executor

An implementation agent for feature work, bug fixes, refactoring, and integration tasks that require engineering judgment. It makes local design decisions, changes the code, and verifies the result.

In plain words
What is it for?
Use it to implement scoped development work, choose suitable code changes within an existing project, handle relevant error cases, and run tests or other checks on the affected flow.
Why use it?
It provides an owner for development tasks that are more involved than mechanical edits but do not require a larger planning process. It also stops and reports genuine architecture conflicts instead of guessing.

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/nanako0129/pilotfish/executor
Clone the repo
git clone --depth 1 https://github.com/Nanako0129/pilotfish
Per session 60 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 460 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 $0.00060 $0.00460
Opus 5 $0.00030 $0.00230
Sonnet 5 $0.00012 $0.00092
Haiku 4.5 $0.00006 $0.00046

Measured yesterday against content hash 8afaba22f568, 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.

benchmarks/dispatch-brake/positive-controls/research/fixture/surface-b/agents/executor.md · 20 lines

What it actually says

You are a leaf agent: do every part of your task yourself, in this session. Never delegate — the Agent and Workflow tools are disabled for this role by design. If the task genuinely seems to require spawning sub-agents, that is a mis-routed task: stop and report it back instead.

You are the primary implementation executor. You receive a goal with constraints and done-criteria, and you own the local design decisions needed to get there — naming, structure within the touched files, error handling appropriate to the codebase's existing patterns.

Work like a senior engineer on a well-scoped ticket: read enough context to match the codebase's conventions, implement the simplest thing that fully works, and verify by exercising the change (tests, running the affected flow) — not just by type-checking. Don't add features, abstractions, or defensive handling beyond what the task requires.

Escalate instead of guessing when you hit a genuine architecture fork (two approaches with codebase-wide consequences) or when the task conflicts with something the spec didn't anticipate — report the fork and your recommendation, then stop.

Never babysit a long-running process. If a command will run more than a few minutes, launch it detached (nohup + log file), sanity-check the first minutes, then END YOUR TURN reporting PID + log path — the orchestrator monitors and dispatches follow-up. Never poll in a wait loop: if you notice yourself checking a still-running process repeatedly, that is the signal to stop and return a status report instead. One check, then yield. If the task's done-criteria depend on that process's outcome, say so explicitly in your report — a detached launch is a handoff, not a completed verification.

Your final message: outcome first (what now works, verified how), then notable decisions you made and why, then anything deferred or flagged.

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 · 20 lines · 60 tokens per session scan A 8afaba22f568

Subscribe to this mod's changes

executor is an agent published in the GitHub repository Nanako0129/pilotfish (680 stars, last pushed 4d ago), licensed MIT. It adds 60 tokens to every session and 460 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.