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In your workflow

Installing Model Peer globally gives you a command. It does not give your coding agent a habit. Until the agent working in a repository knows that peers exist and when reaching for one is worth the wait, nothing changes — you will remember model-peer for the first two days and then forget it.

Closing that gap is one command, run once per repository:

cd ~/code/your-project
model-peer init

What init writes​

An agent skill for each CLI, plus a slash command for Claude Code:

.claude/skills/cross-model-review/SKILL.md      review the current diff
.claude/skills/cross-model-consult/SKILL.md     ask one peer a question
.codex/skills/...                               both, per CLI
.gemini/skills/...
.claude/commands/peer-review.md                 /peer-review
.claude/commands/peer-ask.md                    /peer-ask

Two skills, because the tool does two things that fire on different cues. Review cross-checks a diff across the whole panel; consult gets one peer's opinion on one question. A single skill covering both had a description that was a list of unrelated triggers, which is the shape that stops a skill activating when it should.

That is the whole footprint. Your AGENTS.md, CLAUDE.md, and GEMINI.md are never read, written, or symlinked. Every path above is one Model Peer owns outright, which is what makes model-peer update possible: a self-contained directory can be replaced wholesale, with no marker surgery inside a file you wrote.

Each skill is addressed to the CLI that loads it and names its two peers — the Codex one opens "You are Codex. Claude and Gemini are available as independent, read-only engineering peers" — so every harness sees instructions written for it.

Narrow it if you like, and preview before committing to anything:

model-peer init --agents claude,codex   # skip Gemini
model-peer init --no-command            # skip the slash command
model-peer init --dry-run               # report; write nothing
model-peer init --print=review          # dump a SKILL.md to stdout
model-peer init --print=consult
How skills load, and why the description matters

A skill is a self-contained directory the vendor discovers on its own. Only the name and description from the frontmatter reach the model's system prompt; the body is loaded when the model decides the skill applies.

That is why the shipped description spells out the trigger conditions — architecture decisions, security-sensitive work, a bug that outlived two hypotheses, before a pull request — rather than just saying what the skill is. A vague description means the skill never fires.

Gemini needs a trusted folder

Gemini skips project skills in a directory its folder-trust gate has not blessed, reporting Skipping project agents due to untrusted folder. One command fixes it:

model-peer trust        # adds one TRUST_FOLDER entry for this directory
gemini skills list      # should now list both skills

That writes a single entry to ~/.gemini/trustedFolders.json and nothing else. Codex loads project skills without trust, and Claude Code asks you once interactively, so neither is touched. Since folder trust is a security control, init never does this for you — it only points at the command.

(Model Peer's own consultations were never affected: those pass --skip-trust.)

Why skills, and not your rules files​

Claude Code, Codex, and Gemini each read a project context file — CLAUDE.md, AGENTS.md, and GEMINI.md. Those belong to your project, and a tool that edits them uninvited does not get run twice.

Skills are the one mechanism all three support that is self-contained: a directory Model Peer creates, owns, and can update, sitting alongside your files rather than inside them.

Two paths that look like they should work and do not:

  • .codex/rules/ is real, but it holds Starlark .rules files that control which commands Codex may run outside its sandbox. It is a permissions mechanism, not agent context; markdown there is ignored.
  • .agents/skills/ is a Gemini-only alias. Codex and Claude Code do not read it, so Model Peer uses each vendor's own directory.

The three moments it changes​

1. Mid-task, when the agent is unsure​

The skill tells your agent to consult a peer before an architecture decision, on a bug that has outlived two hypotheses, on anything security-sensitive, and when it is choosing between two approaches. In practice you see this in the transcript:

> This touches the tenant isolation check, so I'll get an independent read
  before I commit to it.

  model-peer ask codex "In src/db/scope.ts, can withTenant() be bypassed when
  the caller passes an already-scoped query builder?"

  Codex flagged that the guard is skipped for pre-scoped builders. That is
  real — I checked scope.ts:88. Fixing it before continuing.

The value is not that Codex was right. It is that the agent said which model it asked and whether it accepted the advice, so you can audit the reasoning instead of taking a laundered opinion.

2. Before a pull request​

model-peer review "Focus on the tenant isolation changes"

Every installed model reviews the same diff without seeing the others' conclusions, then a synthesizer reconciles them. This is the one to run before you open a PR, and again after any change to security-sensitive code.

Because reviewers cannot anchor on each other, agreement between them is real signal — and the synthesizer is explicitly told not to accept a claim merely because several models repeated it.

3. From inside Claude Code​

init also installs a slash command, so you never have to leave the session:

/peer-review
/peer-review auth flow and session rotation

It runs model-peer review, reports the synthesized findings ungarnished, and then says for each one whether it agrees and why. It will not apply fixes unless you ask.

Keeping it current​

The skill text changes between Model Peer versions. After upgrading:

model-peer update
  current   .claude/skills/cross-model-review/SKILL.md
  updated   .codex/skills/cross-model-review/SKILL.md
  current   .claude/commands/peer-review.md

update only touches files that already exist and that Model Peer wrote. It never installs an agent you did not ask for — use init for that — and a file at one of those paths that Model Peer did not write is reported and left alone.

To verify without writing, for CI:

model-peer update --check

Exits 0 when everything matches this version, 1 when something is missing or stale.

- name: Check agent skills
  run: |
    curl -fsSL https://raw.githubusercontent.com/makedirectory/ModelPeer/v0.5.0/install.sh | bash
    ~/.local/bin/model-peer update --check

Rolling it out to a team​

  1. One person runs model-peer init and commits the four files.
  2. Everyone else runs the installer once, for the model-peer command itself. The skills are already in the repo.
  3. Nobody needs the same CLIs. model-peer doctor reports what each machine has, and ask needs one peer while review needs two.

Costs are worth stating plainly: every consultation is a real model call against the developer's own vendor account, and a full review across three models takes minutes. The shipped skill tells agents not to consult for anything answerable by reading the code, which is the difference between a useful habit and a bill.

Want to read the text before installing anything? model-peer init --print writes it to stdout and touches nothing. There is no separate examples/ directory: the skills are the examples, and they are installable.

Next​