fleet-cli CLAUDE.md

A project instruction guide for fleet-cli, a command-line program intended to coordinate and monitor multiple drones. It explains that the current code is still a general agent template and does not yet contain drone features.

In plain words
What is it for?
It helps agents understand the existing CLI scaffold, preserve its contracts, and add future drone commands in the expected locations.
Why use it?
It separates the project's future drone goal from what the code actually supports today, reducing incorrect assumptions during development.

Instructions file

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 instructions/agentculture/fleet-cli/claude-md
Clone the repo
git clone --depth 1 https://github.com/agentculture/fleet-cli
Per session 3,893 This file is loaded in full into every session.
When invoked 3,893 The same file — it is already loaded in full.
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 $0.03893 $0.03893
Opus 5 $0.01946 $0.01946
Sonnet 5 $0.00779 $0.00779
Haiku 4.5 $0.00389 $0.00389

Measured yesterday against content hash e09770b80dbd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fleet-cli CLAUDE.md 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.

CLAUDE.md · 266 lines

How it starts

The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

What this repo actually is

fleet-cli is an AgentCulture mesh agent, scaffolded from the culture-agent-template. Two things are true at once, and you must hold both:

  • Stated domain (the goal): "Agent and CLI to control a fleet of drones (multiple UAVs), built on drone-cli — coordinate, command, and monitor many drones at once." This is the agent's identity and the direction of future work.
  • Actual code today (the reality): a generic agent-first CLI scaffold — identity/introspection verbs (whoami, learn, explain, overview, doctor, cli) plus the vendored AgentCulture skill kit. No drone / UAV / drone-cli functionality exists yet. The CLI's own self-description still reads "a clonable template for AgentCulture mesh agents" (see learn.py, explain/catalog.py, README.md).

When you add the drone-fleet functionality, you are specializing the scaffold: add new noun groups under fleet/cli/_commands/, give them catalog entries, and update the self-description strings — all while preserving the contracts below. Do not invent drone behavior that isn't asked for, and don't assume any drone plumbing is present.

Commands

uv sync                                   # install deps into .venv (uses uv.lock)

# Run the CLI — the console script is `fleet`, NOT `fleet-cli` (see gotcha below)
uv run fleet whoami
uv run python -m fleet whoami             # equivalent
uv run fleet learn --json                 # every verb supports --json

# Tests
uv run pytest -n auto                     # full suite, parallel (xdist)
uv run pytest tests/test_cli.py::test_whoami_text   # a single test
uv run pytest -n auto --cov=fleet --cov-report=term # with coverage (CI gate: fail_under=60)

# Lint / format (exactly what the CI `lint` job runs)
uv run black --check fleet tests          # line length 100
uv run isort --check-only fleet tests     # black profile
uv run flake8 fleet tests                 # max-line-length 100, ignores E203/W503
uv run bandit -c pyproject.toml -r fleet
markdownlint-cli2 "**/*.md" "#node_modules" "#.local" "#.claude/skills" "#.teken"
uv run teken cli doctor . --strict        # the agent-first rubric gate (see below)

Read the full file on GitHub · 266 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 · 266 lines · 3,893 tokens per session scan A e09770b80dbd

Subscribe to this mod's changes

fleet-cli CLAUDE.md is an instructions file published in the GitHub repository agentculture/fleet-cli (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 3,893 tokens to every session, about $0.0195 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 2026-08-31.

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