home-network-k3s-impl/platform/pm-agent

pm-agent — an AI Program Manager that turns Gitea issues into pull requests

A service that runs in the cluster, reads the issues of Home-Network/home-network-k3s-impl, decides what to do about each thread as the Program Manager persona this repository already works under, and runs one worker agent per assignment that authors the change, runs the merge gate and opens a pull request.

It reacts to issue creation and to comments on issues. Every assignment and every piece of correspondence travels through the issue thread and the pull request, so the whole record of what the agent did, and why, is in the same place a human is already looking.

It never pushes to main and never merges a pull request. The merge gate remains the approver, and a sensitive-path change still needs the human review ci/approval-policy.sh requires.

Design, alternatives considered, threat model	docs/plans/pm-agent-issue-to-pr.md
Operator runbook — stopping it, reading its logs, rotating its tokens	runbooks/pm-agent.md
The image, the two entrypoints, the PM persona	infra/agent/
The security boundary	platform/kyverno/admission/pm-agent-job-shape.yaml

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It does nothing at all until an operator does two things

Both are deliberate, and both fail visibly rather than silently:

1. The image does not exist. platform/pm-agent/deployment.yaml and PM_WORKER_IMAGE in configmap.yaml carry an all-zero digest placeholder. Build it with infra/agent/build-image.sh (which verifies it and refuses to push), push it as the operator, then update both places with the digest podman push --digestfile returned, in one pull request. Until then: ImagePullBackOff.
2. The credentials are placeholders. pm-agent-credentials.sops.yaml is encrypted to the repository's age recipient but holds REPLACE-ME-… strings. The hand-off — which Gitea account to create, which scopes, and why it must not be an administrator — is in pm-agent-credentials.sops.yaml.example. Until then the dispatcher CrashLoops with GET /user returned no login — is GITEA_TOKEN valid?.

Its Flux Kustomization is wait: false precisely because of those two states: a workload that is expected to be unhealthy for a while must never be able to gate anything.

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How it works

                   ┌──────────────────────── pm-agent namespace ─────────────────────────┐
                   │                                                                     │
  Gitea issue  ───▶│  pm-dispatch (1 replica, Recreate)                                  │
  (poll, 60s)      │    1. list open issues                                              │
                   │    2. act iff the NEWEST thing in the thread is not mine            │
                   │    3. ask the model, under the PM persona, with NO tools             │
                   │       → {action, branch, brief, comment}                            │
                   │    4. validate it, then: create the Job, then post the comment      │
                   │                        │                                            │
                   │                        ▼                                            │
                   │  pm-worker (one Job per assignment, no SA token, read-only rootfs)   │
                   │    clone → branch → read the live thread → Claude Code session →     │
                   │    ./ci/gate.sh → commit → push → open the PR → comment on the issue│
                   └─────────────────────────────────────────────────────────────────────┘
          egress: gitea:3000 · kube-apiserver (dispatcher only) · tcp/443 · DNS.  ingress: none.

There is no database and no PVC. The trigger is a question asked of the issue thread itself — act iff the newest thing in this thread was not written by me — and since the PM always answers in the thread, acting makes the thread quiet again until a human (or a worker) says something else. The Gitea thread is the state. It survives restarts with no recovery path to get wrong, it is readable by the operator in the place they already look, and it creates no R-STATE-03 obligation for irreplaceable state.

It polls; it does not receive webhooks. Gitea's webhook SSRF guard ([webhook] ALLOWED_HOST_LIST) does not by default permit calling a private in-cluster address, a missed delivery is simply lost, and a receiver would need inbound reach into a namespace whose entire purpose is running model-authored code. The cost is up to 60s of latency. The full argument is in the header of infra/agent/pm-dispatch.py.

The PM holds no tools. It runs claude --print --tools "" against a JSON schema: text in, one JSON object out, no Bash, no file access, no network of its own. The dispatcher then validates every field — the action against a fixed set, the branch against CLAUDE.md §4's pattern, revise against the branch that actually carries the issue's work — and builds the Job from a committed template. The model's output is data, never a command.

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What the worker can and cannot do

can	change any file in its own clone; run any command in the container; run the gate; read the issue thread and the pull requests
can	push one branch (the one the PM named, validated twice against ^(feat|fix|docs|chore)/…) and open/update its pull request
can	post comments on its own issue
cannot	push to main — refused by pm-worker before anything runs, and by branch protection regardless
cannot	merge anything — the gate is the approver, and the service makes no merge call
cannot	reach the Kubernetes API: no ServiceAccount token is mounted, the pm-agent-worker identity is bound to nothing, and the egress policy does not include the API server. kubectl is on its PATH (the gate's toolchain needs it) and is inert
cannot	reach anything except this Gitea and tcp/443 — no package registry, no GitHub
cannot	clone from or push to any host but this Gitea: pm-worker validates PM_GITEA_URL against an allowlist baked into the image
cannot	authenticate a git push during the model session: GIT_ASKPASS is unset for its duration, so the restriction is structural rather than a request in a prompt
cannot	be created in any shape but the committed one — see the admission policy

What is not defended, stated plainly

• The worker's own credentials are inside the model's reach. The session runs as the same uid in the same container as the wrapper, so it can read the environment, including its GITEA_TOKEN and CLAUDE_CODE_OAUTH_TOKEN. There is no isolation between them and none is claimed. What bounds it: the Gitea token is scoped write:repository, write:issue on one repository with no admin permission, and egress reaches only this Gitea and tcp/443.
• world:443 is wider than api.anthropic.com. Cilium can express the tighter rule (toFQDNs) but nothing in this repository uses FQDN policy and its prerequisite (Cilium's DNS proxy) has not been measured here. Narrowing it is a tracked follow-up with that measurement as its first step, not a one-line edit.
• A write collaborator in Gitea can merge a pull request. No token scope separates "push a branch and open a PR" from "merge it". The service issues no merge call — that is all of pm-worker's API calls, readable in one file — but it is a property of the code, not of the credential. What the non-admin permission does buy structurally is that the bot cannot post /approve-override, so a sensitive-path pull request from the agent correctly sits unmergeable until a human reviews it.
• The PM cannot see the repository. It triages from the thread alone, so its brief is a belief about where the work lives, not a verified fact — which is why the persona requires it to say so, and why the worker is told to investigate before changing anything.
• Nothing here has run. Everything in this directory is authored and gate-checked offline. No part of this service has been built, pushed, deployed or observed; see the handoff entry's "What I did NOT verify".

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The escalation this service is built around

Kubernetes places no use check on a Pod's serviceAccountName. So "may create Jobs in namespace X" is equivalent to "may run arbitrary code as the most privileged identity in namespace X" — no matter how narrow the creator's own Role looks. The dispatcher creates Jobs. That is the whole problem, and this repository has met it before (conformance/incluster/rbac.yaml).

Two things answer it, and neither is sufficient alone:

1. There is nothing to escalate to. pm-agent-worker is bound to no Role at all, and the Job template mounts no token. The prize is empty.
2. The shape is constrained at the API server. platform/kyverno/admission/pm-agent-job-shape.yaml is Enforce + failurePolicy: Fail and admits only: the digest-pinned agent-runner image, exactly one container, the pinned command with no args, that powerless SA, no mounted token, restartPolicy: Never, non-root with no privilege escalation and a read-only root filesystem, only the workspace/tmp emptyDir volumes, no init or ephemeral containers, only the committed env names, and no envFrom.

Six rules, because pinning command only moves the injection to whatever adjacent field nobody enumerated — on the sibling policy that was initContainers (measured: a Job with a compliant containers[0] and a privileged init container was admitted, pass 3 fail 0), then ephemeralContainers, then env, then envFrom. All of them are closed here from the start, and platform/kyverno/tests/pm-agent/ proves each refusal offline: 28 assertions, 28 passing under the pinned kyverno CLI.

The policy is applied by platform-config/kustomization.yaml, and it has to be: adding a ClusterPolicy only to platform/kyverno/admission/kustomization.yaml is a silent no-op. That is exactly how the conformance boundary shipped green and never reached the cluster on 2026-09-29.

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Operating it

Every knob is in configmap.yaml, with the reasoning next to it. The five that matter:

knob	default	what it is for
PM_REQUIRE_LABEL	"" (every open issue)	set it to agent and only issues a human has labelled are in scope. Recommended for the first weeks — it bounds the agent to work somebody deliberately handed it, with no code change
PM_DRY_RUN	false	still triages and still posts what it would have done; creates no worker. The honest way to watch it for a day
PM_MAX_ACTIVE_WORKERS	2	concurrent workers. RAM is the binding constraint (2Gi limit each) and the subscription seat's rate limits are shared with every other use of that seat
PM_MAX_NEW_WORKERS_PER_CYCLE	1	drains a backlog one issue at a time instead of in one stampede the first minute the credentials work
PM_PUSH_ON_RED_GATE	false	a change the gate refused is not pushed; the issue gets the gate log instead

Changing a knob requires bumping the config-generation annotation in deployment.yaml in the same commit — the process reads its configuration once, at startup, so without the bump the ConfigMap changes and nothing does. (Same class of defect as the inert merged cilium-config: decisions/2026-10-05-cilium-roll-out-on-config-change.md.)

To stop it, in increasing severity: PM_DRY_RUN, scale to zero, suspend the Kustomization, or revoke the Gitea token. Step-by-step in runbooks/pm-agent.md.