opencli AGENTS.md

Repository instructions for OpenCLI, an open-source command-line program that lets AI agents work with Google Gemini and Anthropic Claude models. They explain the project structure, task workflow, commands, and coding rules.

In plain words
What is it for?
Use them when starting tasks in the OpenCLI TypeScript/Node.js project, especially to understand its source layout and run development, build, type-checking, linting, formatting, or test commands.
Why use it?
They give an agent the project-specific context needed to make compatible changes and run the right checks. They also help keep related instruction files consistent.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/zjshen14/opencli/agents-md
Clone the repo
git clone --depth 1 https://github.com/zjshen14/opencli

Made for: Codex, OpenCode.

Per session 3,541 This file is loaded in full into every session.
When invoked 3,541 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.03541 $0.03541
Opus 5 $0.01770 $0.01770
Sonnet 5 $0.00708 $0.00708
Haiku 4.5 $0.00354 $0.00354

Measured yesterday against content hash 74a63df95239, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

opencli 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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides guidance to Codex when working with code in this repository. It must be kept in sync with CLAUDE.md — see docs/engineering-practices.md.

Project Overview

OpenCLI — an open-source AI agent CLI that supports Google Gemini and Anthropic Claude models, modeled after Claude Code. The implementation is a working prototype in TypeScript/Node.js (ESM, Node 20+).

Getting Started with a Task

New to this project? Start here: Task Workflow — it walks you through the typical task lifecycle, from reading the issue to committing your work. It references this document and docs/engineering-practices.md for the conventions you need to know.

Commands

npm run dev               # Run interactive REPL (auto-loads .env)
npm run dev run "<prompt>"  # One-shot prompt
npm run build             # Bundle with tsup → dist/
npm run typecheck         # tsc --noEmit
npm run lint              # ESLint
npm run lint:fix          # ESLint with auto-fix
npm run format            # Prettier --write src/**/*.ts
npm run format:check      # Prettier check (no write)
npm test                  # Vitest
npm run test:single       # Vitest verbose (single run)

API keys are loaded from .env (GEMINI_API_KEY for Gemini models, ANTHROPIC_API_KEY for Claude models). Default model: gemini-3.1-flash-lite-preview.

Source Structure

src/
  cli/            # Thin adapter — reads config/env, wires dependencies, runs the REPL
    index.ts        # Entry point — commander CLI (chat / run / sessions / config commands)
    repl.ts         # Interactive REPL, /slash command interception, skill loading, session logging
    renderer.ts     # MarkdownStreamRenderer (paragraph-level streaming), tool call display
    input.ts        # Raw-mode readline, /slash popup with arrow-key navigation
    confirm.ts      # HITL confirmation dialog (y/n/always); reads and writes settings
    keys.ts         # API key resolution — env var → config file lookup
    mcp-cmd.ts      # /mcp slash command handler (list, add, remove, test)
    mentions.ts     # @-mention expansion — resolves @file references before the agent sees them
    plan.ts         # /plan slash command handler — plan pass → approval → react execution
    runner.ts       # runAgentTurn() helper extracted from repl.ts
  core/           # Pure library — no process.env reads, no CLI/state imports
    agent.ts        # Agentic loop: stream → collect function calls → execute → feed back
    executor.ts     # Parallel tool execution, skill activation dispatch, HITL confirmation gate,
                    #   provenance-tracking confirmation bump (#309): results from web_fetch/mcp__*/
                    #   out-of-project reads are tagged untrusted; while any is consumed this turn,
                    #   outbound/mutating tools (bash/write/edit/multi_edit/web_fetch/mcp__*) are forced
                    #   through the gate (same-batch reads arm it pre-dispatch)
    context.ts      # Conversation history, skill content injection, context pruning
    prompt.ts       # DEFAULT_SYSTEM_INSTRUCTION template + loadSystemInstruction() (OPENCLI_SYSTEM_MD)
    compact.ts      # compactContext() — LLM-based context compaction for /compact command
    observability.ts # ObservabilityEvent types; token + turn metrics emitted by the agent loop
  providers/      # LLM clients — no CLI/state imports
    types.ts        # Shared types: Message, StreamEvent, ToolDefinition, ToolResult, thoughtSignature
    client.ts       # LLMClient interface — the provider plug point
    registry.ts     # PRESETS — single source of truth for provider wire format, base URL, key env
                    #   vars, context windows, capabilities. Adding a provider is a data change.
    gemini.ts       # GeminiClient implements LLMClient; Gemini-specific schema conversion internal
    anthropic.ts    # AnthropicClient implements LLMClient; translates role/tool formats internally
    openai.ts       # OpenAIClient implements LLMClient; also serves every OpenAI-compatible OSS
                    #   provider and local Ollama
    salvage.ts      # Recovers tool calls OSS models emit as text instead of structured tool_calls
    ollama-discovery.ts # Best-effort /api/tags query — local context window + tool capability
    factory.ts      # createClient(model, apiKey) — picks provider via the registry
    schema.ts       # Generic toolToDefinition() + activateSkillDefinition (plain JSONSchema, no provider deps)
    retry.ts        # withRetry() — shared exponential-backoff retry wrapper for provider streams
    errors.ts       # toFriendlyError() — normalises provider errors to human-readable messages
  tools/
    base.ts         # Tool interface + JSONSchema type
    registry.ts     # ToolRegistry: register, execute, list
    file/           # read, write, edit, multi_edit, glob, grep, ls; paths.ts (symlink-aware containment + credential-path checks)
    exec/           # bash (with requiresConfirmation for non-safe commands); sandbox/ (bwrap, sandbox-exec, passthrough)
    web/            # web_fetch tool
    task/           # todo_write and todo_read tools
    think.ts        # think tool — private scratchpad; skipped for native-thinking models
    index.ts        # createDefaultRegistry(model?, runner?) factory — omits think for native-thinking models
  skills/
    registry.ts     # Discover SKILL.md files across 4 scoped directories
    loader.ts       # Parse SKILL.md frontmatter, !{cmd} preprocessing, $ARGUMENTS substitution
    builtin/        # review, commit, explain, debug, test, gh-issue, gh-pr, branch, run-tests, typecheck, lint, new-skill, changelog
  mcp/            # MCP integration — bridges external tool servers into ToolRegistry
    types.ts        # McpStdioServer, McpHttpServer, McpServerConfig, McpConfig, McpToolInfo
    config.ts       # loadMcpConfig(agentDir) — reads ~/.opencli/mcp.json; expands ${VAR} refs
    client.ts       # McpClient — connects via stdio or HTTP, enforces per-server callTimeout
    adapter.ts      # mcpToolToTool() — wraps one MCP tool as a Tool (name: mcp__server__tool)
    manager.ts      # McpManager — connects all servers in parallel, registers adapters
    index.ts        # Re-exports all public types and classes
  state/
    config.ts       # ~/.opencli/config.json load/save; exports AGENT_DIR, Config (incl. anthropicApiKey)
    session.ts      # JSONL session logs at ~/.opencli/projects/<cwd>/; create, list, resume
    settings.ts     # .opencli/settings.json load/save; holds project-level Permissions (HITL allow/ask/deny list)
    snapshot.ts     # SnapshotManager — git stash create/restore for per-session working-tree snapshots

Read the full file on GitHub · 174 lines

Changes

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.

  1. yesterday First seen · 174 lines · 3,541 tokens per session scan A 74a63df95239

Subscribe to this mod's changes

opencli AGENTS.md is an instructions file published in the GitHub repository zjshen14/opencli (2 stars, last pushed 9d ago), licensed MIT. It adds 3,541 tokens to every session, about $0.0177 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 2026-08-31.