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.
npx agentmods add commands/machinewisdomai/fava-trails/overviewgit clone --depth 1 https://github.com/MachineWisdomAI/fava-trailsWrote 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/commands/machinewisdomai/fava-trails/overview)<a href="https://agentmods.dev/commands/machinewisdomai/fava-trails/overview"><img src="https://agentmods.dev/badge/commands/machinewisdomai/fava-trails/overview.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00671 |
| Opus 5 | $0.00000 | $0.00336 |
| Sonnet 5 | $0.00000 | $0.00134 |
| Haiku 4.5 | $0.00000 | $0.00067 |
Grade A, and why
overview 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 5d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codev CLI Command Reference
Codev provides three CLI tools for AI-assisted software development:
| Tool | Description |
|---|---|
codev |
Project setup, maintenance, and framework commands |
af |
Agent Farm - multi-agent orchestration for development |
consult |
AI consultation with external models (Gemini, Codex, Claude) |
Quick Start
# Create a new project
codev init my-project
# Or add codev to an existing project
codev adopt
# Check your environment
codev doctor
# Start the workspace
af workspace start
# Consult an AI model about a spec
consult -m gemini --protocol spir --type spec
Installation
npm install -g @cluesmith/codev
This installs all three commands globally: codev, af, and consult.
Command Summaries
codev - Project Management
| Command | Description |
|---|---|
codev init [name] |
Create a new codev project |
codev adopt |
Add codev to an existing project |
codev doctor |
Check system dependencies |
codev update |
Update codev templates and protocols |
codev import <source> |
AI-assisted protocol import from other projects |
See codev.md for full documentation.
af - Agent Farm
| Command | Description |
|---|---|
af workspace start |
Start the workspace |
af workspace stop |
Stop all agent farm processes |
af spawn |
Spawn a new builder |
af status |
Show status of all agents |
af cleanup |
Clean up a builder worktree |
af send |
Send instructions to a builder |
af open |
Open file annotation viewer |
af shell |
Spawn a utility shell |
af tower |
Cross-project dashboard |
See agent-farm.md for full documentation.
consult - AI Consultation
| Command | Description |
|---|---|
consult -m <model> --prompt "text" |
General consultation |
consult -m <model> --protocol spir --type spec |
Protocol-based review |
consult stats |
View consultation statistics |
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.
- 5d ago First seen · 97 lines · 0 tokens per session scan A 4847485250a4
overview is a command published in the GitHub repository MachineWisdomAI/fava-trails (25 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 671 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 2026-08-30.
Other commands, from other repositories
rebase
Fast-forward or rebase the current worktree's branch onto main. Deterministic script for the clean path; LLM steps in only to resolve real conflicts or ask you.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.