cli-bridge-mcp: Instructions file for Codex

AGENTS.md

cli-bridge-mcp AGENTS.md is an instructions file for Codex, OpenCode from JoaoBerne/cli-bridge-mcp. It costs 1,315 tokens per session, scanned A, original, Apache-2.0.

A contributor guide for an MCP server that runs official command-line interfaces from other AI systems as separate review lanes. MCP, or Model Context Protocol, is a standard way for an AI host to call tools provided by another program.

In plain words
What is it for?
Use it when changing the server, adding or reviewing AI-CLI lanes, updating tool schemas or prompts, or working with its configuration and review-result formats.
Why use it?
It explains the repository structure and keeps the server’s tool dispatch, compatibility code, schemas, prompts, resources, and subprocess execution organized. The server is read-only by default and does not extract tokens or API keys.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions Codex.

This is JoaoBerne/cli-bridge-mcp's own configuration. It tells Codex and OpenCode how to work on cli-bridge-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything cli-bridge-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to JoaoBerne/cli-bridge-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/JoaoBerne/cli-bridge-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/JoaoBerne/cli-bridge-mcp

Made for: Codex, OpenCode.

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Per session 1,315 This file is loaded in full into every session.
When invoked 1,315 The same file — it is already loaded in full.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.01315 $0.01315
Opus 5.5 $0.00526 $0.00526
Sonnet 5.5 $0.00263 $0.00263
Haiku 4.5 $0.00131 $0.00131

Measured 1mo ago against content hash de5c56c0c890, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cli-bridge-mcp AGENTS.md scanned grade A with 1 finding 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 1mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

bridges/ # openai_compatible.py = cli-bridge-openai (urllib only; used by the applepcc lane and HTTP lanes)
AGENTS.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent guide — cli-bridge

Guidance for AI coding agents (Claude Code, Codex, Gemini CLI, opencode…) working on this repo. CLAUDE.md is a symlink to this file.

What this is

An MCP server that exposes the other AI CLIs on the machine as tools. Each lane spawns the official CLI as a subprocess (no token extraction, no API keys). Read-only by default. Pure-stdlib + mcp only. Default surface: 15 fixed tools + ask_<lane> per installed CLI (schemas.DEFAULT_TOOLS, CLI_BRIDGE_TOOLS to widen).

Layout

src/cli_bridge/
  server.py      # MCP surface: handlers, call_tool dispatch, hot path (_run_lane incl. spend gates), _run_workflow_preset table. Keep thin.
  mcp_compat.py  # the ONLY file that branches on the mcp SDK major (1.x decorators vs 2.x add_request_handler, renamed fields)
  schemas.py     # tool schemas (_tools_for/_ask_schema, shared _P params, DEFAULT_TOOLS + _filter_tools) — pure
  reports.py     # doctor/doctor_deep + _render_* markdown + setup recommendation (injected is_host/run_lane)
  prompts.py     # MCP prompts (apilookup)
  resources.py   # MCP resources: config, lane-stats, usage-summary (pure)
  lanes.py       # LaneSpec registry + argv builders + custom-lane JSON loader + PATH detection + model probes
  runner.py      # subprocess exec, redaction, ANSI cleanup, process-tree kill, error classification, pacing, streaming
  config.py      # env parsing (lane_env* for CLI_BRIDGE_<LANE>_*), cost profile, timeouts, INSTRUCTIONS
  telemetry.py   # sqlite3 run log + lane health/cooldown + cache + ratings/lessons (best-effort)
  router.py      # deterministic cascade / ask_best ordering (pure)
  council.py     # ask_all/ask_cascade/ask_best/synthesize fan-out (injected run_lane)
  jobs.py        # in-process async jobs (job tool) + sqlite persistence
  workflows.py   # review_diff (focus=code|security), debate (vote=judge|borda), premortem, test_plan, challenge, git_text, prechecks
  orchestrate.py # batch_run durable fan-out + presets refine_plan/map_review/research_verify/fanout_compare/converge
  findings.py    # parse/merge/render structured review findings (pure)
  guards.py      # injection/tool-poisoning output guard (CLI_BRIDGE_GUARD)
  worktrees.py   # ask_build (isolated worktree diff | direct zone-guarded write, in-process zone lock, artifact return)
  buildloop.py   # steerable multi-turn direct builds: job action=tail|steer, executable DoD gate
  conversations.py # round-table threads: sqlite transcript + recipient-aware replay + rolling summary
  preamble.py    # terse response-style preamble prepended to delegate prompts
  cli.py         # human/CI entry point (cli-bridge ...) over the same internals
  bridges/       # openai_compatible.py = cli-bridge-openai (urllib only; used by the applepcc lane and HTTP lanes)
tests/           # pytest; unit + cross-host integration (no real CLI needed)
benchmarks/      # eval harness (several models vs one), outside the package and CI: eval.py, tests/, fixtures/evalset/
docs/            # TOOLS, ARCHITECTURE, HOSTS, BUDGET, COSTS
examples/        # lane JSON recipes (local-runtime, apple-fm-serve, openai-compatible, community, free-apis), mcp.example.json, local-first-host.md
plugin/          # Claude Code plugin manifest (wires the MCP server; no skills)
assets/          # README banner/mark/social (generated, do not hand-edit)

Read the full file on GitHub · 78 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. 1mo ago Changed · -63 lines · -1,205 tokens per session de5c56c0c890
  2. 2mo ago First seen · 141 lines · 2,520 tokens per session scan A b53c476dfb9c

Subscribe to this mod's changes

cli-bridge-mcp AGENTS.md is an instructions file published in the GitHub repository JoaoBerne/cli-bridge-mcp (2 stars, last pushed 17d ago), licensed Apache-2.0. It adds 1,315 tokens to every session, about $0.0053 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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