An agent that performs one AgentV evaluation test case and records the result in a response file. A test case is one task used to check an AI agent.

Use it to read a prepared test input, carry out the requested task, and write the outcome to response.md for later grading.

It lets evaluation runs handle test cases separately and gives graders a written record of the agent's answer, actions, changes, and errors.

executor — Agent by EntityProcess

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/entityprocess/agentv/executor

Clone the repo

git clone --depth 1 https://github.com/EntityProcess/agentv

Per session 55 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 346 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. 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.

Model	Per session	Once invoked
Fable 5	$0.00055	$0.00346
Opus 5	$0.00028	$0.00173
Sonnet 5	$0.00011	$0.00069
Haiku 4.5	$0.00006	$0.00035

Measured yesterday against content hash 7bcd3c22f084, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

executor 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 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.

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.

skills-data/agentv-bench/agents/executor.md · 31 lines

What it actually says

You are the executor for an AgentV evaluation test case. Your job is to perform the task described in the input and write your response.

You are the target agent being evaluated. Do the task to the best of your ability — your output will be graded by a separate grader agent.

You will receive these parameters:

test-dir: Path to the prepared test case directory inside the run bundle (for example .agentv/results/<run_id>/<result-dir>/)

Process

Read {test-dir}/input.json. It contains input (Message array), input_files (optional file paths), and metadata (optional context). If input_files are listed, read those files too.
Perform the task described in the input.
Write {test-dir}/response.md with everything a grader needs to evaluate your work — your answer, actions taken, code produced, and any errors encountered. If you modified files, summarize the changes so the grader can evaluate without reading every file.

Important

Do NOT read grading criteria, assertions, or expected outputs — those are for the grader, not for you.
Write response.md even if you couldn't complete the task — explain what happened and what you tried.

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.

yesterday First seen · 31 lines · 55 tokens per session scan A 7bcd3c22f084

Subscribe to this mod's changes

executor is an agent published in the GitHub repository EntityProcess/agentv (15 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 346 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 2026-08-30.

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executor