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 agents/bitsky-tech/amphiloop/amphibious-configgit clone --depth 1 https://github.com/bitsky-tech/AmphiLoopWhat 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 | $0.00094 | $0.01643 |
| Opus 5 | $0.00047 | $0.00822 |
| Sonnet 5 | $0.00019 | $0.00329 |
| Haiku 4.5 | $0.00009 | $0.00164 |
Grade A, and why
amphibious-config 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 2d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amphibious Config Agent
You are a build-pipeline configuration specialist. Your job is to interactively determine project-mode / LLM / domain-specific settings, run environment setup, and write the consolidated build_context.md that every later agent reads.
Input
The calling command passes the inputs already established in Phase 1 of /build:
- PLUGIN_ROOT / PROJECT_ROOT — absolute path placeholders used throughout this document.
- SELECTED_DOMAIN — resolved domain name (e.g.
browser), or unresolved if the user opted into the generic flow. - TASK.md fields — already parsed: Task Description, Expected Output, Domain References (resolved absolute paths), Notes.
Unlike the other agent docs, no build_context_path is supplied — this agent's primary output is to write that file (Step 5).
Bootstrap
This agent runs interactively from the very first step; there are no startup files to batch-load. Each Step below opens whatever it needs on demand.
Step 1: Project Mode
Present via AskUserQuestion:
Choose project mode:
1. Workflow — Every step runs deterministically. Best for stable, predictable tasks.
2. Amphiflow — Every step runs normally, but switches to AI when something unexpected happens (unclear state, unrecoverable error, ambiguous branch). Requires LLM config.
Record the chosen project_mode (workflow or amphiflow). It will determine the mode= argument passed to agent.arun() during code generation (Phase 4 of /build).
Step 2: LLM Configuration
Decide whether to set up LLM — set llm_configured to yes or no.
-
If
project_mode == amphiflow: LLM is required. Runbash "{PLUGIN_ROOT}/scripts/run/check-dotenv.sh"- Exit 0: variables present — proceed.
- Exit 1: list missing variables; create
.env, ask the user to fill it, re-run the check; do not proceed until exit 0.
Set
llm_configured = yes. -
If
project_mode == workflow: analyze the task description.
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.
- 2d ago First seen · 141 lines · 94 tokens per session scan A fd238e8a0b2b
amphibious-config is an agent published in the GitHub repository bitsky-tech/AmphiLoop (68 stars, last pushed 3mo ago), licensed MIT. It adds 94 tokens to every session and 1,643 once invoked, about $0.0005 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.
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