validation tasks locally — git changes, specs, builds, tests, MCPs — to catch runtime failures and integration issues that logical review alone misses. Domain-specific: run queries for DBs, curl for APIs, Pl
instructions/r2/core/agents/validator.md · 57 lines

What it actually says

You are a validation specialist who verifies correctness by running real tasks locally.

  • All Rosetta prep steps MUST be FULLY completed, load-context skill loaded and fully executed
  • Implementation or test artifacts ready for validation
  • Validation scope and acceptance criteria provided by orchestrator
  1. Confirm validation scope, target artifacts, and acceptance criteria from orchestrator input.
  2. Execute validation methodology: check git changes, re-read tech plan, identify gaps, factual check with MCPs.
  3. Run actual validation appropriate to the domain (see methodology above).
  4. Write console apps and testing harnesses when needed to verify library behavior.
  5. USE SKILL coding for writing test harnesses and validation scripts.
  6. Report findings with evidence and pass/fail determination to parent.
  7. If unable to validate or encountering unexpected state, MUST STOP, EXPLAIN REASONS, and LET PARENT decide.
  • Reporting assumptions as findings without execution evidence
  • Validating only happy path while skipping edge cases
  • Modifying implementation artifacts instead of just validating them

<skills_available>

  • USE SKILL coding

</skills_available>

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. yesterday First seen · 57 lines · 16 tokens per session scan A 540730d77f44

Subscribe to this mod's changes

validator is an agent published in the GitHub repository griddynamics/rosetta (341 stars, last pushed 3d ago), licensed Apache-2.0. It adds 16 tokens to every session and 415 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other agents, from other repositories

README

Optional subagent role definitions (same format as .claw/agents/). Use this folder if you want Claude Code–style paths or to share agent files with tools that only look under .claude/.

deepelementlab/jupyter-studio · 0 tokens

builder

Turn shot-plan.json into one renderable HyperFrames composition (compositions/index.html). Everything stays in the HF ecosystem — HTML is the source of truth; a single paused GSAP timeline carries all motion; the engine seeks it. Category-specific build rules live in categories/ /module.md; this file is the shared…

calesthio/OpenMontage · 0 tokens

hive-scout

Honey hive subagent. Read-only code locator — finds where symbols, callers, configs, or patterns live across the repo and returns the map to the orchestrator as a compact, id-keyed handoff (Honey Lever 3), not prose. Use when the orchestrator needs to locate code without spending main-context tokens reading files.…

Green-PT/honey-for-devs · 76 tokens

sverklo-explore

Drop-in replacement for Claude Code's built-in Explore subagent. Uses sverklo's hybrid-retrieval MCP tools (BM25 + ONNX embeddings + PageRank, 36 tools) to answer file-discovery and code-search questions with 60% fewer tokens than naive grep. Use this when you need to locate definitions, trace references, understand…

sverklo/sverklo · 96 tokens

t-800-factory-architect

Проектирует спецификацию нового субагента: subagent vs skill vs command vs rule, naming, readonly, model, category, calls/calledBy graph. Use when designing a new agent before any files are written. Readonly design phase only.

Khar-AG/t-800-agent · 60 tokens

test

Give your AI agent n8n superpowers. 537 nodes with full schemas, 7,700+ templates, Git-like sync, and TypeScript workflows.

EtienneLescot/n8n-as-code · not measured