amp

An Aigon coding-agent setup for managing software features from planning through completion. It provides commands for creating specifications, assigning priorities, working in branches or separate workspaces, reviewing code, and pushing changes.

In plain words
What is it for?
Use it to create, prioritise, implement, evaluate, review, close, and push Aigon features.
Why use it?
It gives feature work a defined process and requires a short implementation log, making progress and completion steps explicit.

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/jayvee/aigon/amp
Clone the repo
git clone --depth 1 https://github.com/jayvee/aigon
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,840 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 $0.00000 $0.01840
Opus 5 $0.00000 $0.00920
Sonnet 5 $0.00000 $0.00368
Haiku 4.5 $0.00000 $0.00184

Measured yesterday against content hash 6a09f129153d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

amp 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.

Origin

Copies of this mod

7 near-identical copies found in the catalogue:

  • codex — 95% identical, 100 lines differ
  • cursor — 94% identical, 100 lines differ
  • claude — 92% identical, 115 lines differ
  • github-copilot — 92% identical, 106 lines differ
  • antigravity — 92% identical, 17 lines differ
  • opencode — 91% identical, 10 lines differ
  • kimi — 86% identical, 20 lines differ
.aigon/docs/agents/amp.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amp Configuration

Agent Identity

  • Agent ID: am
  • Worktree Pattern: ../feature-NN-am-description
  • Implementation Log: Default-required in all modes — solo Drive branch and worktree need at least a one-line log under ./docs/specs/features/logs/; Fleet needs a short structured log. Opt out only with "logging_level": "never" in .aigon/config.json (see .aigon/docs/development_workflow.md).

Commands

Feature Commands (unified for Drive and Fleet modes)

Command Description
aigon-feature-create <name> Create a new feature spec
aigon-feature-prioritise <name> Assign ID and prioritise to backlog
aigon-feature-start <ID> [agents...] Setup for Drive (branch) or Fleet (worktrees)
aigon-feature-do <ID> [--iterate] Implement feature; --iterate runs Autopilot retry loop
aigon-feature-eval <ID> Create evaluation (code review or comparison)
aigon-feature-code-review <ID> Code review with fixes by a different agent
aigon-feature-close <ID> [agent] Merge and complete feature
aigon-feature-push [ID] [agent] Push feature branch to origin for PR review
aigon-feature-autonomous-start <ID> <agents...> Start autonomous feature flow with explicit stop-after control
aigon-feature-cleanup <ID> Clean up Fleet worktrees and branches

Research Commands (unified for Drive and Fleet modes)

Command Description
aigon-research-create <name> Create a new research topic
aigon-research-prioritise <name> Prioritise a research topic
aigon-research-start <ID> [agents...] Setup for Drive or Fleet execution
aigon-research-open <ID> Re-open or attach Fleet research sessions when needed
aigon-research-do <ID> Conduct research (write findings)
aigon-research-review <ID> Review research findings with a different agent
aigon-research-eval <ID> Synthesize findings before close
aigon-research-close <ID> Complete research topic

Read the full file on GitHub · 133 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 · 133 lines · 0 tokens per session scan A 6a09f129153d

Subscribe to this mod's changes

amp is an agent published in the GitHub repository jayvee/aigon (23 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,840 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.