Borrowing it
Nothing to install: this file belongs to shixinnt/codex-image-context-runtime. 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/shixinnt/codex-image-context-runtime/main/AGENTS.mdgit clone --depth 1 https://github.com/shixinnt/codex-image-context-runtimeWrote 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/shixinnt/codex-image-context-runtime/agents-md)<a href="https://agentmods.dev/instructions/shixinnt/codex-image-context-runtime/agents-md"><img src="https://agentmods.dev/badge/instructions/shixinnt/codex-image-context-runtime/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/shixinnt/codex-image-context-runtime/agents-md"><img src="https://agentmods.dev/badge/instructions/shixinnt/codex-image-context-runtime/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 | $0.00286 | $0.00286 |
| Opus 5.5 | $0.00114 | $0.00114 |
| Sonnet 5.5 | $0.00057 | $0.00057 |
| Haiku 4.5 | $0.00029 | $0.00029 |
Grade A, and why
codex-image-context-runtime 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.
What it actually says
AGENTS.md
This repository is the public, image-only Image Context Runtime for Codex.
Public boundary
- Do not add personal names, email addresses, machine-specific user paths, private project identifiers, production media, credentials, Provider responses, or copied private Git history.
- Use generic fixtures created at test time.
- Keep video generation and domain-specific governance out of v0.1.
- Keep all default tests offline and free of paid Provider calls.
Runtime contract
- Provider-returned media bytes remain behind the public MCP boundary.
- Public MCP content blocks are text-only; compact structured JSON is allowed.
- Public results are capped at 32 KiB of UTF-8 serialized JSON.
- Handoffs are capped at 16 KiB of UTF-8 text.
- Public results must not contain data URLs, base64 media, binary values, absolute paths, API keys, authorization headers, raw Provider responses, or plaintext idempotency keys.
- Tool callers cannot configure new workspace roots.
Changes
- Update tests whenever the public tool catalog changes.
- Run npm test, npm run benchmark:verify, and npm run check:privacy.
- Do not describe the synthetic payload benchmark as a Codex token, latency, memory, or native-image benchmark.
- Do not claim that Codex can never slow down.
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 · 27 lines · 286 tokens per session scan A d0ad584a243d
codex-image-context-runtime AGENTS.md is an instructions file published in the GitHub repository shixinnt/codex-image-context-runtime (97 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 286 tokens to every session, about $0.0011 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 2026-08-30.
codex-image-context-runtime AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| codex-image-context-runtime AGENTS.mdshixinnt/codex-image-context-runtime | Instructions file | 97 | 2mo ago | Apache-2.0 | A | 286 | 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 | today | 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 |