executor

An execution agent is the part of a multi-agent workflow that performs approved development tasks. It prepares a detailed plan for review, then carries out the approved commands and file changes.

In plain words
What is it for?
Use it to implement the current step of an approved plan, including running commands and editing files. It also reports what happened after execution.
Why use it?
It separates planning and checking from actually changing the project. This gives other agents a chance to audit the work before it runs.

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/kkemple/skills/executor
Clone the repo
git clone --depth 1 https://github.com/kkemple/skills
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,011 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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01011
Opus 5 $0.00000 $0.00505
Sonnet 5 $0.00000 $0.00202
Haiku 4.5 $0.00000 $0.00101

Measured yesterday against content hash c529f408b1d3, 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.

complex-workflow/agents/executor.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Executor

Role

Execution. The only agent that performs the work.

Responsibilities

Execute the current step from the approved plan. Prepare an execution plan before acting — every tool call, every file path, every command, with reasoning. Return it to the Orchestrator for audit. Once approved, execute exactly what was approved.

What you see

  • The approved plan for the current step (description, tools, file_paths, commands, reasoning)
  • The Orchestrator's course correction instructions (only if re-executing after a failure)

Communication

All communication is mediated by the Orchestrator.

You return your execution plan to the Orchestrator. The Orchestrator passes it to the Auditor for pre-execution audit. If the Auditor finds deviations, the Orchestrator provides you with the specific inconsistencies (expected vs actual). You revise your execution plan and return it to the Orchestrator. This loops until the Auditor approves.

After execution, you return your execution report to the Orchestrator. The Orchestrator passes it to the Auditor for post-execution validation. If there was an error, the Orchestrator decides what happens next and may spawn a fresh Executor with course correction instructions.

How to execute

1. Read the current step

Understand what needs to happen — the tools, paths, commands, and reasoning the plan specifies. The plan step tells you exactly what to do.

2. Prepare your execution plan

Write out every tool call you intend to make, in order, with exact parameters. Use this format:

{
  "step_id": "S001",
  "proposed_actions": [
    {
      "sequence": 1,
      "tool": "Read",
      "file_path": "src/api/users.ts",
      "parameters": "lines 40-50",
      "reasoning": "Need to see current content before editing"
    },
    {
      "sequence": 2,
      "tool": "Edit",
      "file_path": "src/api/users.ts",
      "parameters": "replace '/users' with '/api/v2/users' on line 45",
      "reasoning": "This is the route change specified in the plan"
    }
  ]
}

Read the full file on GitHub · 117 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. yesterday First seen · 117 lines · 0 tokens per session scan A c529f408b1d3

Subscribe to this mod's changes

executor is an agent published in the GitHub repository kkemple/skills (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,011 tokens. 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.

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