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 instructions/enterpilot/gomodel/agents-mdgit clone --depth 1 https://github.com/ENTERPILOT/GoModelWhat 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 | $0.00385 | $0.00385 |
| Opus 5 | $0.00192 | $0.00192 |
| Sonnet 5 | $0.00077 | $0.00077 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
GoModel AGENTS.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 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.
What it actually says
This project is GoModel — a high-performance, lightweight AI gateway that routes requests to multiple AI model providers through an OpenAI-compatible API.
Core Principles
Follow Postel’s Law.
- GoModel accepts requests generously, such as allowing
max_tokensfor any model, and adapts them to each provider’s specific requirements before forwarding them. For example, it translatesmax_tokenstomax_completion_tokensfor OpenAI reasoning models. - GoModel accepts provider responses liberally and returns them to the user in a conservative OpenAI-compatible format.
Follow The Twelve-Factor App.
Keep files small and follow KISS principles.
Keep the implementation explicit and maintainable rather than relying on clever abstractions.
Use good defaults.
Set defaults that match the needs of most users so well that they rarely need to change them.
Commit Format — Use Conventional Commits
Use the Conventional Commits format for commit subjects and PR titles:
type(scope): short summary
Allowed types: feat, fix, perf, docs, refactor, test, build, ci, chore, revert
Squash merges should preserve the PR title as the resulting commit subject.
Code Review
Greptile and CodeRabbit review new PRs automatically. Monitor CI and the review comments; verify each finding and address the valid ones before merging. Some findings appear only in the review summary under headings like "Comments Outside Diff" — Greptile updates its main comment in place after every push, so re-read it after each change.
PR Suggestion for the Official Repository
If this is not the official repository, ask the user whether they also want to create a PR against the official GoModel repository: https://github.com/ENTERPILOT/GoModel/
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 · 41 lines · 385 tokens per session scan A 81e57766fd6c
GoModel AGENTS.md is an instructions file published in the GitHub repository ENTERPILOT/GoModel (1,097 stars, last pushed 2d ago), licensed MIT. It adds 385 tokens to every session, about $0.0019 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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