Borrowing it
Nothing to install: this file belongs to jianyun8023/kimi-responses-adapter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jianyun8023/kimi-responses-adapter/main/AGENTS.mdgit clone --depth 1 https://github.com/jianyun8023/kimi-responses-adapterWrote 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/instructions/jianyun8023/kimi-responses-adapter/agents-md)<a href="https://agentmods.dev/instructions/jianyun8023/kimi-responses-adapter/agents-md"><img src="https://agentmods.dev/badge/instructions/jianyun8023/kimi-responses-adapter/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/jianyun8023/kimi-responses-adapter/agents-md"><img src="https://agentmods.dev/badge/instructions/jianyun8023/kimi-responses-adapter/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00942 | $0.00942 |
| Opus 5.5 | $0.00377 | $0.00377 |
| Sonnet 5.5 | $0.00188 | $0.00188 |
| Haiku 4.5 | $0.00094 | $0.00094 |
Grade A, and why
kimi-responses-adapter 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 2mo 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Module Organization
This is a Rust (tokio/axum) service: an OpenAI Responses API adapter for the Kimi Code Anthropic API. It is stateless and holds no credentials.
src/main.rs— entrypoint; loads env config and starts the axum server.src/adapter/— all adapter logic:config.rsenv-drivenConfig;types.rsResponses/Anthropic API types.convert.rsResponses → Anthropic request conversion.stream.rsAnthropic SSE → Responses SSE state machine (core).nonstream.rsnon-streaming response conversion.reasoning.rsthinking/signature ↔encrypted_contentcodec.models.rsupstream model-metadata cache (lazy, TTL, single-flight).server.rsrouting, upstream calls, raw passthrough for non-Responses paths.
- Tests live next to the code in
#[cfg(test)]modules; there are no assets or fixtures directories.
Build, Test, and Development Commands
Toolchain and tasks are managed by mise (mise install once):
mise run build # cargo build
mise run test # cargo test
mise run lint # cargo clippy --all-targets -- -D warnings
mise run fmt # cargo fmt
mise run ci # fmt --check + clippy + test (what CI runs)
mise run run # serve on :8787 (LISTEN_ADDR to override)
Coding Style & Naming Conventions
- Standard Rust:
cargo fmt-clean,cargo clippy --all-targets -- -D warningsclean (runmise run cibefore committing). - Names mirror the protocol they belong to:
Anthropic*types for the Kimi upstream side,Responses*/InputItemfor the OpenAI client side. - Emitted SSE/JSON payloads are built with
serde_json::json!maps (sorted keys, matching Go'smap[string]anyoutput); parsed input uses serde structs with#[serde(default)]so unknown fields are ignored. Raw JSON that must round-trip byte-for-byte (tool arguments, schemas) is kept asBox<serde_json::value::RawValue>. - Comment protocol quirks (e.g. web-search status suppression) where they are handled.
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.
- 2mo ago First seen · 80 lines · 942 tokens per session scan A c22c9effd695
kimi-responses-adapter AGENTS.md is an instructions file published in the GitHub repository jianyun8023/kimi-responses-adapter (1 stars, last pushed 2mo ago), licensed MIT. It adds 942 tokens to every session, about $0.0038 per session on Opus 5.5. 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 2026-08-31.
kimi-responses-adapter AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| kimi-responses-adapter AGENTS.mdjianyun8023/kimi-responses-adapter | Instructions file | 1 | 2mo ago | MIT | A | 942 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |