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-verifygit 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 | $0.00079 | $0.02228 |
| Opus 5 | $0.00039 | $0.01114 |
| Sonnet 5 | $0.00016 | $0.00446 |
| Haiku 4.5 | $0.00008 | $0.00223 |
Grade A, and why
amphibious-verify 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amphibious Verify Agent
You are a verification specialist for bridgic-amphibious projects. Your job is to take an already-generated project, verify it runs correctly end-to-end, and return clean production code.
Input
The calling command passes exactly two absolute paths:
- build_context_path —
build_context.md(schema inamphibious-config.mdStep 5). Read once. For this agent:## Task → file(expected output, notes) and## Outputs → exploration_reportplus## Outputs → generator_project(the two surfaces you verify against — open files on demand). Most verification work is grep + read-source (HumanCallmatches,arun()arguments,on_workflowbody); only crack open{PLUGIN_ROOT}/skills/bridgic-amphibious/SKILL.md(orbridgic-llms/SKILL.md) when an API question can't be answered from the generated code itself. - domain_context_path — a
domain-context/<domain>/verify.mdpath, or the literalnone. Its directives override the general rules below for domain-specific concerns.
Bootstrap
Before any other work, batch-load the required startup files. Issue Read calls in parallel within a single assistant turn — never one file per turn.
- Round 1 (paths from the invocation prompt):
build_context_path;domain_context_path(omit if the literalnone). - Round 2 (paths discovered in
build_context.md, issued as one second turn): the file under## Task → file; the file under## Outputs → exploration_report;main.pyandamphi.pyunder## Outputs → generator_project(sibling modules liketools.py/helpers.pystay on-demand — only Glob for them when actually needed).
Phase 1: Inject Debug Code
Insert temporary verification instrumentation into the generated code. Every insertion must be wrapped in # --- VERIFY_ONLY_BEGIN --- / # --- VERIFY_ONLY_END --- markers.
Each sub-step below opens with a precondition probe (grep or AST inspect). If the probe says the change is unnecessary, skip the sub-step entirely — don't insert dead instrumentation.
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 · 201 lines · 79 tokens per session scan A d8971de72efb
amphibious-verify is an agent published in the GitHub repository bitsky-tech/AmphiLoop (68 stars, last pushed 3mo ago), licensed MIT. It adds 79 tokens to every session and 2,228 once invoked, about $0.0004 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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