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agentbundle

PyPI Python License

The installer for agent-ready-repo. Think npm, but for the skills, subagents, and hooks your coding agent runs on. One pack, one command, every major agent — Claude Code, Codex, Cursor, Copilot, Gemini, and Kiro (both the CLI and the IDE).

Quick start

pip install agentbundle

Requires Python 3.11+. Runs on macOS, Linux, and Windows.

Install into a repo — so everyone who clones it gets the pack. core is the flagship pack, the loop itself:

agentbundle install --pack core

No catalogue argument needed: it defaults to the agent-ready-repo catalogue. It lands in the repo's agent config — subagents and skills included — and you commit it like any other project file. This is the default scope: the pack belongs to the project and the whole team.

Install for yourself, everywhere — so a pack follows you across every project, with no per-repo setup:

agentbundle install --pack desk-research --scope user

User-scope packs land in your home directory, not the repo — they're yours, not the team's, and they're there in every project you open.

The install auto-detects your agent (--adapter overrides). Multi-IDE? Install the same pack for each agent at the same scope — they coexist, and the agents that read .agents/skills/ (codex, cursor, gemini, copilot) share one skill copy instead of fighting over it. To install from a different catalogue, pass it as a trailing argument — a git URL or a local path (agentbundle install --pack core <catalogue>); a config set source <catalogue> makes that the default, and an editable clone (pip install -e) defaults to itself.

More commands

# See what the catalogue offers (bare uses the default; or name one explicitly)
agentbundle list-packs
agentbundle list-profiles

# See what a single pack contains — skills and agents, derived live from its tree
agentbundle show core
agentbundle show core --format json          # stable object for scripts/agents

# See what YOU have installed — pack, adapter, scope, version, and whether
# an upgrade is available (both scopes by default)
agentbundle list-installed
agentbundle list-installed --no-check       # skip the catalogue check (offline, fast)
agentbundle list-installed --check-drift    # also count locally edited files
agentbundle list-installed --format json    # machine-readable JSON (schema_version 1)
agentbundle list-installed --updates-only   # show only rows needing attention

# Install a whole curated profile — a single-scope set of packs — in one command
agentbundle install --profile inception

# Preview any install without writing a file
agentbundle install --pack core --dry-run

# Upgrade to the version the catalogue ships — shows installed → target, asks first
agentbundle upgrade --pack core
agentbundle upgrade --pack core --yes  # skip the prompt (CI)

# Uninstall — previews remove (Tier-1) vs keep (your edits), asks first
agentbundle uninstall --pack core --dry-run
agentbundle uninstall --pack core --yes

list-installed reads your state files (not the catalogue) and reports every installed (pack, adapter) at each scope with its version and a four-value status — up-to-date, upgrade-available, ahead (installed version is newer than catalogue), or unknown; it degrades to unknown (never an error) when the catalogue can't be resolved, and --no-check skips the check entirely. --format json emits a stable JSON contract (schema_version: 1) to stdout — useful for CI automation of upgrade decisions. --updates-only hides up-to-date rows.

show <pack> answers "what skills and agents does this pack contain?" by walking the pack's source tree live on each call — so the answer can't drift, and nothing is persisted. --format json emits a stable object (name, version, description, skills, agents, source) for scripts and agents. When the catalogue can't be resolved, an installed pack still reports its inventory from your state files (marked source: installed-state); a not-installed pack errors.

A profile is a catalogue-curated, single-scope set of packs you install in one command — it declares its own scope, so --scope doesn't apply. Upgrade takes no version — the target is whatever the catalogue you point at declares; to pin a past version, point the catalogue at that git ref. Install a pack that's already there and agentbundle offers to upgrade it instead (--yes runs it straight away).

Mutating commands ask first. uninstall, the --force cleanup, and the upgrade offer all preview what they'll do and confirm before touching anything; --dry-run previews without writing, and --yes skips the prompt for non-interactive / CI use (where, without it, they refuse rather than hang).

Enterprise distribution

For organizations running an internal Artifactory mirror or any static HTTPS server, agentbundle's enterprise distribution capabilities handle the full adoption loop — from org-wide channel configuration to CI-driven bulk upgrades.

Install from an internal Artifactory channel:

# Point agentbundle at your org's channel descriptor (one-time per machine,
# or pre-configured in your org fork — see Org bootstrap below)
agentbundle config set source catalogue+https://artifactory.example.test/agentbundle/catalogues/core/channels/stable.json

agentbundle install --pack core

The channel descriptor points to an immutable versioned archive; agentbundle fetches, verifies its SHA-256 digest, and installs. Pass a bearer token via AGENTBUNDLE_HTTP_BEARER_TOKEN — it is never stored in state, never printed, and never forwarded to a different host.

JSON output for CI pipelines:

# See what's installed and what needs upgrading — machine-readable
agentbundle list-installed --format json
agentbundle list-installed --format json --updates-only

Returns a stable JSON contract (schema_version 1) with per-row status (up-to-date / upgrade-available / ahead / unknown) and machine-readable reason codes for unknown rows. Pipe into jq or your CI annotation step.

Bulk upgrade in one scoped command:

# Upgrade all installed packs in a scope — preflights before any write
agentbundle upgrade --all --scope repo --yes
agentbundle upgrade --all --scope user --format json --yes

Preflights all rows before writing anything; a blocked row stops the run before the filesystem is touched. Partial failure is reported honestly — not described as a rollback. Never silently downgrades an ahead row.

Package your catalogue for Artifactory:

agentbundle catalogue package \
  --root /path/to/catalogue \
  --bundle my-packs \
  --release 1.0.0 \
  --channel stable \
  --output dist/

Produces a deterministic, reproducible gzip archive (versioned) and a mutable channel descriptor JSON (stable.json), ready to upload to Artifactory. Identical inputs produce byte-identical archives (honors SOURCE_DATE_EPOCH).

Build residue is excluded, so it does not matter whether you packaged a working tree you had just tested or npm-installed in. Pruned at every level of a pack: __pycache__, .pytest_cache, .mypy_cache, .ruff_cache, .tox, .hypothesis, htmlcov, node_modules, .venv, venv — plus *.pyc, *.pyo, .DS_Store, coverage.xml and .coverage* shards. The drop is silent, so do not name a directory you mean to ship after one of those.

Source distribution for air-gapped or self-hosted catalogues:

agentbundle catalogue package \
  --root /path/to/catalogue \
  --bundle my-packs \
  --release 1.0.0 \
  --flavor source \
  --output dist/

Produces a catalogue-source-<release>.tar.gz from a positive allowlist (packs, profiles, guides, marketplace manifest, legal files), with the same build-residue exclusions as the default flavour. Includes a self-hosted-source-manifest.json with per-file SHA-256 digests and provenance fields. agentbundle install refuses to install a source archive, preventing accidental misuse.

Org bootstrap — ship the default channel in your fork:

Add an [organization.artifactory] block to agentbundle/_data/install-defaults.toml in your org's agentbundle fork:

[organization.artifactory]
enabled = true
base-url = "https://artifactory.example.test"
repository = "agentbundle"
bundle = "core"
channel = "stable"

Developers installing from your fork get the internal channel without a manual config set source step. The block ships enabled = false in the public package. A malformed enabled = true config fails closed — no silent fallback to the public source.

Offline and air-gapped hosts: set AGENTBUNDLE_NO_REMOTE=1 to skip the org Artifactory bootstrap and editable-install detection entirely. agentbundle falls straight through to the packaged default, so hosts without network access to Artifactory still resolve a source without errors.

See the full enterprise adoption guide at docs/guides/_shared/how-to/use-an-artifactory-catalogue.md for all six flows (org bootstrap, repo-scope CI upgrade, user-scope MDM, source-conflict remediation, disconnected hosts, and security controls).

Build your own catalogue

agentbundle isn't tied to the agent-ready-repo catalogue. Any repo that lays its packs out the same way can use it.

Bootstrap a new catalogue in an empty directory:

agentbundle catalogue init --target /path/to/new-catalogue

Scaffolds catalogue.toml, the required directory tree (packs/, profiles/, contracts/, .claude-plugin/), and a starter marketplace.json. Skips files that already exist; reports conflicts without overwriting. Pass --dry-run to preview.

Bootstrap a self-hosted enterprise catalogue from an existing source:

agentbundle catalogue init \
  --preset self-hosted \
  --source /path/to/source-catalogue.tar.gz \
  --tooling vendored \
  --attribution white-label \
  --repository-url https://github.com/your-org/your-catalogue \
  --owner-email admin@example.com

Copies selected packs and profiles from the source archive, generates catalogue.toml with your identity, runs a fail-closed leak check, and writes .agentbundle/self-host-state.json to track managed files. --tooling vendored also copies the agentbundle source and catalogue-curation pack into .agentbundle/tooling/ for air-gapped deployments. Re-run to apply updates; stale owned files are removed (sha256-guarded, user-modified files are skipped).

A pack is a directory:

my-pack/
  pack.toml                  # name, version, adapter-contract, install scope,
                             # plus rich metadata (license, maintainers, links,
                             # categories, keywords) and a README pointer
  .claude-plugin/
    plugin.json              # Claude Code plugin manifest (hand-authored)
  README.md                  # the pack's portable doc — projected with the pack
  .apm/                      # runtime — projected by the build pipeline
    skills/<name>/
      SKILL.md               # the skill body; one folder per skill
      scripts/               # helper code the skill invokes
      references/            # progressive-disclosure docs, loaded on demand
      assets/                # templates the skill copies into the repo
      evals/                 # activation + output-quality evals, skill-local
    agents/<name>.md         # subagents
    hooks/<name>.py          # lifecycle hooks
  tests/                     # implementation tests — NEVER projected
    skills/<name>/
    hooks/
    pack/
  seeds/                     # files scaffolded into the adopter repo

Three boundaries: the pack owns and executes its tests, .apm/ is the runtime export boundary, and a skill owns its eval fixtures. Only .apm/ and seeds/ are projected into an installed environment — tests/ is visible in a catalogue archive, so an extracted pack can verify itself, but install never places it. Keep tests out of .apm/ even though the installer would ignore them there; the separation is structural, not incidental.

pack.toml is the single source of truth for a pack's metadata. Declare license, [[pack.maintainers]], [pack.links], categories, and keywords once; the build projects the cleanly-mappable subset — plus the pack's README.md — into each distribution route's manifest (the plugin.json / marketplace.json entry), so the catalogue describes each pack richly rather than with a single sentence. A marketplace entry's source is a git-subdir object (url, path, and one of ref/sha) pointing at the pack's directory on the published distribution branch, and every entry is schema-validated at build time against marketplace-entry.schema.json. Extra fields stay in pack.toml; the projection is deliberately lossy per tool.

Point a catalogue URI (a git URL or a local path) at the repo that holds your packs. Then validate a pack against the adapter contract, render it to preview the projection, and install it into a target repo. scaffold drops a pack's seeds into a fresh directory to start from. The build pipeline (agentbundle.build) is the same engine make build runs.

Org adapter default: If your org ships a private agentbundle wheel (or a fork pinned to your internal catalogue), you can set a default adapter for all developers without requiring them to run agentbundle config set or pass --adapter on every install. Add an [organization] table to _data/install-defaults.toml in your fork:

[organization]
preferred_adapter = "cursor"

The org hint fires after the user-config but before the on-disk IDE probe — so --adapter, user-config, and upgrade state-hints all take priority. An invalid value exits 1 before writing anything. See the agentbundle reference for the full cascade.

Bundled contracts — the wheel ships the machine contracts used for offline validation: pack.schema.json, skill.schema.json, guide.schema.json, skill-manifest.schema.json, profile.schema.json, catalogue.schema.json, plugin-manifest.schema.json, plugin-manifest.derived.schema.json, marketplace-entry.schema.json, target-vocab.toml, and the adapter contract files. All are available without network access via importlib.resources.

Lint your catalogue — shallow structural checks run without extra dependencies:

agentbundle catalogue lint --root .

For full agentskills.io spec compliance (frontmatter key set, description policy, encoding, evals schema), install the lint extra and run with --deep:

pip install 'agentbundle[lint]'
agentbundle catalogue lint --root . --deep

Check self-host projection drift — verifies that adapter-projected files (skills, agents, hooks) match their .apm/ sources without writing anything:

agentbundle catalogue self-host --check --root .

Exits non-zero if any projected file is out of date. Safe to run in CI as a required check; use --write locally to regenerate.

By default projects for claude-code and codex. Downstream repos that use a single adapter (e.g. kiro-ide) can declare it in catalogue.toml — only that adapter is then projected, and its output files participate in the drift check:

[distribution.agentbundle]
preferred-adapter = "kiro-ide"

When preferred-adapter names an adapter not in the upstream SELF_HOST_ADAPTERS list, the self-host engine switches to single-adapter mode: only the named adapter is projected; Claude Code-specific artifacts (.claude/, .codex/, .claude-plugin/, CLAUDE.md) are neither written nor drift-checked.

Run Tier-A activation evals to measure whether each covered skill fires on the prompts it should:

agentbundle pack evals run --pack <pack-name> --catalogue-root .

See the pack layout reference and authoring a skill.

Catalogue defaults and pack config API

Catalogue defaults let operators ship sensible starting values for every pack they distribute. Add a [pack-defaults.<pack-name>] table to catalogue.toml and the defaults are baked in at publish time. They slot into the three-layer cascade: pack-source defaults → operator defaults → user config. A custom install root is also supported via [catalogue] user-dir = "~/custom/path".

Pack scripts can resolve their user-scope directory and read the merged config at runtime using the agentbundle.config API:

from agentbundle.config import pack_dir, load_pack_config

directory = pack_dir("my-pack")                 # ~/.agentbundle/my-pack/
config = load_pack_config("my-pack")            # merged dict: pack defaults + operator + user

Operation log — scripts can append structured JSONL records to <pack_dir>/ops.jsonl for lightweight audit trails:

from agentbundle.oplog import write_entry

write_entry("my-pack", "install", src="git+https://example.com/my-pack")

CLI commands to read, write, and inspect pack config and operation logs:

agentbundle pack-config show my-pack            # all config values for a pack
agentbundle pack-config get  my-pack api-key    # single value
agentbundle pack-config set  my-pack api-key v  # write to user config.toml

agentbundle oplog show  my-pack                 # JSONL operation history
agentbundle oplog clear my-pack                 # wipe history (asks first)

Per-session MCP server (workspace-mcp)

The core pack ships a per-session MCP server that a control harness can inject into each Claude Code session. It exposes six tools over MCP stdio:

Tool What it does
workspace_status Returns the queue (ready / blocked / active / shaping items) and active-run state — current phase, whether a gate is pending, and the gate question
elicit Sends a question to the operator and blocks until they respond (300 s timeout)
git_status Returns uncommitted changes (git status --short)
git_branch Creates and checks out a feature branch scoped to the dispatched item
git_commit Stages and commits only files under the item's configured output paths
git_push Pushes the session branch to origin

Spawn it (the harness does this, not the agent):

python3 -m agentbundle.workspace_mcp

Trusted checkout only. This form runs whichever agentbundle is on sys.path. If the repo uses an editable install (pip install -e .), it runs the local checkout's code. Use only on repos you trust. An isolated spawn mode (python3 -I -m agentbundle.workspace_mcp) is planned for Stage 2 and will require a stable non-editable install.

Inject the session instruction so the agent knows to use the tools:

from agentbundle.workspace_mcp import DEFAULT_SESSION_INSTRUCTION

Pass exactly one environment variable when spawning to set the session mode: WORKSPACE_MCP_SPEC_PATH (path to the spec directory) for FSM/work-loop items, or WORKSPACE_MCP_DISPATCHED_ITEM (ini_slug/type:slug) for non-FSM shaping items. Setting neither gives discovery-only mode (git writes disabled). Setting both is unsupported — only one selects the mode.

Credentials

agentbundle doesn't resolve secrets. Credentialed skills use credbroker, a standalone resolver that keeps cleartext out of the model's reach.

Learn more

The full story — the loop, the reviewers, the pack catalogue — is in the agent-ready-repo README.

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