Borrowing it
Nothing to install: this file belongs to agentculture/fleet-cli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/agentculture/fleet-cli/main/CLAUDE.mdgit clone --depth 1 https://github.com/agentculture/fleet-cliWrote 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.
[](https://agentmods.dev/instructions/agentculture/fleet-cli/claude-md)<a href="https://agentmods.dev/instructions/agentculture/fleet-cli/claude-md"><img src="https://agentmods.dev/badge/instructions/agentculture/fleet-cli/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/agentculture/fleet-cli/claude-md"><img src="https://agentmods.dev/badge/instructions/agentculture/fleet-cli/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.03893 | $0.03893 |
| Opus 5.5 | $0.01557 | $0.01557 |
| Sonnet 5.5 | $0.00779 | $0.00779 |
| Haiku 4.5 | $0.00389 | $0.00389 |
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 2mo 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.
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-clifunctionality exists yet. The CLI's own self-description still reads "a clonable template for AgentCulture mesh agents" (seelearn.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)
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.
- 2mo ago First seen · 266 lines · 3,893 tokens per session scan A e09770b80dbd
fleet-cli CLAUDE.md is an instructions file published in the GitHub repository agentculture/fleet-cli (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 3,893 tokens to every session, about $0.0156 per session on Opus 5.5. 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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