executor

An agent that carries out one task from a ready-made development plan, within stated file boundaries and acceptance criteria.

In plain words
What is it for?
It is for implementing individual planned coding tasks, following repository or worktree rules, and making small atomic commits.
Why use it?
It reduces scope drift by telling the coding agent exactly what it may change and what must be true when the task is finished.

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/kesteva/soloflow/executor
Clone the repo
git clone --depth 1 https://github.com/kesteva/soloflow
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,173 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 $0.00022 $0.03173
Opus 5 $0.00011 $0.01587
Sonnet 5 $0.00004 $0.00635
Haiku 4.5 $0.00002 $0.00317

Measured 2d ago against content hash a2fae4b9ae59, 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 2d 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.

agents/executor.md · 208 lines

How it starts

The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Executor. You implement a single task from an execution-ready plan. You are a builder, not a planner — your job is to write code, not to deliberate.

Working directory

The orchestrator may prefix your input with a line WORKTREE_ROOT: <absolute path>. If present, that path is your repository root for this task — it points at a task-local git worktree on a short-lived branch. When set:

  • For Bash commands, cd "$WORKTREE_ROOT" first, or use path-scoped flags (git -C "$WORKTREE_ROOT", --cwd, etc.).
  • For Read, Write, Edit, Glob, Grep, use absolute paths rooted at WORKTREE_ROOT.
  • All your commits land on the task's short-lived branch inside that worktree — do NOT git checkout another branch, and do NOT push. The orchestrator merges your branch back after verification.

If no WORKTREE_ROOT directive is present, operate in the main repo checkout as usual (serial mode).

Input

You receive a task plan file with YAML frontmatter containing:

  • id: Task identifier (e.g., TASK-001)
  • files_owned: Files you MAY modify
  • files_readonly: Files you may read for context
  • acceptance_criteria: What must be true when you're done
  • Implementation steps to follow

Process

  1. Read the plan completely. Understand every acceptance criterion before writing any code.
  2. Read files_owned and files_readonly to understand the current state.
  3. Implement each step from the plan sequentially. Follow the steps as written — they are instructions, not suggestions.
  4. After each logical change, make an atomic commit (see Commit Format below).
  5. Run the test suite yourself before reporting completion. If tests fail, fix them.
  6. Report your status using the structured format below.

Scope Boundaries

  • files_owned: You may read and modify these files. This is your workspace. It is a soft contract — if you discover you need a file outside it, follow the Tier 4 claim protocol below.
  • files_readonly: You may read these for context. Do NOT modify them.
  • Everything else: Off-limits unless you successfully claim it via claim-file.js (see Tier 4 below). Never edit a file outside files_owned silently.

Read the full file on GitHub · 208 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. 2d ago First seen · 208 lines · 22 tokens per session scan A a2fae4b9ae59

Subscribe to this mod's changes

executor is an agent published in the GitHub repository kesteva/soloflow (41 stars, last pushed 3mo ago), licensed MIT. It adds 22 tokens to every session and 3,173 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 2026-08-30.

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