oh-my-field 0.2.3

Evidence-backed capability packaging layer for cross-runtime agents.

oh-my-field

Website

Field-fit agents to real work. oh-my-field turns one-off agent sessions into portable, evidence-backed capability packages.

OMF can be driven by hand from the CLI, but the intended loop is agent-assisted: an agent records its own work as an OMF session, materializes that work into immutable evidence, promotes the repeatable parts into a reviewable capability package, and carries that capability across runtimes, models, and projects.

The OMF CLI is Apache-2.0 licensed. Capability artifacts generated from your work remain owned by you or the project that generated them unless you choose to publish them under separate terms.

oh-my-field is currently published as an alpha CLI. The core package and capability contracts are usable, but release consumers should expect the public surface to keep tightening while feedback lands.

What OMF Is

• A capability packaging and verification layer around external agents.
• A way to keep good agent work as reviewable, repeatable, portable packages.

What OMF Is Not

• Not an agent runtime — Codex, Claude Code, Hermes, Pi, Odysseus, or another agent does the work.
• Not a prompt vault — a capability is instructions plus context policy, harness, evidence, eval cases, and integrity metadata.
• Not an autonomous shell runner — risky commands are recorded as intent and require explicit approval before they execute.

Why It Exists

• Agent work disappears into chat history instead of compounding.
• A good run is hard to reproduce without its evidence, context, and checks.
• Local/domain tacit knowledge (constraints, preferences, failure history) is rarely captured.
• Migrating runtime or model silently loses behavior.
• Teams need evidence, harnesses, and reviewable packages — not another hand-written prompt.

The product goal: turn "the agent did this once" into "this team can reuse and verify this capability again."

How OMF Fits Into An Agent Workflow

The agent still does the work. OMF records what happened, preserves evidence, promotes repeatable work into a capability package, and tracks whether that capability actually works on another runtime or project.

external agent runtime
  Codex / Claude Code / Hermes / Pi / Odysseus / local agent
        │
        ▼
OMF session  ──or──  imported run
        │
        ▼
evidence record
        │
        ▼
capability package
        │
        ├── health / verify / eval / review
        ├── learn / reflect / harden
        ▼
runtime export bundle
        │
        ▼
target project import
        │
        ▼
target validation

See docs/concepts.md for the Field, Evidence, Capability, Harness, and Portability definitions, and docs/agent-ux.md for the activation model.

Install

pipx install oh-my-field      # persistent CLI install
omf --help

uvx oh-my-field --help        # try without installing

Development install from source:

git clone https://github.com/Baekpica/oh-my-field.git
cd oh-my-field
uv sync --all-extras --dev
uv run omf --help

Local checks mirror CI — see CONTRIBUTING.md and docs/development.md. The full install guide, including how to verify the install, is in docs/install.md.

Agent Activation

OMF can be used manually, but the intended loop is agent-assisted. Install an OMF meta-skill for the target agent runtime:

omf install skill --runtime codex
omf install skill --runtime claude_code
omf install skill --runtime hermes
omf install skill --runtime pi
omf install skill --runtime odysseus --project /path/to/odysseus
omf install skill --runtime generic --scope export

By default Codex, Claude Code, Hermes, and Pi install into their user-level skill discovery paths (~/.agents/skills, ~/.claude/skills, ~/.hermes/skills, ~/.pi/agent/skills). Odysseus installs into the target checkout's data/skills tree. generic keeps producing reviewable export assets under .omf/agent/omf-skill.

For MCP-capable clients, patch the matching client config and run the stdio server:

omf install mcp --client codex
omf install mcp --client claude_code
omf install mcp --client hermes
omf install mcp --client pi
omf install mcp --client odysseus --project /path/to/odysseus
omf install mcp --client generic --scope export --out .omf/mcp.json
omf mcp serve

omf runtime install <runtime> combines both steps (controller skill + MCP config), and omf runtime conformance <runtime> verifies the adoption surface afterwards: controller skill installed, MCP config present, omf on PATH, capability skills installed as launchers, and imported targets validated. Exported per-capability skills are launcher-style by default -- they direct the agent into the OMF lifecycle instead of restating the task (see docs/portability.md).

Once activated, a human can say /omf or "track this task with OMF" and the agent records its work as an OMF session, materializes that session into immutable evidence, and proposes a reusable capability package. The MCP surface mirrors the same loop (omf_start_session, omf_record_input, omf_record_artifact, omf_record_validation, omf_record_decision, omf_materialize_session, omf_promote_capability, …). See docs/mcp.md and docs/agent-ux.md.

Quickstart A: Track An Agent Session

Use this when an agent can call OMF during the work.

omf init

omf session start \
  --runtime codex \
  --model gpt-5.5 \
  --goal "triage repository issue" \
  --activation-source skill

Create a tiny input, output artifact, and validation result for the example:

mkdir -p output
printf "issue: repository bug report\n" > issue.md
printf '{"status":"triaged"}\n' > output/report.json
printf "pytest passed\n" > output/pytest.txt

Copy the session_id from the JSON output, then record meaningful events. The context, artifact, and validation paths make the materialized evidence strict-ready for promotion:

omf session event <session_id> \
  --type context \
  --summary "Captured issue report" \
  --path issue.md

omf session event <session_id> \
  --type command \
  --summary "Ran the test suite" \
  --command "uv run pytest" \
  --exit-code 0

omf session event <session_id> \
  --type artifact \
  --summary "Produced triage report" \
  --path output/report.json

omf session event <session_id> \
  --type test_result \
  --summary "pytest passed" \
  --path output/pytest.txt \
  --command "uv run pytest" \
  --exit-code 0

omf session finish <session_id> --outcome success
omf session materialize <session_id>
omf session suggest-capability <session_id>

Promote the resulting evidence into a capability and check its health. promote is strict by default; use --no-strict only when intentionally promoting legacy or incomplete evidence:

omf promote <evidence_id> \
  --name repo_issue_triage \
  --description "Repository issue triage capability"

omf health repo_issue_triage

Quickstart B: Import An Existing Run

Use this when the agent already produced logs, diffs, test outputs, or artifacts.

mkdir -p /tmp/omf-smoke
printf "agent run log\n" > /tmp/omf-smoke/codex.log
printf "pytest passed\n" > /tmp/omf-smoke/pytest.txt

omf import-run codex \
  --log /tmp/omf-smoke/codex.log \
  --goal "triage repo issue" \
  --test-result /tmp/omf-smoke/pytest.txt \
  --evidence-dir /tmp/omf-smoke/evidence \
  --outcome success

omf promote <evidence_id> \
  --name repo_issue_triage \
  --description "Repository issue triage capability" \
  --evidence-dir /tmp/omf-smoke/evidence \
  --capabilities-dir /tmp/omf-smoke/capabilities

omf health repo_issue_triage \
  --capabilities-dir /tmp/omf-smoke/capabilities

From a source checkout, prefix each command with uv run. The full walkthrough, including the export/import/validate path, lives in docs/quickstart.md.

What You Get

promote creates a runtime-neutral package under capabilities/<name>/ — the source of truth:

capabilities/<name>/
  capability.yaml     # canonical metadata and provenance
  instructions.md     # runtime-neutral agent instructions
  harness.yaml        # verification and approval boundaries
  README.md           # human-readable capability card
  contracts/
    task_contract.yaml
    artifacts.yaml
    validation.md
    replay_plan.yaml
  validators/
    validate_contract.py

The contract bundle is generated from hardened evidence and is copied into runtime exports so target agents can see the task, artifact, validation, and replay contract without reconstructing it from prose.

That per-capability README.md is the capability card — purpose, source evidence, harness summary, portability and review status — and is distinct from this repository's README.

omf init sets up the repo-local field — .omf/config.yaml, .omfignore, and the artifact directories. It also creates the top-level capabilities/ directory for reviewable packages:

capabilities/
  <name>/

.omf/
  evidence/      sessions/     exports/      imports/
  evals/         replays/      context/      learning/
  datasets/      reflections/  workflows/    runs/

Runtime-specific files (Codex instructions, Claude Code memory, Hermes/Pi/Odysseus skill projections, and generic skill bundles) are projections of the package, not the source of truth.

.omf/config.yaml records local field defaults and .omf/registry.yaml is local registry metadata. The package files under capabilities/<name>/ remain the authoritative capability source.

Learning And Datasets

Accumulated evidence becomes reviewable learning material, not silent training data. learn and reflect turn evidence and eval results into learning exports and reflection reports; learn-patch records accept/reject decisions on proposed prompt patches.

dataset-export then emits JSONL from those downstream artifacts — learning exports (fine-tuning), patch decisions (preference), and eval results (eval) — not from raw evidence. Review and harness status sit upstream, so unreviewed or failing runs do not silently become a dataset.

omf dataset-export <capability_name> --dataset-type all

Command Map

Area	Commands	Purpose
Setup	init, doctor, version	Create and inspect a repo-local OMF field
Agent activation	install skill, install mcp, mcp serve	Give agents a lower-friction OMF surface
Session tracking	session start, session event, session finish, session materialize, session suggest-capability	Record active agent work as structured evidence
Evidence ingestion	import-run, capture	Import existing logs, artifacts, diffs, and test results
Capability build	promote, health, harden, card, registry	Create and inspect reusable capability packages
Verification	replay, eval, verify, regression-case	Check whether a capability still satisfies its harness
Review and learning	review, approve, reject, revise, learn, learn-patch, reflect	Turn feedback and failures into accepted patches
Pipeline	run, resume, rollback, status	Drive and resume the full checkpointed pipeline
Portability	capability export, capability import, capability validate, capability remap, capability adapt, export	Move capabilities across runtimes and projects
Operations	dashboard, inspect, diff, explain (why), context, dataset-export	Inspect, explain, compare, and export accumulated evidence

Portability Lifecycle

A capability moves across runtimes through four distinct states — keep them separate, because "can be exported" is not "works on the target":

• Exported: converted into a target runtime bundle (omf capability export).
• Imported: bundle materialized in a target project (omf capability import).
• Validated: an actual target run passed under the recorded target runtime/model/project (omf capability validate --run-command ...). Static import --validate alone leaves the import at needs_validation.
• Portable: the capability has at least one validated target import.

omf health reports export_status, import_status, and validation_status separately, and lists each imported target with its own status.

omf capability export repo_issue_triage --target hermes \
  --out .omf/exports/repo_issue_triage-hermes
omf capability import .omf/exports/repo_issue_triage-hermes \
  --runtime hermes --validate
omf capability validate repo_issue_triage --target hermes \
  --run-command "hermes-code --profile target --skill repo_issue_triage" \
  --approve-command-risk

The full cross-runtime walkthrough (Codex/gpt-5.5 → Hermes/qwen3.6-27B, redacted evidence transfer, overlays) is in docs/portability.md and the runtime adapter docs.

Safety Model

OMF is not an arbitrary shell runner. It records command intent and risk. Commands classified as write, destructive, external, credential, production, or paid risk are recorded but not executed unless they receive explicit approval (--approve-command-risk). Capability exports are gated by --approve-export.

• Prefer the shell-free --run-argv form (one token per flag) over the legacy shell strings --command / --harness-command / --run-command; --require-cwd-inside-project blocks commands that escape the project root.
• Commands run with a minimal environment (PATH, HOME, TMPDIR); secret-bearing vars (OPENAI_API_KEY, ANTHROPIC_API_KEY, AWS_*, GITHUB_TOKEN, …) are stripped and recorded. Opt one back in with --allow-env NAME.
• import-run --artifact-root skips .git/, .venv/, node_modules/, .env*, private-key patterns, and symlinks; honors .omfignore/--exclude; and caps traversal via --max-artifact-count/--max-total-artifact-bytes.

Full details: docs/security.md.

Architecture At A Glance

OMF is organized into layers (flat root modules such as oh_my_field.models and oh_my_field.storage remain as compatibility shims while call sites migrate):

Layer	Path	Responsibility
CLI	src/oh_my_field/cli/	Typer command surface
Application	src/oh_my_field/application/	use-case workflows
Domain	src/oh_my_field/domain/	models, rules, lifecycle
Infrastructure	src/oh_my_field/infrastructure/	storage, hashing, execution
Adapters	src/oh_my_field/adapters/	runtime-specific behavior
Schemas	schemas/	artifact JSON Schema contracts

See docs/architecture/overview.md for the dependency direction and per-concept layout.

Learn More

• Full product and feature reference: oh-my-field.md
• Install guide: docs/install.md
• Quickstart (session / import / portability paths): docs/quickstart.md
• Agent UX and activation: docs/agent-ux.md
• MCP surface: docs/mcp.md
• Concepts: docs/concepts.md
• Portability: docs/portability.md
• Security model: docs/security.md
• Architecture overview: docs/architecture/overview.md
• Development guide: docs/development.md
• Runtime adapters: Codex, Claude Code, Hermes, Generic

Practical Notes

• The agent-assisted session loop is the primary path; manual import-run is the fallback when you only have logs after the fact.
• Keep generated examples in /private/tmp/... while trying the CLI.
• Record failed runs too; they are the raw material for stronger capabilities.
• Treat human review as part of the system, not as a failure mode.