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/joaoberne/cli-bridge-mcp/agents-mdgit clone --depth 1 https://github.com/JoaoBerne/cli-bridge-mcpWrote 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/joaoberne/cli-bridge-mcp/agents-md)<a href="https://agentmods.dev/instructions/joaoberne/cli-bridge-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/joaoberne/cli-bridge-mcp/agents-md.svg" alt="Measured on agentmods" 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 | $0.02520 | $0.02520 |
| Opus 5 | $0.01260 | $0.01260 |
| Sonnet 5 | $0.00504 | $0.00504 |
| Haiku 4.5 | $0.00252 | $0.00252 |
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 4d 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/ # bundled stdlib API bridges (openai_compatible.py = cli-bridge-openai, urllib-only) How it starts
The opening of the file, as written. The whole thing — 141 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 lets the host AI consult other AI CLIs as a council. Each lane spawns
the official CLI as a subprocess (ban-safe: no token extraction, no API keys). Read-only by
default. Pure-stdlib + mcp only.
Layout
src/cli_bridge/
server.py # MCP surface: handlers, call_tool dispatch, hot path (_run_lane), request-context glue. 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-schema assembly (_tools_for/_ask_schema/_filter_tools) — pure, re-exported by server
reports.py # doctor/doctor_deep + _render_* markdown + setup recommendation (injected is_host/run_lane)
prompts.py # MCP prompt builders + _PROMPTS registry (host-native slash commands, pure)
resources.py # MCP resource payloads: config snapshot + review-result JSON schema (pure)
lanes.py # LaneSpec registry + argv builders + custom-lane JSON loader
runner.py # subprocess exec, redaction, process-tree kill, error classification
config.py # env parsing, cost profile, timeouts, onboarding text
telemetry.py # sqlite3 run log + lane health/cooldown (best-effort, privacy-first)
router.py # deterministic cascade ordering (pure)
council.py # ask_all/ask_cascade/ask_best/synthesize fan-out (injected run_lane — like workflows)
jobs.py # in-process async jobs (ask_all_async) + sqlite persistence
workflows.py # review_diff/security_review/debate + prechecks + council recap
orchestrate.py # batch_run durable fan-out + presets (refine_plan/verify_repair/fanout_compare/converge)
consensus_loop.py # converge-loop PURE state machine (3 governance guards, no I/O) — driven by orchestrate
findings.py # parse/merge/render structured review findings (pure; optional category taxonomy)
guards.py # injection/tool-poisoning output guard (CLI_BRIDGE_GUARD)
worktrees.py # ask_build (isolated worktree diff | direct zone-guarded write + artifact return)
buildloop.py # steerable multi-turn builds: job_tail/build_steer, executable DoD gate
conversations.py # round-table threads: sqlite persistence + recipient-aware replay
preamble.py # terse response-style preamble prepended to delegate prompts
eval.py # quality eval: council vs single + self-consistency, permutation test, scorer
cli.py # human/CI entry point (cli-bridge ...) over the same internals
detect.py # PATH detection (+ availability_env gate for opt-in API lanes)
bridges/ # bundled stdlib API bridges (openai_compatible.py = cli-bridge-openai, urllib-only)
tests/ # pytest; unit + cross-host integration (no real CLI needed)
docs/ # COSTS.md, BENCHMARKS.md, ARCHITECTURE.md, i18n/ READMEs
assets/ # README banner/mark/social SVGs + demo.gif (generated, do not hand-edit)
site/ # GitHub Pages landing (deployed by .github/workflows/pages.yml)
examples/ # custom-lane JSON recipes + GitHub Action
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.
- 4d ago First seen · 141 lines · 2,520 tokens per session scan A b53c476dfb9c
cli-bridge-mcp AGENTS.md is an instructions file published in the GitHub repository JoaoBerne/cli-bridge-mcp (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 2,520 tokens to every session, about $0.0126 per session on Opus 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.