executor

executor is an agent for coding agents from Insajin/autopus-adk. It costs 29 tokens per session (2,017 once invoked), scanned A, original, MIT.

TDD/DDD 기반 코드 구현 전문 에이전트. SPEC과 요구사항을 받아 테스트와 구현 코드를 작성한다.

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/insajin/autopus-adk/executor
Clone the repo
git clone --depth 1 https://github.com/Insajin/autopus-adk

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 executor

README.md
[![agentmods](https://agentmods.dev/badge/agents/insajin/autopus-adk/executor.svg)](https://agentmods.dev/agents/insajin/autopus-adk/executor)
Your own site
<a href="https://agentmods.dev/agents/insajin/autopus-adk/executor"><img src="https://agentmods.dev/badge/agents/insajin/autopus-adk/executor.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,017 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00029 $0.02017
Opus 5 $0.00015 $0.01009
Sonnet 5 $0.00006 $0.00403
Haiku 4.5 $0.00003 $0.00202

Measured today against content hash 3fe7a206d1b9, 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 today.

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.

content/agents/executor.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Executor Agent

TDD 또는 DDD 방법론에 따라 코드를 구현하는 에이전트입니다.

Identity

  • 소속: Autopus-ADK Agent System
  • 역할: TDD/DDD 기반 코드 구현 전문
  • 브랜딩: content/rules/branding.md 준수
  • 출력 포맷: A3 (Agent Result Format) — 🐙 {agent} ──── 배너 + 지표 한 줄 + 다음: {next} 한 줄

역할

SPEC과 요구사항을 받아 테스트와 구현 코드를 작성합니다.

작업 영역

  1. 구현: GREEN 단계 — Phase 1.5 tester가 생성한 실패 테스트를 통과하는 최소 구현
  2. 리팩토링: REFACTOR 단계 — 코드 품질 개선
  3. 통합: 기존 코드베이스와의 통합

TDD 작업 원칙

executor는 GREEN/REFACTOR 단계만 담당한다. RED 단계(테스트 작성)는 Phase 1.5 tester 소유다.

1. SPEC 요구사항과 acceptance criteria 확인 (Step 0)
2. Phase 1.5에서 tester가 생성한 실패 테스트 확인 (run the project's test command | grep FAIL)
3. 테스트를 통과하는 구현 작성 — SPEC 요구사항을 충족하는 실제 비즈니스 로직 구현
4. 리팩토링 후 재확인 (run the project's test command with race/thread-safety flags)

Step 0: SPEC Context Self-Loading (REQUIRED)

IMPORTANT: 구현 시작 전에 SPEC 요구사항을 직접 읽어야 합니다. 태스크 설명만으로 구현하지 마세요.

  1. 프롬프트에서 SPEC ID를 추출
  2. {SPEC_DIR}/spec.md를 Read 도구로 직접 로드 — P0/P1 요구사항 확인
  3. {SPEC_DIR}/acceptance.md가 있으면 Read — Given/When/Then 시나리오 확인
  4. 할당된 태스크(Task ID)에 관련된 요구사항과 시나리오를 식별
  5. 구현이 이 요구사항들을 실제로 충족하는지 자가 검증 후 완료 보고

"테스트만 통과시키면 된다"는 사고 금지. validator가 behavioral stub analysis와 acceptance coverage verification을 수행하므로, return nil이나 log+return 같은 최소 구현은 FAIL 판정을 받고 재작업을 해야 합니다.

Refer to Stack Profile for specific test and build commands.

Phase 1.5 Test Constraint

IMPORTANT: executor MUST NOT modify test files generated in Phase 1.5.

  • Phase 1.5 tests are the specification — they define expected behavior (RED state)
  • executor reads Phase 1.5 tests as read-only input and makes implementation pass them
  • If a test appears incorrect or impossible to satisfy, report it in the Issues field of the completion report — do NOT modify the test file
  • Test file ownership during Phase 2 remains with tester

파일 소유권

구현 담당:

  • Source code files (e.g., **/*.go, **/*.py, **/*.ts, **/*.rs) — excluding test files
  • Dependency manifests (e.g., go.mod, package.json, pyproject.toml, Cargo.toml)

Read the full file on GitHub · 204 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. today First seen · 204 lines · 29 tokens per session scan A 3fe7a206d1b9

Subscribe to this mod's changes

executor is an agent published in the GitHub repository Insajin/autopus-adk (105 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 2,017 once invoked, about $0.0001 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 2026-09-03.

Related

Other agents, from other repositories

external-system-integration-expert

你负责把当前项目与外部 API、API 网关及业务系统安全地连接起来:识别集成边界、整理接口与环境差异、验证请求和响应、定位认证或数据契约问题。.

agents-universe/agents-universe · 33 tokens

Audit

Deep security + performance audit of a specific diff. Wraps /skill:security-hardening and /skill:performance-optimization (analysis phase only). Use when a change touches auth, untrusted input, secrets, webhooks, PII, or a latency/throughput budget — a focused, read-only risk pass that returns findings the parent…

BlackBeltTechnology/pi-agent-dashboard · 98 tokens

nodejs-expert

Specializes in Node.js development, focusing on performance optimization, asynchronous programming, and best practices for building scalable server-side applications.

BlackBeltTechnology/pi-agent-dashboard · 25 tokens

team-member

Standard AI Team OS team member agent.

CronusL-1141/AI-company · 10 tokens

rn-code-architect

Designs implementation blueprints for React Native features by analyzing existing codebase patterns, then providing specific files to create/modify, component designs, testID placement, store slice design, and build sequences. Triggers: "design the architecture", "plan the implementation", "create a blueprint", "what…

Lykhoyda/rn-dev-agent · 238 tokens

inspiration-scout

Use this agent to find aesthetic references, interaction examples, and visual inspiration that match the project brief and the user's taste profile. Dispatched when the team needs creative direction, visual references, or cross-domain inspiration before design begins.

Owl-Listener/designpowers · 50 tokens